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hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety. \n ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM’s agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research. Advising executive leadership on risks posed by AI systems via the frontier safety framework based on our threat models and evaluations. \n We are prioritising hires for deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers. \n Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. \n We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.\n, • 3 years of experience in software development, ML engineering, or ML research.\n, • Experience working with research teams.\n\n Preferred qualifications: \n\n • Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.\n, • Experience with training large models (e.g., supervised finetuning, RLHF).\n\n Responsibilities: \n\n • Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.\n, • Develop adversarially robust AGI control systems and implement them in production.\n, • Research interpretability techniques to understand what AI systems are ‘thinking’.\n, • Work with product teams to ensure that our research is correctly adopted.\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About The Team \n The Global KYC and Onboarding Squad is improving Wise's KYC and onboarding experience by reducing three things at the same time: \n\n • \n Financial crime risk, by making reviews, controls, and decisioning more effective. \n • \n Operational cost, by automating repeatable work and improving how agents handle complex cases. \n • \n Customer friction, by making verification clearer, faster, and easier to complete. \n\n Business Onboarding Verification focuses on business customers. Businesses are not simple identity objects: they are legal entities connected to directors, shareholders, UBOs, authorised signatories, employees, documents, registry data, vendor data, ownership structures, risk signals, and market-specific requirements. \n That makes KYB one of Wise's most complex verification domains. It is also one of the biggest opportunities to improve customer experience, reduce manual work, improve control quality, and build better risk decisioning. \n About The Role \n We are hiring a Product Manager to own one of the workstreams within Business Onboarding Verification. Each PM within the team owns a complex product area end to end, from discovery and roadmap through delivery, measurement, and iteration. \n These are not generic AI, programme management, or stakeholder coordination roles. You will coordinate complex work, but the core of the job is product ownership: defining the problem, shaping the solution, making trade-offs explicit, setting success metrics, launching safely, and ensuring each change improves KYB as a product. \n What You Will Own \n\n • \n Own the product roadmap for one BOV workstream, from discovery through launch and iteration. \n • \n Identify the highest-value problems using customer friction, operational cost, manual review load, risk impact, regulatory need, and delivery readiness. \n • \n Translate ambiguous KYB problems into clear product requirements, launch criteria, success metrics, and learning loops. \n • \n Partner with Engineering, Analytics/Data Science, Product Compliance, Risk, Operations, regional teams, vendors, support partners, and adjacent PMs. \n • \n Define launch metrics and guardrails across customer impact, manual review load, operational adoption, control quality, false positives, false negatives, auditability, monitoring, and rollback. \n • \n Build feedback loops from agents, QA, assurance, customer outcomes, support contacts, downstream risk signals, and vendor/model performance where relevant. \n • \n Balance tactical delivery with long-term product foundations. \n\n What Success Looks Like In The First 6-12 Months \n\n • \n Your workstream has a clear roadmap with explicit priorities and measurable outcomes. \n • \n The team has shipped meaningful product improvements, not just analysis or coordination. \n • \n Product changes are safer to launch because metrics, guardrails, monitoring, fallback paths, and ownership are clear. \n • \n Cross-functional partners understand what is being solved, why it matters, who owns what, and how success will be measured. \n • \n KYB becomes faster, more measurable, more auditable, and easier for legitimate businesses and agents to navigate. \n\n This Role Gives You The Opportunity To \n\n • \n Work on one of the most important regulated onboarding domains at Wise. \n • \n Improve the experience for business customers and the agents reviewing their cases. \n • \n Build practical AI, automation, decisioning, controls, and platform foundations in a real operational environment. \n • \n Work across Product, Engineering, Compliance, Risk, Operations, Analytics, regional teams, and vendors on high-stakes problems. \n • \n Shape how Wise moves from fragmented manual review and tactical control work toward reusable, measurable KYB capabilities. \n\n Qualifications \n What We Are Looking For \n\n • \n You have product management experience owning complex work from discovery through delivery and measurable outcomes. \n • \n You are comfortable in data-heavy, risk-sensitive, operational, regulated, onboarding, payments, trust and safety, compliance, or fintech domains. \n • \n You can reason with data and metrics, including denominators, baselines, segmentation, sample bias, data quality, attribution limits, and guardrails. \n • \n You can translate ambiguous product, risk, compliance, or operational problems into clear requirements, launch criteria, and iteration plans. \n • \n You understand that regulated product delivery needs evidence, auditability, operational readiness, monitoring, and ownership. \n • \n You communicate clearly, make trade-offs explicit, and can create alignment without formal authority. \n\n Strong Additional Signals \n\n • \n Experience in KYB, KYC, business onboarding, financial crime, identity, fraud, risk decisioning, compliance tooling, operational tooling, payments, or regulated fintech. \n • \n Experience with AI, LLMs, ML models, document intelligence, decisioning systems, vendor evaluation, or agent-assist tooling. \n • \n Experience turning remediation, audit, or control gaps into product or platform improvements. \n • \n Experience reducing manual operations through automation, workflow redesign, better data, internal tools, QA/assurance processes, monitoring, or dashboards. \n • \n Experience with legal entities, ownership structures, UBOs, directors, shareholders, authorised signatories, business registries, or complex evidence workflows. \n\n Additional Information \n\n • \n Base salary: £120-148K (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) & a variety of other benefits: Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n\n • \n Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. \n • \n Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: \n \n • \n Discover and assess their requirements. \n • \n Prepare and present demonstrations of Sierra’s agent. \n • \n Address and overcome technical challenges in the business process by working with technical counterparts. \n • \n Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. \n • \n Become trusted advisors and drive strategic technical strategies for our customers. \n \n • \n Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. \n\n What you’ll bring \n\n • \n 5-7+ years experience in product development of highly technical products. \n • \n Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. \n • \n Experience crafting and tailoring a message for potential customers, including executives. \n • \n Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. \n • \n Professional fluency in both German and English. \n\n\n • \n Degree in a technical or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience with product development for AI agents a plus). \n • \n Some coding experience with React, Typescript, and Go. \n • \n MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). \n • \n Past roles that interface with end customers to influence software development. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. \n Job Responsibilities \n\n • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n, • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community \n \n\n Required qualifications, capabilities, and skills \n\n • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.\n, • Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods\n, • \n Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments \n • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n Preferred qualifications, capabilities , and skills: \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a GE Activation Lead, you will serve as the tactical engine driving the adoption of Gemini Enterprise (GE) across Google Cloud’s accounts. Your primary mission is to industrialize AI excellence by moving licenses from sold to activated, with a relentless focus on increasing Weekly Active Users (WAU) and ensuring production-grade deployment of AI agents and workflows. \n In this role, you will lead the GE Accelerator efforts, acting as the bridge between Google’s AI product roadmap and partner field execution. By arming partners with technical architecture and programmatic, you will help customers move beyond pilot phases into full-scale production-grade deployments that meet the standards of operational impact. \n Minimum qualifications: \n\n • Bachelor’s degree in Electrical Engineering, Computer Science, or an equivalent technical field.\n, • \n 10 years of experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. \n • Experience leading, coordinating, or architecting AI/ML technical transformations.\n, • Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles.\n\n Preferred qualifications: \n\n • Master’s degree in Computer Science, Electrical Engineering, or an MBA with a technical undergraduate background.\n, • Proficiency with Google Cloud AI offerings (Vertex AI, Gemini) and familiarity with modern multi-agent systems such as LangGraph or CrewAI.\n, • Ability to navigate complex co-investment models and milestone-based incentive agreements that align partner business with actual customer ROI.\n, • Ability to view the partner ecosystem as a product, constantly iterating on feedback loops between funding, partner capabilities, and customer success.\n\n Responsibilities: \n\n • Manage the end-to-end activation model, guiding partners through stages from value establishment to active transformation. Manage partner performance using a 5-KPI scorecard focusing on the number of deployments, WAU alignment, partner headcount with GE seats, practitioner delivery experience, and pipeline health.\n, • Oversee the deployment and continuous improvement of the activation library, including technical assets such as ROI calculators, business cases, and workshops designed to help partners activate seats and prove customer value.\n, • Facilitate coordination between Customer Account Leads (CALs), Customer Engineers (CEs), Professional Services (PSO), and partner engineers to troubleshoot technical blockers and maintain a clear log of product issues for feedback to engineering.\n, • Identify customer solutions and transform them into repeatable Ecosystem Playbooks. Translate successful partner-led transformations into global design patterns \n

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n\n • \n Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. \n • \n Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: \n \n • \n Discover and assess their requirements. \n • \n Prepare and present demonstrations of Sierra’s agent. \n • \n Address and overcome technical challenges in the business process by working with technical counterparts. \n • \n Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. \n • \n Become trusted advisors and drive strategic technical strategies for our customers. \n \n • \n Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. \n\n What you’ll bring \n\n • \n 5-7+ years experience in product development of highly technical products. \n • \n Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. \n • \n Experience crafting and tailoring a message for potential customers, including executives. \n • \n Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. \n\n\n • \n Degree in a technical or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience with product development for AI agents a plus). \n • \n Some coding experience with React, Typescript, and Go. \n • \n MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). \n • \n Past roles that interface with end customers to influence software development. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Senior Data Scientist I \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Your mission \n You’ll explore how to harness the potential of AI to scale your impact as a designer. You’ll quickly test and iterate on your ideas with a high degree of freedom and flexibility, learning as part of your day-to-day work as the technology evolves. \n You’ll shape the core Wise Assistant experience for Support and beyond. You’ll design the system that guides our customers through every part of the Wise product, giving them quick and reliable help exactly when they need it. Together with your technical partners, you’ll architect and design agents, own prompts, and define how context and knowledge are used to resolve real customer problems. \n This role will sit within the Content Design Guild as part of our Design team, as the disciplines share a common skill set and design process. \n How you’ll contribute: \n\n • Together with a team of engineers, product managers, and data scientists, you’ll design the systems that enable Wise to deliver conversational AI experiences that help customers at the exact moment they need support.\n, • You’ll collaborate with partners across engineering, data science, product, and design to set the vision and strategy, and coach teams to deliver it.\n, • You’ll shape agent behaviour, define how components of the system interact, and own prompts, reasoning, and context.\n, • You’ll be influential within your product area, identifying and prioritising system needs and delivering the most impactful projects across multiple teams.\n, • Using your expertise, you’ll raise design maturity and deepen the Support squad’s understanding of context engineering.\n, • As part of the Content Design Guild, you’ll regularly collaborate with Wise’s wider content community. You’ll also have plenty of opportunities to partner with other Model and Content Designers to evolve how we approach working with AI as designers.\n\n This role will give you the opportunity to: \n\n • Own the squad’s automation strategy end to end and steer its direction.\n, • Champion quality for our customers—you’ll define what good looks like within the squad and demonstrate it through everything you ship.\n, • Be part of a positive change in the world. We’re fixing a broken system and putting people and businesses in control of their money.\n\n About you: \n\n • You’re an accomplished and experienced Model Designer, or a systems-focused Content Designer who has already made this transition in your day-to-day work. You bring extensive experience in designing large, complex automation systems that deliver exceptional experiences to customers.\n, • You have an in-depth understanding of AI and strong perspectives on how its underpinning systems should be shaped, both within user-facing products and as part of the design process.\n, • You’ve designed systems that generate content and experiences to guide customers, including prompts, guardrails, knowledge architecture, and agents.\n, • You love learning new things, nerding out on technical details, and applying what you learn to solve complex problems.\n, • You’re comfortable navigating ambiguity and collaborating successfully in this kind of environment. You learn quickly and put what you learn into practice.\n, • You have an eye for quality and know where to focus to improve it.\n, • You’re influential and inspiring, and you work well with others in a culture that values autonomy and empowerment. You champion the role of model design and content design in automation-based projects and enjoy coaching designers who are new to these kinds of products.\n, • You’re highly empathetic, both towards customers and the people you work with.\n\n Heads up: this probably isn’t for you if: \n You haven’t previously worked hands-on with a large-scale automated system. This role requires a high level of technical expertise and the ability to partner as an equal with data scientists and engineers when designing large, complex AI systems. You should already have a strong working knowledge of common prompt-engineering techniques and frameworks, context engineering, and agentic design. \n Your experience is mostly in marketing content, advertising, copywriting, journalism, or social media, and you have no hands-on experience in model design, content design, or UX. \n You’re not comfortable navigating complexity or working in a fast-paced environment. \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. \n As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. \n Job Responsibilities: \n\n • Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.\n, • Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.\n, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Advanced degree in Computer Science, Data Science, Machine Learning, or related field.\n, • Experience building and deploying agentic AI applications in production environments.\n, • Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.\n, • Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.\n, • Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.\n, • Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.\n, • Familiarity with cloud platforms and containerization technologies.\n, • Strong problem-solving skills and ability to work independently and collaboratively.\n, • Effective communication skills for technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in financial services, especially investment banking operations.\n, • Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.\n, • Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.\n, • Experience with distributed computing, data sharding, and performance optimization.\n, • Hands-on experience with AWS services related to AI deployment and workflow orchestration.\n\n Why Join Us? \n We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 5 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Excellent communication skills, and proven experience enabling technical teams on Agentic AI, at scale.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree or equivalent practical experience.\n, • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.\n, • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).\n, • Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).\n, • Ability to communicate in French and German fluently to support client relationship management in this region.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.\n, • Knowledge of Large Language Model"(LLM)-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.\n\n Responsibilities: \n\n • Lead development of complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.\n, • Design and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.\n, • Develop high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Partner with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n\n • \n Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. \n • \n Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: \n \n • \n Discover and assess their requirements. \n • \n Prepare and present demonstrations of Sierra’s agent. \n • \n Address and overcome technical challenges in the business process by working with technical counterparts. \n • \n Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. \n • \n Become trusted advisors and drive strategic technical strategies for our customers. \n \n • \n Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. \n\n What you’ll bring \n\n • \n 5-7+ years experience in product development of highly technical products. \n • \n Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. \n • \n Experience crafting and tailoring a message for potential customers, including executives. \n • \n Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. \n • \n Professional fluency in both Spanish and English. \n\n\n • \n Degree in a technical or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience with product development for AI agents a plus). \n • \n Some coding experience with React, Typescript, and Go. \n • \n MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). \n • \n Past roles that interface with end customers to influence software development. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Position: Senior Forward Deployed Engineer \n Location: London or Amsterdam, 3 days a week in office \n The Role: \n We're looking for a technically sharp, product-minded engineer to help push the frontier of AI across Just Eat Takeaway. You'll work with some of our most ambitious internal teams and technology partners - helping them get the most out of advanced AI, and turning those learnings into durable improvements across our organisation. \n This is a builder role. You'll dig into complex workflows, identify the gaps that matter, and translate them into concrete technical insights that shape how we build. If you're as comfortable debugging a live workflow as you are designing an evaluation framework or presenting findings to a non-technical audience, you'll fit right in. \n Key Responsibilities: \n\n • \n Work directly with internal teams and strategic partners to understand critical workflows, uncover failure modes, and identify the highest-impact opportunities for AI improvement. \n • \n Prototype and iterate on prompts, agents, and workflow designs to understand system behaviour and unlock real value - not just theoretical improvements. \n • \n Synthesise findings for our Product Engineering and Platform teams, turning real usage patterns into clear, reproducible evaluations, benchmarks, and technical artefacts that improve product and platform quality. \n • \n Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases - not just one-off fixes. \n • \n Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term systemic improvement. \n • \n Build relationships across our engineering and product communities, serving as a trusted technical partner to individuals and teams alike. \n\n These are some of the key components to the position: \n You'll thrive here if you have strong software engineering and AI fundamentals - whether that's from experience in a startup, or a product focused role in a larger org. Software engineer, ML engineer, data scientist, or equivalent. Product Managers, BAs or Technical Programme Managers keen to return to a builder role. A track record of shipping production systems end-to-end is a strong plus. \n What will you bring to the team? \n\n • \n Experience building AI applications, agents, or evaluation systems, with the ability to reason clearly about model behaviour in complex workflows. \n • \n Comfort working directly with highly experienced functional SMEs and translating their challenges into concrete technical signals. \n • \n Fluency moving between prototyping, debugging, evaluation design, and cross-functional collaboration - sometimes all in the same day. \n • \n Working across every layer of the stack - Able to switch between configuring a connector in an admin panel to prompting an agent to contribute code back to our underlying platform. \n • \n Clear communication across technical and non-technical audiences - you can explain what you found and why it matters. \n • \n High agency and a strong product sense, with a bias toward building things that last rather than one-off fixes. \n • \n AI First problem solving, deeply experienced with AI tools to drive fast solution creation, able to balance model usage to maximise ROI, everything from coding to design and more. \n • \n Bonus: Familiarity with complex market place businesses. Experience as an early-stage startup engineer or in a previous FDE style role. None of these is a dealbreaker - we're more interested in how you think than what you've already shipped. \n\n At JET, this is how we play \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. \n At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. \n Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n What else is cooking? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. \n Are you ready to take your seat? Apply now! \n #LI-CA1

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n What you’ll do \n\n • \n Act as a primary point of accountability for customer trust enablement, including participation in customer meetings, security reviews and AI governance. \n • \n Contribute to AI Governance including building guardrails to align with AI regulations (EU AI Act, ISO 42001, NIST AI RMF and local EU laws). \n • \n Partner closely with Legal and Privacy to interpret regulatory requirements and support complex, security-sensitive contractual discussions, escalating risks and tradeoffs appropriately. \n • \n Collaborate with Engineering and Product to ensure expectations are reflected in system design and operational effectiveness. \n • \n Translate regulatory and privacy expectations into scalable, region-aware technical controls across model governance, agent security and safety, and data handling. \n • \n Own and evolve customer-facing trust materials and narratives related to AI, privacy, and security. \n • \n Represent Sierra in customer audits and formal assessments, clearly explaining security posture, governance decisions, and risk management approaches. \n • \n Support resilience and response expectations as part of broader governance, with an emphasis on learning and continuous improvement. \n • \n Continuously improve trust by identifying opportunities to streamline workflows, increase automation, and improve signal quality, while maintaining a high bar for accuracy and quality. \n\n Who you’ll work with \n You will act as a strategic partner to Platform, Security, Product, Agent Development, Legal, and GTM, ensuring security and compliance requirements are embedded into architecture decisions, product roadmaps, and go to market execution while supporting product velocity and technical complexity. \n What you’ll bring \n\n • \n 8+ years of experience in security compliance, privacy, or regulatory roles in SaaS, fintech, or AI companies. \n • \n Deep experience with EU regulatory frameworks, including GDPR, DORA, EU AI Act and emerging AI regulations, paired with strong awareness of US and APAC regulatory norms. \n • \n Demonstrated ability to operate globally understanding where requirements must diverge and where alignment is possible. \n • \n Experience engaging directly with enterprise and regulated customers as a trusted representative of security, privacy, and compliance. \n • \n Ability to translate abstract or evolving regulatory requirements into defensible, real-world practices. \n • \n Comfort operating in ambiguity, making reasoned judgment calls, and clearly articulating rationale and tradeoffs. \n • \n Strong written and verbal communication skills, including close collaboration with Legal and external stakeholders. \n\n Even better... \n\n • \n Direct experience preparing for or operationalizing DORA, EU AI Act or ISO/IEC 42001. \n • \n Experience working in and/or supporting fintech or AI companies globally \n • \n Familiarity with AI governance frameworks such as NIST AI RMF or CSA AI controls. \n • \n Experience navigating cross-border data transfer, residency, and localization consideration in a multi-cloud environment. \n • \n Prior experience in customer-facing, sales-adjacent, or deal-support contexts. \n • \n Experience automating global security and compliance workflows. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. \n Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. \n For nearly 20 years, we’ve helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. \n Third Bridge is building its AI function from scratch — and you're the person who will define what it becomes. \n Reporting directly to our COO, you'll leada growing team of AI Solution Engineers across London and Mumbai, and build the governance, architecture, and prioritisation frameworks that will shape how AI is embedded across our entire organisation. \n What You'll Do \n You'll operate at the intersection of commercial strategy and hands-on technical delivery, working across every business unit and horizontal in the organisation: \n\n • Map and own the opportunity landscape: You'll work directly with business leads to identify and prioritise AI automation opportunities — deciding what the central team owns versus what local teams run themselves, and building a 12–24 month roadmap that balances impact, feasibility, and risk.\n, • Build the governance architecture: You'll design the systemic protocols, agent approval frameworks, and risk controls that allow Third Bridge to demonstrate positive control over AI technology as it scales — across hundreds of live agents, client-facing and internal.\n, • Lead and develop your team: Your AI Solution Engineers will look to you for direction, unblocking, and credibility. You'll earn that last one through your own technical chops — this is a role where you need to be able to do, not just direct.\n, • Drive adoption, not just delivery: Solutions that get built and thrown over the fence don't count. You'll sit with business stakeholders, ensure every deployment actually lands and gets used, and build the trust that makes future work possible.\n, • Build capability that outlasts the central team: Working with L&D, you'll upskill business units so they can build and iterate within your framework — reducing dependency on the central AI team over the next 12–18 months.\n\n What You'll Bring \n You bring a rare combination: the commercial judgment of a senior operator, the technical credibility of someone who has genuinely built with AI, and the leadership presence to establish a new function from scratch. \n\n • Operational or consulting depth with real AI delivery: Your experience in business operations, transformation, or management consulting have allowed you to directly deliver AI or automation programmes — not advising on them from a distance. \n, • Hands-on technical capability: You can build as well as strategise. Your experience with prompt engineering, AI agent design, and LLM capabilities means the engineers on your team will respect you — and our stakeholders will trust you.\n, • Governance and risk fluency: You've designed AI governance frameworks in regulated environments before. You understand that moving fast and maintaining control aren't mutually exclusive — and you know how to make that case to a Compliance team.\n, • Influence without authority: Your track record includes embedding technology solutions across organisations where you didn't have direct control. You get adoption through trust, not mandate.\n, • Comfort with genuine ambiguity: You've built structure where little existed. If you need certainty before you can move, this isn't the right environment — but if a blank sheet of paper is where you do your best work, it is.\n\n How will you be rewarded? \n We truly care about our people so in return for your work, you’ll get: \n\n • \n Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays \n • \n Learning: personal development allowance of £1000 per year \n • \n Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) \n • \n Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary \n • \n Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' \n • \n Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more \n • \n Social: optional social gatherings, daily breakfast and snacks, social events \n • \n ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) \n • \n Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events \n\n Why Join Us? \n\n • A genuinely founding brief: You're not inheriting someone else's playbook. You'll write the one that everyone at Third Bridge follows for the next decade — defining what the AI function looks like, how it's structured, and what it stands for.\n, • Direct line to the top: You report to the COO and will have executive visibility from day one. Your work will be front and centre! \n, • Build your own team: You'll recruit and shape your AI Solution Engineers, set the standard for technical quality, and define the culture of the function.\n, • A business that's already bought in: Third Bridge already has enthusiastic AI adopters across the organisation — you're not convincing sceptics. The foundation is there; you're the architect.\n, • Scope that evolves with you: As capability embeds across business units, the role grows — the best outcome is a distributed model you designed, which opens the door to broader Group-level technology and transformation leadership.\n\n Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. \n We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.

hackajob is collaborating with Board Intelligence to connect them with exceptional professionals for this role. \n Board Intelligence is a technology and advisory firm on a mission to make boards more effective, and through them, build better businesses and benefit society. \n Over twenty years we have established ourselves as the market leader in governance and board effectiveness, trusted by more than 80,000 directors, executives, and governance professionals globally, including across the Fortune 500, FTSE 100, and OMX 30. That trust has been earned through depth of insight, rigorous advisory work, and a track record that newer entrants simply cannot replicate. \n We have invested in applied AI since 2020, well ahead of the market, and that early conviction has paid off. Our AI-powered platform and smart board advisor give us a competitive advantage that is widening, not narrowing. In 2024, K1 Investment Management, the leading B2B Enterprise SaaS investor, backed us to accelerate that position further. We are now growing fast, with a proven commercial model spanning both mid-market and enterprise, and a product suite that has become a necessary addition in high-stakes board environments. \n The people joining us now will shape how we scale. We are deliberate about how we do that. Our founders and leadership team are deeply invested in keeping the culture that got us here: thoughtful, high calibre, and genuinely human. Ambition and balance are not in competition at Board Intelligence. \n If you want to work at the intersection of AI and governance, on problems that matter at the highest level, this is a strong place to be. \n Our Mission \n We unleash the potential of organisations through the science of board effectiveness, building better businesses and benefitting society. \n \n The Role \n Board Intelligence is scaling fast as a B2B SaaS business, and our Product Design function is well established, with clear ways of working already in place. We are looking for a Senior Product Designer to play a critical role in design delivery across our platform, owning significant design workstreams end to end, from an ambiguous brief through to a shipped feature. \n You will work closely with Product Management and Engineering to ship features used by governance leaders at some of the world's largest organisations. And because product design is changing fast, you will help set the standard for how our team uses AI, both in the experiences we design and in how we design them. \n Main Responsibilities \n\n • Own significant product design workstreams end to end, from discovery through to shipped feature; comfortable taking an ambiguous brief and defining your own approach.\n, • Lead problem definition using first principles thinking. Get the team aligned on the problem and the outcome before proposing solutions, and stay outcome focused rather than output focused.\n, • Turn research into clear design direction; defining personas, mapping journeys, and forming and testing hypotheses.\n, • Produce distinctive, polished work across web and mobile; wireframes, prototypes, and high fidelity UI, and raise the quality bar in critique.\n, • Build working, high fidelity prototypes, including in front end code or with AI coding tools, to test ideas and get them in front of users faster.\n, • Design the experience of AI powered and agentic features: how AI generated content, agent actions, recommendations, and automation are surfaced, explained, and made trustworthy for users.\n, • Help build and improve our design system: creating and documenting components, and partnering with the designers who own the system to get them implemented and adopted consistently.\n, • Set up and run user testing, and use what you learn to iterate.\n, • Share your expertise generously: bringing peers with you, educating non design colleagues across the business, and playing an active part in building a world class design team. (This role has no line management responsibility.)\n, • Make conscious design trade offs informed by commercial context, and communicate design decisions clearly to non design audiences across the business.\n\n How we work with AI \n\n • Product design is changing fast, and we want someone who is already part of that change, not waiting for it to settle. AI fluency is a core requirement for this role, not a nice to have.\n, • You already integrate AI tools confidently into your day to day design work, for example Claude, Figma AI, prompt based prototyping, and AI assisted research synthesis, to move faster and raise the quality of your output.\n, • You have a clear point of view on when AI helps and when it doesn't. You ask hard questions about where AI should and shouldn't be applied, and you protect craft, originality, and user trust rather than trading them away for speed.\n, • You share what you learn, raising the whole team's capability with new tools and workflows.\n, • You are energised by a role in flux. As tools and expectations change, you adapt your ways of working rather than defending the old ones.\n\n What we're looking for \n\n • An experienced Senior Product Designer with a track record of owning design delivery end to end across B2B SaaS products.\n, • Comfortable with ambiguity, you can take a loosely defined brief and shape it into clear, testable design direction.\n, • Exceptional craft: strong UX fundamentals combined with high quality visual design, and the judgment to know what 'good' looks like.\n, • A confident communicator who can present to stakeholders, defend design decisions, and bring non design audiences with you.\n, • Commercially aware, you connect design choices to business outcomes and can speak the language of the business.\n, • Generous with your expertise, you bring peers along, help non design colleagues understand design, and contribute to a culture of honest feedback, without needing formal management responsibility.\n\n Required experience and skills \n\n • Proven experience as a Product Designer in a scaling B2B SaaS environment.\n, • A strong portfolio showing ownership of the full product design process, including at least one AI powered or agentic feature.\n, • Demonstrable, hands on use of AI in your design workflow, able to show us how you've changed the way you work (for example with Claude, Figma AI, or similar).\n, • Demonstrable ability to prototype in front end code (HTML / CSS / JS), or using AI coding tools, to build and test working prototypes, be ready to show us examples of what you've built.\n, • Highly skilled in Figma.\n, • Strong UX fundamentals alongside high quality visual design.\n, • Experience running user research and testing, and translating findings into design changes.\n, • Excellent communication and presentation skills, with the ability to make a clear case for design decisions.\n\n Nice to have \n\n • Experience designing for regulated, governance, or enterprise contexts.\n, • Experience contributing to design system governance at scale.\n\n What good looks like in this role \n\n • Your design work ships reliably and measurably improves how users complete key tasks on the platform.\n, • AI powered features you design are understood and trusted by users, they know what the AI is doing and why.\n, • The design system is healthier for your involvement, reducing rework and inconsistency across the platform.\n, • The team's AI capability is higher because of what you've shared, decisions get made faster and better, not just faster.\n, • Peers and colleagues across the business seek out your input, and your knowledge sharing raises the quality of their work.\n, • Stakeholders across the business understand and buy into design decisions before build starts.\n\n Our Values \n Our values aren’t just words on a wall. They capture our culture, and the behaviours we see and strive for every day. \n\n • Kindness & caring — We celebrate brilliance that comes without big egos or sharp elbows, and we win while raising each other up.\n, • Curiosity & innovation — Entrepreneurship is in our blood. We’re inquisitive, challenge convention, think big, and move fast.\n, • Remarkable quality & service — We take joy from delighting our clients and pride ourselves on ensuring every interaction is exceptional.\n\n Benefits \n We pride ourselves on our great working environment and package. Here's some of what's on offer: \n\n • Pension scheme\n, • Personal performance bonus\n, • 26 days holiday each calendar year\n, • Bupa health & dental cover\n, • Group life assurance\n, • EAP\n, • Cycle to work scheme\n\n Diversity, equity and inclusion \n Board Intelligence is committed to building a team that reflects the breadth of experience, background and perspective needed to do this work well. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of age, disability, ethnicity, gender, religion, sexual orientation or any other protected characteristic. \n \n If you need any reasonable adjustments at any stage of the process, please let us know and we will accommodate them. \n We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n\n • \n Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. \n • \n Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: \n \n • \n Discover and assess their requirements. \n • \n Prepare and present demonstrations of Sierra’s agent. \n • \n Address and overcome technical challenges in the business process by working with technical counterparts. \n • \n Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. \n • \n Become trusted advisors and drive strategic technical strategies for our customers. \n \n • \n Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. \n\n What you’ll bring \n\n • \n 5-7+ years experience in product development of highly technical products. \n • \n Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. \n • \n Experience crafting and tailoring a message for potential customers, including executives. \n • \n Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. \n\n\n • \n Degree in a technical or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience with product development for AI agents a plus). \n • \n Some coding experience with React, Typescript, and Go. \n • \n MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). \n • \n Past roles that interface with end customers to influence software development. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n\n • \n Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. \n • \n Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: \n \n • \n Discover and assess their requirements. \n • \n Prepare and present demonstrations of Sierra’s agent. \n • \n Address and overcome technical challenges in the business process by working with technical counterparts. \n • \n Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. \n • \n Become trusted advisors and drive strategic technical strategies for our customers. \n \n • \n Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. \n\n What you’ll bring \n\n • \n 5-7+ years experience in product development of highly technical products. \n • \n Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. \n • \n Experience crafting and tailoring a message for potential customers, including executives. \n • \n Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. \n • \n Professional fluency in both French and English. \n\n\n • \n Degree in a technical or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience with product development for AI agents a plus). \n • \n Some coding experience with React, Typescript, and Go. \n • \n MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). \n • \n Past roles that interface with end customers to influence software development. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n\n • \n Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. \n • \n Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: \n \n • \n Discover and assess their requirements. \n • \n Prepare and present demonstrations of Sierra’s agent. \n • \n Address and overcome technical challenges in the business process by working with technical counterparts. \n • \n Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. \n • \n Become trusted advisors and drive strategic technical strategies for our customers. \n \n • \n Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. \n\n What you’ll bring \n\n • \n 5-7+ years experience in product development of highly technical products. \n • \n Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. \n • \n Experience crafting and tailoring a message for potential customers, including executives. \n • \n Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. \n\n\n • \n Degree in a technical or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience with product development for AI agents a plus). \n • \n Some coding experience with React, Typescript, and Go. \n • \n MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). \n • \n Past roles that interface with end customers to influence software development. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you’ll do \n\n • \n Lead the design and delivery of production-grade AI agents: You’ll manage and grow a team of engineers building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact. \n • \n Own the Agent Development Life Cycle (ADLC): You’ll guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments. \n • \n Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Europe, embedding AI agents across their entire business stack to drive innovation and efficiency. \n • \n Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritise initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product. \n\n What you'll bring \n\n • \n Experience leading engineering teams that build and scale end-to-end production systems \n • \n Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments \n • \n A leadership style that blends high standards with empathy, fostering both speed and quality \n • \n Proven ability to work closely with customers and translate business needs into technical deliverables \n • \n Excellent communication skills across technical and non-technical audiences \n • \n Degree in Computer Science or related field, or equivalent professional experience. \n\n Even better... \n\n • \n AI-related experience (experience developing AI agents a plus). \n • \n Experience building or deploying AI/LLM systems in production \n • \n Background as a founder, engineering lead, or startup builder with high ownership and urgency \n • \n Familiarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering \n • \n Prior experience with React, TypeScript, and/or Go \n • \n Experience interfacing with customers or leading technical projects with external stakeholders \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Data Scientist III \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to the employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results \n . \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Hungry for a challenge? \n \n That’s good, because at Just Eat Takeaway.com (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. \n \n Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers. \n \n The opportunity: \n \n A Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting-edge AI-powered solutions that drive business value across the organisation. \n \n The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production-grade deployments. \n \n These are some of the key ingredients to the role: \n\n • Design, develop, and deploy high-quality, scalable software solutions, focusing on AI-enabled applications and infrastructure.\n, • Lead and participate in technical projects and deployments of AI systems.\n, • Provide guidance and mentoring to other team members on best practices in AI engineering.\n, • Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI.\n, • Optimise existing model serving and data pipelines to meet changing performance and security requirements.\n, • Hold requirements gathering sessions with business stakeholders and data science teams.\n, • Lead functional projects or work streams focused on AI infrastructure and tooling.\n\n \n What will you bring to the table? \n\n • Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery).\n, • Strong experience in Python and fluency in another language.\n, • Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework).\n, • Enjoy automating processes.\n, • Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE).\n, • A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role.\n, • Proven track record of delivering high-quality work and driving forward best practices in software engineering.\n, • Stays up to date with new technology in the AI space.\n\n \n Nice to have: \n\n • Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI.\n, • Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph.\n, • Experience with Agent-to-Agent (A2A) communication or coordination patterns in AI systems.\n, • Hands-on experience leveraging AI-powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation.\n, • Knowledge of or experience with MCP to integrate LLMs with external data sources and tools\n\n \n \n At JET, this is on the menu: \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. \n \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n \n What else is cooking? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. \n \n Are you ready to take your seat? Apply now!

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers\n, • Hands-on experience building, training, and evaluating machine learning and deep learning models, including modern architectures such as transformers, with the ability to assess where advanced approaches outperform classical methods and where they do not\n, • Strong programming skills in Python, with practical experience deploying machine learning models and services into production environments\n, • Practical experience using AI coding assistants and agentic developer tools such as Claude Code and OpenAI Codex to accelerate development, testing, and code review, with familiarity across the software development lifecycle and machine learning operations practices\n, • Strong working knowledge of large language models (LLMs), including prompting, fine-tuning, retrieval-augmented generation (RAG), and evaluation techniques, and the ability to apply them to real product challenges\n, • Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflows\n, • Ability to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoring\n, • Ability to explain, present, and demonstrate complex modeling work clearly to senior leaders, cross-functional partners, and non-technical stakeholders\n, • Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products\n, • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.\n\n Education \n\n • Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required\n\n Responsibilities \n Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. \n\n • Lead the end-to-end design, development, and deployment of machine learning, AI, and GenAI solutions that enhance existing products and enable new client-facing capabilities\n, • Partner with product, engineering, and business stakeholders across the Corporate and Governments business to translate client needs and market opportunities into well-scoped data science initiatives\n, • Own model selection, experimentation, and validation end-to-end, ensuring solutions are accurate, scalable, compliant with applicable regulations and legal frameworks, and production-ready\n, • Identify opportunities for automation and model-based enhancement, applying machine learning and deep learning methods to improve accuracy, efficiency, and overall performance\n, • Foster best practices in coding, experimentation, machine learning operations, and software engineering excellence\n, • Drive responsible AI practices across the team, including risk management, model governance, and the ethical use of AI and machine learning techniques\n, • Communicate technical work clearly and concisely, ensuring insights, limitations, and implications are understood by a broad range of stakeholders, including senior leaders\n\n About the Team \n Our Data Science, Machine Learning & Engineering (DSMLE) team, part of the broader Corporate and Governments (C&G) Data Team, is responsible for designing, building, and enhancing products through AI, machine learning, and generative AI solutions that deliver innovation and value to clients. By joining the team, you will work at the forefront of applied AI and GenAI, translating advanced techniques into client-facing products, collaborating with a global cross-functional data organization, and helping shape a growing practice focused on the responsible, ethical, and impactful use of artificial intelligence. \n #LI-Hybrid \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. \n It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 8 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. \n Description \n Role Profile: AWS Connect Developer \n Duration: 12 Months+ \n Who We Are: \n AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. \n We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritized by a regional team close to them. \n This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,500 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. \n Join us - and help us fulfil our mission to close the world’s digital skills gap. \n Role Overview \n We are seeking an experienced AWS Connect Developer to design, develop, configure, integrate, and support solutions built on Amazon Connect. The role requires strong hands-on experience across contact-centre functionality, customer journeys, Cases, Tasks, Contact Flows, routing, integrations, APIs, and AWS services. \n The successful candidate will be comfortable translating business and customer-service requirements into scalable Amazon Connect solutions and working across development, testing, deployment, and production support. \n Core AWS Connect Experience \n The candidate should have strong practical experience with: \n\n • Amazon Connect architecture, configuration, and administration.\n, • Contact Flows and modular/reusable flow design.\n, • Queues, routing profiles, agents, users, security profiles, and hours of operation.\n, • Contact Centre voice and telephony configuration.\n, • IVR and self-service customer journeys.\n, • Inbound and outbound contact handling.\n, • Customer Profiles and customer data integration.\n, • Contact Trace Records (CTRs) and contact history.\n, • Call recording, monitoring, quality management, and reporting.\n, • Contact Lens and conversational analytics where required.\n, • Prompts, audio, text-to-speech, and speech recognition.\n, • Lambda integrations within Contact Flows.\n, • Amazon Connect APIs and SDKs.\n, • Event-driven integrations using AWS services.\n, • Troubleshooting and performance optimisation of Connect solutions.\n\n Amazon Connect Cases \n Hands-on experience with Amazon Connect Cases is required or strongly preferred. \n The developer should be able to: \n\n • Design case-management journeys around customer interactions.\n, • Configure case templates, fields, statuses, and workflows.\n, • Understand the relationship between contacts, customers, and cases.\n, • Create and update cases through Amazon Connect functionality and APIs.\n, • Integrate Cases with external CRM, case-management, or customer-service platforms.\n, • Design Contact Flows that create, retrieve, update, or associate cases where appropriate.\n, • Support agent workflows involving multiple contacts against a single customer case.\n, • Implement appropriate permissions and access controls for case information.\n, • Troubleshoot case creation, retrieval, and integration issues.\n, • Consider reporting, auditability, and operational requirements when designing case solutions.\n\n Amazon Connect Tasks \n Experience with Amazon Connect Tasks should form part of the role. \n Responsibilities may include: \n\n • Designing task-based agent workflows.\n, • Configuring task routing and queues.\n, • Creating follow-up tasks from customer interactions.\n, • Using Tasks for asynchronous customer-service activities.\n, • Integrating Tasks with Lambda, APIs, CRM platforms, and other AWS services.\n, • Designing workflows where a voice/contact interaction creates subsequent agent work.\n, • Managing task priorities, expiry, routing, and agent assignment.\n, • Troubleshooting task-routing and workflow issues.\n, • Using Tasks alongside Cases to create an end-to-end customer-service journey.\n\n Contact Flows and Customer Journeys \n The developer should be highly proficient in Contact Flow development, including: \n\n • Inbound call flows.\n, • Customer authentication.\n, • IVR menus.\n, • Queue and routing logic.\n, • Customer identification and lookup.\n, • Case lookup and creation.\n, • Task creation.\n, • Agent transfer and escalation.\n, • Callback functionality.\n, • Error handling and fallback journeys.\n, • Business-hours and holiday handling.\n, • Customer data collection.\n, • Lambda/API integration.\n, • Dynamic prompts and attributes.\n, • Secure handling of customer information.\n, • Reusable flow modules and maintainable flow architecture.\n\n Testing and Deployment \n The developer will be expected to: \n\n • Produce technical designs and implementation documentation.\n, • Develop solutions in controlled environments.\n, • Create unit and integration tests.\n, • Test Contact Flows and integrations end-to-end.\n, • Support UAT.\n, • Investigate and resolve defects.\n, • Deploy changes through appropriate CI/CD processes.\n, • Maintain version control and release documentation.\n, • Support production releases and rollback procedures.\n\n Essential Experience \n\n • 3+ years of software development/integration experience.\n, • Strong hands-on Amazon Connect development experience.\n, • Strong Contact Flow experience.\n, • Experience with AWS Lambda and AWS APIs.\n, • Experience with REST/API integrations.\n, • Experience with Amazon Connect Cases.\n, • Experience with Amazon Connect Tasks.\n, • Experience integrating Amazon Connect with external systems.\n, • Experience troubleshooting production contact-centre environments.\n, • Understanding of AWS IAM, security, logging, and monitoring.\n, • Experience with Git and modern development practices.\n\n Equal Opportunities Statement: \n At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. \n We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team. \n AI Statement \n We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. \n As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. \n While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job Responsibilities \n\n • Design and develop scalable, self-service solutions for documentation, SDKs, configurations and pipelines to enable rapid deployment of GenAI applications (including Retrieval-Augmented Generation (RAG) pipelines) and agents with planning, memory, and workflow orchestration \n, • Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management \n, • Develop systems to monitor model performance and address data and model drift\n, • Recommend best practices for model integration and deployment patterns\n, • Design and implement effective testing strategies, including unit, component, integration, end-to-end, performance, and champion/challenger tests, establish output validation best practices, recommendations and guardrails to reduce hallucinations.\n, • Ensure platform compliance with data privacy, security, and regulatory standards\n, • Mentor team members on platform design principles and best practices \n, • Guide colleagues on coding practices, design principles, and implementation patterns for high-quality, maintainable solutions\n, • Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performance.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops to continuously improve reliability and utility.\n\n Required qualifications, capabilities and skills: \n\n • Demonstrate proficiency in Java and/or Python programming languages \n, • Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain \n, • Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications \n, • Previous experience deploying and managing LLM-model based applications and agents\n, • Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets\n, • Exposure to cloud-native microservices architecture\n, • Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP)\n, • Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK).\n, • Strong communication skills for both technical and non-technical audiences.\n\n Preferred qualifications, capabilities and skills: \n\n • Experience working in highly regulated environments or industries\n, • Experience with distributed computing, data sharding, and performance optimization.\n, • Demonstrated experience in financial services, particularly retail banking operations.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. \n As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. \n Job Responsibilities \n\n • Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges\n, • Write secure, high-quality production code and maintain algorithms that integrate with existing systems\n, • Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery\n, • Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks\n, • Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock\n, • Identify hidden problems and patterns in data proactively to improve coding standards and system architecture\n, • Participate in software engineering communities of practice and events focused on emerging technologies\n\n Required Qualifications, Capabilities, and Skills \n\n • Computer science degree or equivalent practical experience\n, • Hands-on experience with system design, application development, testing, and operational stability\n, • Proficiency in Python (FastAPI)\n, • Experience building microservices and APIs\n, • Experience with elastic compute, NoSQL databases, and messaging queues\n, • Strong understanding of the Software Development Life Cycle\n, • Solid grasp of CI/CD, application resiliency, and security\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock\n, • Proficiency working with large language models and building agents with LangGraph\n, • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages\n, • Experience with containerization\n, • Knowledge of agent-to-agent (A2A) communication concepts\n, • Familiarity with Model Context Protocol (MCP)\n, • Experience with agentic orchestrators, personal AI assistants, or AI skills development\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. \n Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. \n AI/ML Specialism \n You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: \n Agentic AI & LLM Engineering: \n\n • Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. \n\n\n, • Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. \n\n Machine Learning Engineering: \n\n • End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. \n, • Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). \n\n Software Engineering: \n\n • Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. \n\n\n, • Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, NoSQL, graph and caching strategies. \n\n\n, • Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. \n\n\n, • A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. \n \n\n Your Skills and Experience \n We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion. \n\n • 1-5 years in technology consulting, software engineering or AI/ML \n \n • SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering or Software Engineering – with strong architecture and design capability across cloud, data and AI domains. \n \n • Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility. \n\n\n, • Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). \n\n\n, • Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. \n

Who we areVOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.#VOIS #BeUnrivalled #CreateTheFutureAbout this RoleLocation: Newbury or Paddington (hybrid)We are seeking a Lead AI Software Engineer to lead software implementation and engineering delivery across squads, platform capabilities, or engineering domains. This is a senior hands-on role responsible for translating specifications, solution designs, and architectural direction into scalable, secure, production-ready software.You will combine deep software engineering expertise with strong judgement in the use of AI-native engineering practices, ensuring AI-generated code, tests, documentation, and engineering artefacts are accurate, maintainable, secure, and aligned to business requirements. Working closely with Technical Leads, Architects, Product Owners, Platform Engineers, and delivery teams, you will drive implementation quality, testing, observability, operational readiness, and continuous improvement throughout the software development lifecycle.What you will doLead build execution within a squad, platform capability, or engineering domain.Translate specifications, designs, and architectural intent into clear implementation plans and verifiable engineering tasks.Decompose solution designs into small, sequenced, testable delivery increments.Guide engineers and AI coding agents through implementation, validation, and release activities.Deliver and oversee complex, high-risk, or business-critical software components.Review AI-generated and engineer-written code to ensure correctness, maintainability, security, and alignment with specifications.Drive engineering excellence through automated testing, contract testing, regression testing, observability, and production verification.Support CI/CD processes, deployment readiness, operational handover, runbooks, and service ownership.Ensure AI-generated outputs are explainable, traceable, secure, and compliant with engineering standards.Escalate architectural ambiguity, cross-domain risks, and decisions beyond agreed engineering guardrails.Identify recurring engineering or AI-agent delivery issues and transform them into improved controls, guidance, and quality practices.Coach engineers on AI-native software engineering, implementation planning, code review, testing practices, and responsible AI usage.Contribute to the evolution of AI-native Software Development Life Cycle practices, developer experience, automation, and engineering productivity.Who you areSignificant experience delivering production-grade software within complex engineering environments.Strong hands-on expertise in Java and Spring Boot, with experience in React or Angular.Proven experience designing and implementing RESTful APIs, microservices, integrations, platform services, and digital applications.Strong understanding of cloud-native architectures, distributed systems, containerised environments, and modern integration patterns.Experience building event-drivensolutions using technologies such as Kafka, RabbitMQ, or equivalent platforms.Demonstrated ability to lead software implementation within agile engineering teams or technical domains.Experience with CI/CD, continuous delivery practices, automated testing frameworks, observability, and production support.Ability to convert specifications, acceptance criteria, and architectural designs into actionable implementation plans and verified software.Strong code review and diff-review capability, including validation of AI-generated software outputs.Experience using AI-assisted engineering tools and effectively steering AI coding agents.Understanding of responsible AI practices, including validation, security, traceability, governance, and quality assurance.Excellent stakeholder engagement, coaching, collaboration, and communication skills.Strong focus on software quality, resilience, operational readiness, and continuous improvement.What’s in it for youOpportunity to shape and deliver next-generation digital and technology capabilities that support Vodafone’s future growth.Exposure to AI-native engineering practices and modern software delivery methodologies.Opportunity to work on cloud-native platforms, reusable services, APIs, integrations, and large-scale digital products.Collaboration with highly skilled engineers, architects, platform specialists, and product teams across global markets.Involvement in modern engineering disciplines including automation, continuous delivery, observability, and platform engineering.Ability to influence engineering standards, software quality, delivery practices, and operational excellence.What skills you will learnAdvanced AI-native engineering and AI-agent orchestration techniques.Large-scale cloud-native software architecture and distributed systems practices.Modern software delivery frameworks, automation strategies, and developer productivity improvements.Advanced observability, operational readiness, and production engineering capabilities.Enterprise-scale implementation planning, architecture alignment, and engineering governance.Coaching, mentoring, and technical leadership skills within multi-disciplinary engineering environments.VOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.Join UsAt Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.AlertApply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.” #JDEnhancedByTARAFollow us on social media and #StayConnectedLinkedIn: VOIS LinkedInFacebook: VOIS FacebookInstagram: VOIS Instagram

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.You Will:Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.Ideally, You Have:4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Title:Head of Feasibility and PlanningCompany:Ipsen Biopharm LtdAbout Ipsen:Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!For more information, visit us at and follow our latest news on LinkedInand Instagram.Job Description:Job Title: Head of Feasibility and Study PlanningDivision / Function: R&D – Clinical Development Operations (CDO)Ipsen Job Profile:Clinical trials Excellence / Clinical PartnershipsLocation:IPSEN Hubs – UK (London), France (Paris), USA (Cambridge, MA)WHAT - Summary & Purpose of the PositionTo lead and build Ipsen’s R&D global feasibility and study planning capability by establishing a predictive, data / insight driven, end-to-end planning model across the clinical development portfolio. The role is accountable for ensuring that all clinical studies are designed, assessed, and operationally planned with a high degree of rigor, leveraging data, analytics, insights from ISPEN/FSP staff using up-to-date ways of working e.g., AI-enabled to optimize timelines, cost, and probability of success.The Head of Feasibility and Study Planning will partner closely across IPSEN (e.g. Medical DDAAI) to ensure effective and integrated utilisation of Data, Analytics with Operational expertise and knowhow. The individual will oversee a hybrid team of internal and FSP resources to deliver robust feasibility assessments, data/insight driven site and patient strategies, and evidence-based activation, enrollment and operational forecasts, ensuring Ipsen consistently designs trials that are feasible, efficient, and aligned with patient and regulatory expectations.WHAT - Main Responsibilities & Technical CompetenciesLeadership & StrategyDefine and implement Ipsen’s global feasibility and study planning strategy, aligned to the broader R&D and CDO transformation agenda.Build and lead a high-performing hybrid team (internal + FSP) delivering scalable and repeatable planning execution throughout the lifecycle of the trial. Establish governance, standards, and audit-ready processes for feasibility and planning outputs. Partner closely with appropriate groups across IPSEN e.g. R&D/Medical IT: Digital, Data, Analytics & AI to influence and shape technical solutions that meet R&D business needs. Lead and establish a clear IPSEN Process, Ways of Working, Technology and resourcing to ensure high quality outputs delivered with urgency (speed) in a cost-effective manner.Based on IPSEN processes/ways of working ensure creation and ongoing optimization of a measurement framework i.e. performance of Site Activation / Enrolment plans vs. actuals; efficacy of overall feasibility outputs (e.g. customer satisfaction) etc.Be a focal point for end-to-end CDO/R&D operational planning; understanding the technology infrastructure and ensuring clear and efficient data flows translating into simple use of applicable systems for IPSEN staff. Coordinate and own IPSENs R&D Clinical Trial Footprint, in collaboration with the Global Head of Study, Site Management and Monitoring.Actively support feasibility for Medical Affairs studies where appropriate.End-to-End Study Planning AccountabilityOversee delivery of all planning components across the full lifecycle:Study design input and protocol optimization.Feasibility assessment (program, country, site, patient).Site and PI identification strategy.Enrollment and operational forecasting.Integrated operational plans.Ensure outputs from each step are integrated into a unified, data-driven operating plan for the Clinical Trial.Define and oversee adherence to global planning and feasibility methodologies, standards and governance to enable the end-to-end process collaborating with the TA Clin Ops Groups (e.g. Clinical Project Managers (CPMs), Clinical Project Directors, TA Heads etc.).Collaborate and establish tools to perform ongoing monitoring of the Clinical Trial performance; assessing and collaborating with study teams to remediate as needed. Have working knowledge of external tools and data sets that may support optimization of IPSENs feasibility processes.Share outcomes, through the appropriate pathways (e.g. CPM) to ensure alignment of outcomes (e.g. Site Activation and Enrolment Plans) with appropriate stakeholders e.g., Study/Asset Team.Feasibility & Evidence-Based Decision MakingLead development of quantitative feasibility dossiers balancing data-driven insights with expert insights from global and country study team representatives. Ensure feasibility assessments incorporate:Disease epidemiology and real-world data.Eligibility criteria modeling.Competitive landscape and enrollment risk analysis.Insights and context from IPSEN and Investigator staff.Differences in Medical Practice across countries.Drive the utilization and adoption statistical models (e.g. Monte Carlo Simulations) with scenario planning. Data, Analytics & AI Integration Surveille the external environment and drive the use of advanced analytics across planning activities, including:Cohort analytics and real-world data (RWD) insights.AI-driven site and patient intelligence.Predictive enrollment and simulation modeling.Partner with Data Science / Digital teams to operationalize AI-enabled planning tools.Study Design & Optimization SupportEnsure early integration of feasibility insights into protocol design.Drive optimization of inclusion/exclusion criteria, endpoint selection, and study complexity.Promote use of simulation and data-led decision making to reduce protocol amendments.Country, Site & PI StrategyOversee development of data/insight-driven country and site selection models based on:Patient availability, performance, and regulatory factors/timelines.Site capability and diversity considerations.Ensure robust PI identification strategies leveraging real-world evidence and historical performance data.Obtain up-to date insights on evolving landscapes to augment data (e.g. evolving Regulatory requirements, Site/Investigator performance etc.).Availability and access to approved Medical Treatments in the disease areas of interest.Enrollment & Operational ForecastingLead development of Site Activation and Enrollment forecasts using simulation models.Ensure incorporation of key risk drivers (screen failure, dropout, competition) into planning.Translate forecasts into operational strategies (site activation, monitoring, supply) in conjunction with CPM/CPD to support onward activities e.g. Asset Team review.Define the service and oversee of planning support to applicable roles e.g. CPM to ensure high quality maintenance of appliable IT systems e.g. OnePlan.Ensure simplistic data flow between applicable systems e.g. OnePlan, CTMS, Site Activation/Enrolment modeling tools. Partner to create applicable clinical trial monitoring tools e.g. Statistical Models / AI to predict likelihood of reaching LPI/other milestones to plan. Continuous Improvement & Knowledge ManagementBuild and maintain a centralized planning knowledge base, capturing lessons learned across trials.Ensure planning outputs are reusable and continuously improve future study design.Drive a “continuous planning loop” mindset across the organization; defining KPIs to measure effectiveness of the process. HOW - Behavioural Competencies RequiredCompetencyDescriptionCompetency Behavioural MarkersDrive Vision and Strategy Seeing ahead to future possibilities and translating them into breakthrough strategies.Painting a compelling picture of the vision and strategy that motivates others to action.Paints a compelling picture of the vision (future status quo) and strategy that motivates others to action.Business Insights Applying knowledge of business and themarketplace to advance the organization's goalsMakes decisions based on data, facts, and figures, and considers different perspectives and the patients' voice; Able to translate to objectives and setting the bar. Manage Complexity Making sense of complex, high quantity, andsometimes contradictory information toeffectively solve problems.Identifies contradictory information/demands/inputs to effectively solve problems; Develops and evaluates alternative scenario and solutions; Able to identify what truly matters and prioritize decisions with real impact. Collaborates Building partnerships and working collaboratively with others to meet shared objectives.Collaborates and communicates without boundaries, continuously removes organizational barriers; Focuses on continuous improvement and learning at scale. Excellence in execution Planning and prioritizing work to meet commitments aligned with organizational goals. Consistently achieving results, even under tough circumstances.Approaches priority setting through the lens of execution; Establishes clarity on goals, timelines and accountabilities; Performance-driven with clear KPIs; Plans and aligns effectively; Promotes best practice sharing; Promotes accountability. HOW - Knowledge & ExperienceKnowledge & Experience (essential):10-15 years experience in clinical trial feasibility, study design, and planning methodologies within global programs.8+ years of experience in defining global strategy and driving global transformation.Proven experience leading data-driven clinical operations transformation initiatives.Demonstrated experience collaborating with Country Operations teams of different sizes and operational models across all trial types. Demonstrated experience of people/project management experience, (e.g., leading project teams, operational teams, cross functional teams through operational change and transformation).Extensive experience in clinical development, clinical operations, quality, compliance, or related areas in the pharmaceutical or biotech industry.Demonstrated understanding of the clinical trial landscape and commitment to innovation, creativity, and operational excellence.Strong knowledge of:Real-world data and analytics applications in clinical development.Enrolment forecasting and simulation methodologies.Site selection and feasibility best practices.Process and metric creation and optimisation.Experience managing hybrid delivery models (internal + FSP/CRO partners).Demonstrated ability to operate at global, cross-functional leadership level.Proven influencer and change agent with superior project management capabilities. Project management excellence in planning, prioritisation, problem solving and organisational skills. Used to managing multiple priorities in a dynamic environment. Agile mind-set.Experience in managing internal stakeholders and used to communicating across all levels of the organization including up to ELT level.Strong understanding of clinical systems (eTMF, CTMS, QMS, etc.) and business process design.Effective leadership skills and proven ability to foster team productivity and cohesiveness in changing environment is required.Financial acumen is required.Knowledge & Experience (preferred):Experience in Site Management and Monitoring optimal. Experience implementing AI/ML-driven planning or feasibility tools.Background in oncology and/or rare disease clinical development.Experience with CTMS/data platforms and integrated data environments.Education / Certifications (essential):A minimum of a bachelor’s degree (University/college degree) in a scientific discipline or general management is required.Education / Certifications (preferred): Advanced degree (e.g., Masters, MBA, MD, PhD , Pharm D) is preferred.Language(s) (essential): EnglishLanguage(s) (preferred):N/AWe are committed to creating a workplace where everyone feels heard, valued, and supported; where we embrace “The Real Us”. The value we place on different perspectives and experiences drives our commitment to inclusion and equal opportunities. When we include diverse ways of thinking, we make more thoughtful decisions and discover more innovative solutions. Together we strive to better understand the communities we serve. This means we also want to help you perform at your best when applying for a role with us. If you require any adjustments or support during the application process, please let the recruitment team know. This information will be handled with care and will not affect the outcome of your application.SummaryLocation: London (UK); Paris; Cambridge One MainType: Full time

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.The TeamCelonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: initial value realization, adoption, and the long-term success of our customers.The RoleAs a Lead Deployment Architect, you are the technical authority for our strategic accounts within Celonis delivery. You shape how Celonis solutions are designed, architected, and delivered across your portfolio of strategic customer engagements. You define what good delivery looks like - setting architectural standards, designing end-to-end solution strategies, and ensuring that AI-augmented and agentic workflows are deployed effectively at scale.You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customer’s C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered - and often shaping the promise itself.This role carries significant organizational leverage. You set delivery patterns that other teams follow. You define how AI agents should be orchestrated for complex, multi-workstream engagements. You work in close collaboration with Deployment Engineers and raise the bar for the entire practice.The Work You’ll DoSolution Architecture & DesignSupport Services scoping in pre-sales, ensuring the right Services are positioned in line with the Celonis solution architecture proposedDesign end-to-end Celonis solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographiesDefine the technical blueprint for how the Celonis platform integrates with customer systems, data strategies, and transformation goalsDesigning secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency.Make architectural trade-off decisions: build vs. configure, custom vs. standard, phased vs. big-bang - with clear rationale tied to customer outcomesOwn solution quality & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow architectural standardsAI Orchestration & Delivery InnovationDesign how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gatesDevelop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectivelyPioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impracticalSet standards for AI output validation, ensuring the organization maintains quality as delivery acceleratesCustomer Strategy & AdvisoryServe as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholdersTranslate customer business challenges into Celonis platform strategies, identifying high-impact use cases and defining success metricsSupport pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scopeGuide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational changeLeverage the broader ecosystem of Celonis experts to remove potential blockers in customer engagementsEstablish deep, technical advisor relationships with customer stakeholders (Lead Data Engineers and Architects, Head of Data Intelligence, Head of Business Transformation) to provide technical reassurance and maintain "Expert-to-Expert" alignment during the course of the deployment Successful ImplementationWork together with Deployment Engineers on delivery projects to implement the most complex and cutting edge use cases for our customersStay on top of the newest technologies Celonis has to offer and own the implementation of early stage products for our customers, ensuring close feedback cycles with Product & EngineeringReview Solution(s) Blueprint to ensure quality, scalability and production readiness of business critical and operational use casesDomain & Industry DepthDevelop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticalsTranslate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverageProactively identify and standardize high-value use cases within your domain in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmapPractice DevelopmentContribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessmentsShare knowledge across the organization through internal enablement sessions, documentation, and community of practice leadershipEnsure the link with Product & Engineering to feed customer insights and field experience back into platform development, and to influence the platform roadmapWhat Distinguishes This Role from Deployment EngineerScope: You work across multiple engagements and shape solutions across a portfolio/cluster/industry vertical (4+ concurrent clients)Influence & Practice Development: your Scope allows you to identify and set standards that other teams follow - for solution architecture, AI orchestration patterns, and delivery qualityBridge: You span pre-sales and post-sales, ensuring continuity between what’s sold and what’s deliveredForce multiplier: Your work multiplies the effectiveness of Deployment Engineers rather than substituting for itThe Qualifications You NeedExperience: 8+ years in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators. At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations (e.g. digital twin implementations, global AI transformations, near-real-time data pipelines, etc.) Architecture skills: Proven ability to design complex, multi-component solutions that span data integration, process intelligence, automation, and AI, while remaining grounded in the “so-what” of a customer’s process. Deep understanding of enterprise architecture patterns and trade-offs.Platform mastery: Expert-level knowledge of the Celonis platform, including the Process Intelligence Graph, data modeling, advanced PQL, automation and orchestration engine, and AI modules. Ability to push the platform’s boundaries via a working knowledge of Python.AI & agent orchestration: Demonstrated ability to design AI-augmented delivery workflows leveraging frontier tooling (e.g., Claude Code, Codex, Cursor, etc.). Experience with context engineering, multi-agent system design, or AI validation at scale. Ability to define how AI should be used, not just use it.Domain expertise: Deep knowledge in at least one major process domain or industry vertical. Ability to translate domain expertise into scalable solution patterns and credible customer advisory.Customer executive presence: Track record of building trusted advisor relationships with VP and C-level stakeholders. Ability to present transformation strategies, defend architectural decisions, and navigate complex organizational dynamics. Demonstrated experience navigating complex IT landscapes and communicating technical trade-offs to senior leadership.Consulting & communication: Exceptional ability to translate between technical and business audiences. Experience leading workshops, design sessions, and strategic reviews with senior stakeholders.Leadership & mentoring: Demonstrated ability to raise the performance of teams around you. Experience mentoring technical staff, setting quality standards, and contributing to organizational capability development.Education: Bachelor’s or Master’s in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field.Languages: Fluency in English required. Additional languages are a plus.What Celonis can offer you:Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.About Us:Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.Get familiar with the Celonis Process Intelligence Platform by watching this video.Celonis Inclusion Statement:At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.Your Privacy:Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate NoticesBy submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.What's the opportunity?We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.We’re particularly interested in engineers who have:A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.What will I be doing?As a Senior AI Infrastructure Engineer focused on model training and inference, you will:Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.Play an active role in hiring, mentoring, and developing other engineers on the team.Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform.Profile we’re looking for:These are indicative, not hard requirementsWe’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).You have hands‑on experience with one or more of the following:Model training (especially transformers and LLMs).Model inference at scale (again, especially transformers and LLMs).Low‑level GPU work, such as writing CUDA or Triton kernels.Comfortable working in production environments at meaningful scale (traffic, data, or organizational).You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.Bonus skills & attributesNone of these are required, but they’re nice to have:Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).Experience running training or inference workloads on Kubernetes.Experience with AWS or other major cloud providers.Production experience with Python in ML or infrastructure contexts.Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learningsBenefitsWe are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-upWe serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenRegular compensation reviews - we reward great work!Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.Pension scheme & match up to 4%Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependentsFlexible paid time off policyPaid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved onesIf you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed.#LI-HybridPolicies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

About RicohA global leader in digital services, recognised for innovation, sustainability and a people-first culture. We feature in the Gartner Magic Quadrant, are listed in the Global 100 Most Sustainable Companies, and have been named one of Forbes’ World’s Best Employers 2025. At Ricoh, we believe people do their best work when they feel valued and supported. We create inclusive workplaces where you can grow, contribute, and make a positive impact while helping to build a more sustainable future.Find your place. Transform your futureOur purpose is centred on understanding and improving how people work. By focusing on real working experiences, we support individuals to develop their skills, realise their potential and do work that feels meaningful.People transform when they Love What They DoThis belief sits at the heart of The Ricoh Promise. It guides how we recruit, how we support our people, and how we work together every day, creating an environment where you can grow, feel valued and make a difference.When you join us, you are encouraged to share your ideas, challenge the way things are done, and work with others to build something better. If you are looking for a place where your voice is heard, your development is supported, and your work feels meaningful, you will feel at home at Ricoh.#Ricoh-EuropeWhat you will be doingWe’re evolving the way technology supports our people, customers and business. As automation and AI continue to reshape the workplace, we’re looking for an experienced IT Automation & AI Platform Lead to help us build the governance, strategy and operating model that will enable these technologies to scale safely and effectively across our organisation.This is a strategic role for someone who understands that successful automation and AI isn’t just about technology, it’s about creating the right platforms, controls, processes and partnerships to turn ideas into sustainable business value.You’ll take ownership of the strategy, governance and ongoing development of our enterprise automation and AI capabilities, working across IT, security, architecture and business teams.You’ll:Define and evolve the strategy, service boundaries, lifecycle standards and operating model for enterprise automation and AI platforms.Lead the governance of technologies including Microsoft Power Platform, Power Automate, Power Automate Desktop, Copilot Studio, Microsoft Copilot and RPA.Establish effective controls around environment strategy, DLP, risk management, auditability, resilience, support and compliance.Shape and prioritise the automation and AI demand portfolio, balancing business value, risk and strategic priorities.Help determine which solutions are appropriate for citizen development, IT-supported delivery or enterprise-led implementation.Translate business challenges into practical automation, workflow and AI solutions.Work closely with Security, Architecture, Audit and business stakeholders to enable innovation without compromising control.Develop reusable solution patterns, standards, templates and starter kits that make safe self-service adoption easier.Support the operationalisation of Copilot and AI-enabled workflows across Microsoft 365 and business processes.Lead platform roadmaps, lifecycle management, migration and the decommissioning of legacy automation solutions.Work within an Agile/DevOps environment to deliver continuous improvement and change.Lead cross-functional teams and external suppliers to deliver platform and service improvements.Help measure the value and impact of automation and digital workflow transformation across the business.You will ideally haveWe’re looking for someone with significant IT experience and a strong background in automation, platform management, business applications or digital workflow transformation.You’ll ideally have:Strong knowledge of enterprise automation and low-code platforms, particularly Microsoft Power Platform, Power Automate, Power Automate Desktop, Copilot Studio and RPA.Experience owning or managing enterprise platforms, services or technology portfolios across governance, support, change and roadmap delivery.Experience establishing platform governance, operating models and service standards at scale.A strong understanding of risk, DLP, compliance, auditability, resilience and platform controls.Experience prioritising technology demand and managing a portfolio based on value, risk and strategic alignment.Excellent stakeholder management skills, with the ability to communicate complex technology concepts to both technical and non-technical audiences.Experience working across business, IT, Security, Architecture, Audit and external suppliers.Experience delivering technology change through Agile/DevOps ways of working.Strong service leadership and change management capability.It would be great if you also have:Experience operationalising Microsoft Copilot and AI-enabled workflows.Knowledge of agent orchestration and reusable automation/AI solution patterns.Experience creating templates, starter kits or frameworks to enable safe self-service adoption.Knowledge of process improvement, service design, Lean thinking and value measurement.Experience working across multiple countries, business units or operating companies.Experience with application lifecycle management, platform migration and legacy solution decommissioning.A Bachelor's degree in IT, Computer Science, Business Information Systems or a related discipline, although relevant experience is more important than having a degree.A second European language would be advantageous.In return for your commitment, you can expectAt Ricoh, work should feel meaningful, supportive and fulfilling. The Ricoh Promise shapes your experience through four pillars that bring our culture to life.Love to ConnectYou become part of a global community built on openness, inclusion and genuine collaboration.Across teams, countries and roles, you'll find people who listen, involve and encourage you - helping you feel valued and able to be yourself every day.Love to GrowYour development truly matters to us. With access to learning pathways, mentoring and career opportunities across functions and countries, you'll be supported to stretch your skills, explore new directions and stay future-ready in a changing world.Love to Give BackPurpose is part of how we work. You'll have opportunities to make a difference through volunteering, sustainability initiatives and community programmes that reflect our shared values and commitment to positive impact.Love to SucceedSuccess at Ricoh is something we pursue together. You'll benefit from fair rewards, flexible working, wellbeing resources and real recognition - including programmes such as the Imagine. Change. Awards, where colleagues celebrate each other's achievements.We are an equal opportunities employerWe believe that diverse perspectives make us stronger, and we welcome applications from people of all backgrounds, identities, and experiences. Our hiring decisions are based on skills, experience and potential, and we are committed to creating a fair and inclusive recruitment process. If you require any reasonable adjustments at any stage of the recruitment journey, please let us know and we will support you to bring your best self forward. Ready to love what you do? Apply now and help us shape what comes next.Job SummaryJob number: RE02821Profession: Information TechnologyEmployment type: Full time

Join the AWS EMEA Telecom team as a Solutions Architect — You will work directly in customer non-production sandbox environments to create working prototypes, proof-of-concepts, and AI-driven solutions that prove AWS value faster than traditional advisory engagements, eliminating the traditional handoff between advisory and implementation.You will be the primary technical partner for major European telecommunications operators, leading with Agentic AI and AI-assisted software development as the primary value proposition while building directly alongside customer engineering teams.Key job responsibilitiesThis is a builder-first technical role that combines the strategic advisory expertise of a Solutions Architect with hands-on software engineering capabilities.Build working prototypes in customer non-production sandbox environments using AI-augmented development tools — delivering tangible, demonstrable value early in the engagementPair-program with customer teams, embedding directly with their engineers during time-boxed sprints to accelerate AI adoption and cloud-native developmentWrite high-quality sample code for proof-of-concepts, demos, and sample applications spanning generative AI architectures, agentic systems, and telco-specific workloads (operations support system modernization, network cloudification, contact centre AI)Design and deploy infrastructure using Infrastructure-as-Code (AWS CDK, Terraform, CloudFormation) in customer sandbox environments, demonstrating scalability and security patternsStrategic AdvisoryOwn the end-to-end technical relationship with Tier-1 European telco groups, acting as trusted advisor to technical decision makersShape AI and cloud strategy for major operators — translating complex technical capabilities into business-outcome narrativesLead architecture design for Agentic AI initiatives including multi-agent orchestration, foundation model integration, and enterprise AI platformsDrive AI-assisted software development lifecycle strategy, positioning AWS developer tools for software transformation at scale across large engineering organizationsRevenue and Opportunity AccelerationAccelerate deal cycles by removing technical blockers through hands-on building — measurably reducing opportunity cycle timeIdentify and launch new opportunities discovered during customer engagementsIncrease service adoption per customer through tangible demonstrations of multi-service integrationCustomer Development Engineer Operating PrinciplesDemonstrate value through building AND advisory — lead with building to show tangible valueAct as an extension of customers through hands-on co-development in their environmentsOutcome-focused — identify, develop, and realise business opportunities through tangible proof pointsSecurity first, speed second — but both are possible — AI-augmented development compresses timelines without compromising security or architectural integrityTechnical accuracy over short-term revenue — recommend the right solution for customer context, even if it results in lower immediate revenueScale innovation through reusable solutions — build once, share broadly via accelerators and reference architecturesAbout the teamThe EMEA Telecom Solutions Architecture team covers the largest telco operators across Europe. We sit within the AWS Global Telecom Industry Business Unit and drive technical outcomes across cloud transformation, AI adoption, network cloudification, and software modernisation. The team operates with a "forward-deployed competence" mindset — bringing deep technical expertise directly to where customers need it most.Basic qualifications- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military- Experience in IT development or implementation/consulting in the software or Internet industries- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).- Experience in design, implementation, or consulting in applications and infrastructures- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients- Experience leading in a customer-facing role in the technology industry or equivalent- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience with Unreal engine- Experience developing, deploying and managing AI products at scale- Experience leading engineering discussions around technology decisions and strategy related to a productPreferred qualification - Experience working with end user or developer communities- Knowledge of technology principles and services including infrastructure, business applications, data management, security, application platforms, and consumer-facing technology- Experience working with or evaluating AI systems- Experience with evaluating and integrating open source and in house developed toolsets- AWS Solutions Architect Certification- Experience with embedded softwareAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company DescriptionWe Elevate. Digitally. SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise. With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking. Job DescriptionThe Senior AI Consultant supports clients in modernising their organisations through AI by conducting in-depth analyses of complex needs and proposing strategic solutions grounded in benchmarks, evidence, and operational reality. Drawing on AI expertise and consulting experience, you enrich recommendations, challenge stakeholders to think harder about the problems worth solving, and guide teams through the change that AI adoption demands. You formalise high-quality deliverables, evaluate the medium- and long-term impact of what you recommend, and ensure clients are satisfied with both the journey and the outcome. This role is client-facing. In most AI engagements you will be the senior SQLI voice in the room, supported by architects and engineers from across the Data & AI service line and the wider SQLI group. You will work closely with the Service Line Manager on offer development and with solution architects on solution design. You will also help shape the practice itself. New accelerators, points of view, and reusable IP come out of the work you do with clients. We want someone who treats that as part of the job, not a side project. What you will do Conduct in-depth analysis of client needs and context, identify where AI delivers real value, and challenge stakeholders to develop solutions that address the actual problem rather than the surface symptom Design, formalise, and propose AI solutions based on benchmarks, evidence, and feedback, with a credible path from business objective to measurable outcome Advise clients on strategic and operational decision-making, assessing the medium- and long-term impact of AI adoption on their organisation, operating model, and commercials Lead AI workshops, presentations, and pitches with senior client stakeholders, including non-technical audiences Support change management around AI adoption, lead working groups, ensure skills transfer to client teams, and promote buy-in across the organisations we work with Shape commercial proposals together with the Service Line Manager, contributing the technical and solution narrative across the full sales-to-delivery cycle Work with solution architects and engineering teams to validate technical feasibility and shape solution architectures at a level you can defend in client conversations Help shape new AI offers, accelerators, and reusable assets for the practice, and contribute to the internal promotion of SQLI’s AI capability Ensure quality of deliverables, meet deadlines, and maintain a close advisory relationship with clients beyond individual engagements QualificationsMust have Demonstrated experience advising enterprise clients on AI, with a portfolio of engagements you can speak to in depth Strong client focus, with the ability to understand business objectives, KPIs, and operational context, and plan strategies that connect AI capabilities to measurable outcomes Solid understanding of the full sales-to-delivery cycle in a consulting or agency setting Excellent communication skills, able to explain technical concepts to non-technical audiences and adapt the message to the room AI-first working style. You use AI tools (Claude in particular, also ChatGPT and others) daily to brainstorm, research, generate, and accelerate your own work, while staying in control and challenging the output when it is wrong Practical understanding of Claude Code, Cowork, plugins and skills, MCP connectors, and what an AI agent actually is and is not Technical background sufficient to discuss enterprise architecture, integrations, and data flows at a senior level, even if you are not the deepest technical voice in the room Working understanding of how AI delivers value in the enterprise and where it fails, across delivery acceleration, customer-facing applications, and agentic workflows Native-level English fluency, both spoken and written Eligible to work in the United KingdomNice to have Background from an e-commerce agency, or from an AI, agentic, or workflow automation consultancy Track record of identifying and optimising business operations and workflows using AI Strong presentation craft, including the ability to create engaging slides, diagrams, and visual narratives Experience contributing to or co-authoring commercial proposals, particularly outside the standard day-rate model (packaged, subscription, outcome-based) Experience shaping practice IP: accelerators, points of view, methodologies, reusable assets Working French Additional InformationHow we will work together You will report into the Data & AI service line leadership. You will work alongside architects and engineers across the Data & AI service line and the wider SQLI group, and contribute to the International AI community. There is real scope to shape the role over the next twelve months, including progression to Principal level as the practice scales. How to apply Send a short note covering: One or two AI engagements you have shaped, what the business problem was, and how you measured success A view on where you think enterprise AI delivers real value today and where the hype exceeds the reality Your notice period and earliest start date Why you’ll love working at SQLI?A flexible remote working policy: 3 days per weekContinuous learning opportunities and certifications to support your developmentPersonalised support: career follow-up, diverse projects, and strong team collaborationRegular rituals: internal communications on tech and AI topics, internal events, and meet-ups SummaryType: Full-timeFunction: Information TechnologyExperience level: AssociateIndustry: Information Technology And Services

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryFinanceJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Salesforce is currently seeking an experienced Accounting Senior Director, to support the organization’s strategy, growth, and operational excellence. As a leader in the Controllership Global organization, responsibilities will be around developing projects in support of designing complex and high-risk accounting transactions and their related processes across our operations globally.The environment is dynamic and the role will consist in contributing or leading projects and initiatives to ensure proper integration of US GAAP, IFRS and local GAAP accounting and finance business requirements. You will adeptly collaborate with internal teams (FP&A, Legal, Treasury, Tax, Treasury, Compensation, IT etc.) and external stakeholders (system integrators, business integrators etc), gain leadership experience to and support staff so that they are able to act when requirements are ambiguous or evolving.Impact:Integration Strategy & Planning: Lead the development of the integration strategy aligned with the deal model and accretion plan, translate strategic objectives into detailed integration roadmaps (including milestones, deliverables, and KPIs), and establish robust governance structures and decision-making frameworks with clear escalation paths.Design standard playbooks: for non-standard transactions such as acquisitions, mergers, country expansion.Operational Excellence & Insights: Define and implement KPIs in coordination with GPOs to monitor performance, enhance visibility on operational effectiveness for leadership. Support continuous improvement initiatives.AI & Automation Enablement: Identify and deploy with finance transformations high-impact AI/agent use cases to scale automated, data-driven operations across Controllership.Leal Global Controllership Alignment: Serve as a central integration point to ensure that as we scale, our initiatives are aligned across our Global Process Owners (GPOs), cross-functional partners, and technology teams.Drive Holistic Stakeholders Engagement: Facilitate alignment across diverse groups (Tax, Treasury, Legal, M&A) to ensure that Controllership initiatives consider the full financial picture and regulatory landscape.Strategic Decision Support: Lead key strategic projects within the Global Accounting organization, specifically identifying decision bottlenecks and presenting clear facts to the appropriate stakeholders to facilitate resolution.Technology & Business Liaison: Serve as a key bridge between the Accounting function and the Digital Enterprise Transformation (DET) team. You will help articulate clear business facts, define requirements, and support critical design decisions to ensure our systems support our accounting needs.Executive Communication & Storytelling: Transform complex project updates and accounting data into clear, compelling narratives. You will act as the content creator for executive presentations, ensuring that leadership and sponsors have a digestible, fact-based view of project status and decision points.Accounting Operations: Support international accounting operations on certains complex transactions including local compliance obligations or M&A activities.Minimum Qualifications10+ years of experience in the International accounting environment of which 5+ years in a relevant role for the position;Expertise in US GAAP, IFRS and local statutory requirements;Robust experience with SOX audit frameworkBachelor's Degree (or equivalent work experience) in Accounting, Finance, Business Administration, Information Systems, or related subject area, Project management certification as a plus;Ability to drive work independently, identifying solutions, moving them to implementation, and developing long-range strategiesA track record of working successfully in a matrix environment. You know how to partner with existing process leaders and stakeholders to build consensus without needing direct authority;Team player; self-starter; results-oriented; 'can do' attitude; hands-on approach who is able to work with virtual, global & cross functional teamsDevelops, maintains, and strengthens partnerships with others inside and outside the immediate organization who provide decision making, information, or supportMust be able to multitask, work efficiently under tight deadlines and proactively track and report progressExcellent written and verbal communication skills to “engage in the conversation”Ability to create executive-level decks and verbally articulate complex ideas simply and concisely.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.SummaryLocation: United Kingdom - LondonType: Full time

Job SummaryBe part of a fast-growing, innovative company pioneering “Liveable Technology” to transform diabetes care. We’re hiring a MuleSoft Integration Manager – AI Enablement to lead the integration capability that enables secure, governed, and scalable enterprise AI adoption. This role will be based in the United Kingdom and will partner closely with global technology, product, data, security, and business teams to make enterprise systems, APIs, and data safely available to AI agents, automation platforms, and intelligent business workflows. This capability is responsible for advancing Insulet’s AI enablement foundation through MuleSoft Anypoint Platform, MuleSoft AI Gateway, Model Context Protocol (MCP), MuleSoft Agent Fabric, API-led connectivity, event-driven integration, and secure agent-to-system orchestration. The role will help transform existing enterprise APIs and integrations into trusted, reusable, agent-ready assets that support automation, productivity, customer experience, and operational intelligence. As a member of the Integration leadership team, this manager will own the AI Enablement Integration portfolio, lead a globally distributed MuleSoft engineering team, and partner with Enterprise Architecture, AI/ML, Salesforce, Data, Security, Product, and Platform teams to design and operate the integration layer for the agentic enterprise in a highly regulated healthcare environment. Global AI Enablement & Collaboration Model Serve as a primary integration leader for enterprise AI enablement across the UK, EMEA, U.S., and global markets. Partner with AI, Salesforce, Data, Product, Security, Enterprise Architecture, SRE, and MuleSoft CoE teams to establish reusable agent-ready integration patterns. Enable secure access to enterprise systems and APIs through MCP servers, AI Gateway policies, governed API products, and reusable integration services. Support global delivery and follow-the-sun operational readiness for business-critical AI-enabled workflows. Act as a bridge between business ambition and technical execution, helping teams move from AI pilots to governed, production-grade AI capabilities. AI Enablement Capability Ownership This role owns the end-to-end integration capability that enables enterprise AI agents, copilots, automation platforms, and intelligent workflows to securely discover, access, and act on enterprise systems and data. MuleSoft AI Gateway and secure AI traffic management Model Context Protocol (MCP) enablement for enterprise APIs and tools MuleSoft Agent Fabric adoption, including tool discovery, agent governance, and agent-to-system orchestration Agent-ready API products, reusable integration assets, and governed API catalogs AI-enabled integration patterns across Salesforce, Data, ERP, customer, operational, and platform domains Observability, policy enforcement, auditability, and compliance for AI-driven integration flows The manager will oversee a broad portfolio of APIs, connectors, MCP-enabled tools, and integration services, ensuring that AI agents and automation platforms can interact with enterprise systems in a way that is secure, observable, reusable, scalable, and compliant.Key Responsibilities AI Enablement Leadership & Strategy Own the AI Enablement Integration roadmap, aligning MuleSoft capabilities with enterprise AI strategy, business priorities, and platform governance. Define how MuleSoft, APIs, MCP, AI Gateway, and Agent Fabric enable secure, reusable, and governed AI adoption across the enterprise. Partner with Product, Data, Salesforce, Security, and Architecture leaders to translate AI use cases into scalable integration capabilities. Drive adoption of API-led connectivity, Domain-Driven Design, agent-ready API design, and composable integration patterns. Balance innovation, speed-to-value, security, compliance, operational resilience, and long-term platform sustainability. Agentic Integration Delivery & Design Oversight Oversee design and implementation of System, Process, Experience, and Agent-ready APIs that expose enterprise capabilities safely to AI agents and automation platforms. Lead implementation patterns for MCP servers, tool registration, agent action enablement, AI Gateway routing, policy enforcement, and agent-to-system orchestration. Ensure AI-enabled integrations follow strong standards for identity, consent, access control, data minimisation, rate limiting, observability, and auditability. Provide architectural guidance on complex use cases involving multi-system orchestration, agent workflows, human-in-the-loop controls, and event-driven automation. Ensure alignment with enterprise reference architectures, integration governance, security standards, and regulated industry expectations. Team Leadership & Development Lead and mentor a team of MuleSoft engineers delivering AI enablement, API, MCP, and agentic integration capabilities. Build engineering fluency in AI integration patterns, agent-ready API design, MuleSoft AI capabilities, secure-by-design delivery, and production operations. Enable strong collaboration between delivery, MuleSoft CoE, Enterprise Architecture, AI/ML, SRE, Security, and production support teams. Set expectations for quality, operational ownership, reuse, documentation, and cross-regional collaboration. Foster a culture of innovation, accountability, continuous improvement, responsible AI adoption, and learning. Platform & Operational Excellence Ensure reliability, scalability, and performance of production APIs and integration services supporting AI-enabled business workflows. Oversee CloudHub 2.0, Flex Gateway, API Manager, Anypoint Monitoring, Exchange, and CI/CD practices for AI-enabled integration delivery. Drive best practices for error handling, retries, idempotency, throttling, resiliency, traffic management, and graceful failure modes. Partner with SRE and DevOps teams on observability, capacity planning, incident management, and operational runbooks for agent-driven workloads. Establish measurable engineering standards for reuse, automation, deployment quality, policy compliance, and production readiness. Security, Quality & Compliance Ensure AI-enabled integrations comply with GDPR, HIPAA, SOX, security, privacy, and regulated healthcare requirements. Partner with Security and Architecture teams to enforce responsible AI guardrails, least-privilege access, policy-based governance, and secure agent-to-tool interactions. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com.We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!Please read our Privacy Notice to learn how Insulet handles your personal information when you apply for a vacancy with us here.SummaryLocation: London, United KingdomType: Full time

Want to join a team of passionate people who want to build a future where no one dies from skin cancer? About usSkin Analytics is an award-winning, health tech company that deploys world-leading skin cancer pathways using AI as a medical device, DERM.Following our recent 15M series B funding, regulatory milestones hit, and doubling from 50 to 100 headcount in 2025, we're ready to scale further internationally, making history for AI in healthcare and the future of dermatology.We're proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as being the first company to receive a NICE recommendation for use across the NHS.*DERM is deployed at more than 28 NHS organisations where we enable patients to gain significantly quicker access to skin cancer diagnosis. If that's not enough, we also collaborate with some of the largest health insurers to reach patients in their own homes.We are a team of passionate people on a mission to build a future where no one dies from skin cancer.We are looking for an exceptional Senior AI Enablement Engineer to help transform the way Skin Analytics builds software.This is a senior role, reporting into our VP of Technology, focused on enabling engineers, teams and the wider business to maximise the value of AI-assisted and agentic software development.You will work alongside Engineering Managers, Senior Engineers, Product teams and business stakeholders to identify opportunities for AI-driven automation and productivity improvements across the entire software development lifecycle.You will help define the future engineering operating model at Skin Analytics, introducing new tools, workflows, agents and ways of working that allow our teams to deliver more value with greater quality and speed.This is a highly hands-on role. We are looking for someone who actively uses modern AI engineering tools every day and has practical experience delivering real software using agentic workflows.ResponsibilitiesAI Engineering EnablementLead the adoption of AI-assisted engineering practices across the organisation.Identify opportunities to automate software delivery processes using AI and agentic tooling.Design and implement AI-enabled workflows covering requirements, design, implementation, testing, documentation, deployment and support.Act as the subject matter expert for AI-assisted software engineering.Create standards, patterns and best practices for the use of AI within Engineering.Technical LeadershipPartner with Engineering Managers and Senior Engineers to improve team productivity and effectiveness, whilst maintaining quality and regulatory compliance.Coach, mentor and train engineers in the practical use of AI tooling.Establish metrics to measure the impact of AI tooling and automation initiatives.Agentic Systems DevelopmentBuild and maintain internal AI agents and automation solutions, integrating capabilities into our platforms and workflows.Evaluate and implement emerging AI tools and technologies.Develop reusable prompts, workflows, agent architectures and engineering accelerators.Work closely with Platform, DevOps and Security teams to ensure safe and scalable adoption.Strategic InnovationHelp shape Skin Analytics’ AI strategy across Engineering and the wider business.Evaluate emerging technologies and identify opportunities for competitive advantage.Work with leadership to prioritise AI initiatives based on business impact.Support the wider organisation in understanding how AI can improve operational efficiency.Required experienceLeadership and CommunicationAbility to influence technical and non-technical stakeholders.Experience driving engineering transformation initiatives.Strong coaching and mentoring skills.Excellent communication and presentation abilities.Comfortable working across multiple teams and disciplines.AI and Agentic EngineeringExtensive hands-on experience with modern AI engineering tools such as Claude Code, Codex, Gemini, Cursor, Windsurf or equivalent.Experience designing and implementing agentic workflows into software delivery processes.Deep understanding of prompt engineering, context management and agent orchestration techniques.Experience evaluating AI tooling and measuring productivity outcomes.Understanding of AI governance, security and risk management considerations.Software EngineeringStrong software engineering background with significant experience building production systems.Experience with JavaScript, TypeScript, Node.js, Cloud platforms such as AWS and Git-based development workflows.Understanding of software architecture and system design.Experience working within CI/CD environments.Benefits Competitive salaryShare options package - all our employees have ownership in the company Private healthcare Company pension incl. salary sacrifice options 25 days annual leave + 5 day company shutdown in August + bank holidays Enhanced parental leave - includes adoption & foster Yellownest Salary Sacrifice Nursery Scheme - save with workplace nursery schemeBike to work scheme Training budget Weekly catch-ups, monthly meetings to talk about you, your ambitions and work on your development Lots of fun social activities!Our Values Building a Strong Foundation Always Learning Lead from the Front Tough and ResilientThe Real StuffSkin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. If you need any adjustments during our hiring process, you can indicate that at the next step.AI usage in our hiring processIf you submit an application to us, you will consent to AI playing a role in your hiring process. No hiring decision is ever made by an algorithm alone. Every AI-generated summary, screening result, or note is reviewed, verified, and, if necessary, corrected by a member of our recruitment team. Humans make the final call on who moves forward and who receives an offer.You can find more information about how we use AI in our hiring process here.LocationLondonAddressLondon, EnglandEmployment TypeFull timeLocation TypeOn-siteDepartmentTechnologyEngineering

What we’re looking forGreat AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day.Sitting within Data Science, this is at heart a hands-on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems—building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range of machine learning models and pipelines across the business. You will be the key partner working hand in hand with Engineering, DevOps and Infrastructure teams to bring our models and systems into production—owning the technical journey of making AI/ML systems live, stable, secure and performant.As a senior member of the Data Science team, you will set the standard for production readiness, act as the bridge between data science and the wider engineering organisation, drive delivery across teams, and mentor colleagues. Your work will directly determine how quickly and confidently Argus can bring new AI/ML capabilities to life.What will you be doingDelivery & EngineeringDesign and build robust, secure APIs and backend components that power AI/ML, GenAI and agentic applications.Engineer agentic systems—integrating LLMs with tools, data sources, and business workflows into reliable, production-grade pipelines.Drive systems from prototype to production, owning reliability, scalability, and operational readiness.Raise code quality, structure, and production readiness across the AI/ML stack.Debug and resolve issues across APIs, environments, and integrations, ensuring rapid response times and minimal disruption.Collaboration & PartnershipAct as the primary technical partner between Data Science and the Engineering, DevOps and Infrastructure teams, taking solutions from development through to live deployment.Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components.Proactively resolve technical ambiguity to reduce delivery friction and rework, ensuring a smooth handover from prototype to production.Technical Leadership & EnablementEstablish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management.Mentor and guide data scientists and engineers, providing code reviews and hands-on technical support.Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science.Skills and ExperienceEducationA degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline—or equivalent hands-on experience. An MSc or PhD is welcome but not essential.Essential Experience & SkillsExceptionally strong Python programming skills, with a deep grasp of object-oriented design, clean code, and core software engineering principles (e.g. SOLID, design patterns, modularity, testability).Strong backend / API engineering experience, ideally in Python (e.g. FastAPI, or similar).Hands-on experience building and operating solutions in AWS environments.Proficiency with Docker, GitHub, and CI/CD pipelines.Proven ability to partner with and work across teams to drive delivery into production.Strong problem-solving, debugging, and performance optimisation skills.Solid software engineering foundations, including version control, automated testing, and monitoring.DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).Experience with GenAI / LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure to MCP (Model Context Protocol) and tool-based / function-calling architectures.Experience deploying and operating machine learning models / MLOps pipelines (e.g. model serving, monitoring, retraining workflows).Experience with real-time / streaming systems.What’s in it for youOur rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.Competitive salary and company bonus schemeGroup pension schemeGroup healthcare and life assurance schemeHybrid working environment (currently three days in office)25 days annual holiday with incremental increase up to 30 daysSubsidised gym membershipSeason ticket travel loanCycle to work schemeFlexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening)Extensive internal and external training

ServiceNow Developer \n Salary: Up to £85,000 + BenefitsLocation: Hybrid (UK - office, client site and home working)Security Requirements:Active SC Clearance and Sole UK Nationality are essential for this role. \n The Opportunity \n We are looking for an experienced ServiceNow Developer to join a growing technology team delivering innovative ServiceNow solutions across enterprise environments. This is an exciting opportunity to work on a combination of project delivery and platform enhancement, helping to improve business processes, automate workflows and enhance the end-user experience. \n Working alongside technical specialists and automation teams, you will play a key role in designing, developing and optimising ServiceNow solutions with a particular focus on Virtual Agent and intelligent automation. \n Key Responsibilities \n\n • Design, develop and maintain ServiceNow applications, modules and integrations.\n, • Configure and enhance ServiceNow Virtual Agent capabilities.\n, • Develop and support workflow automation using RPA technologies.\n, • Collaborate with business and technical stakeholders to gather requirements and translate them into scalable technical solutions.\n, • Optimise platform performance, troubleshoot issues and ensure high availability.\n, • Contribute to the continuous improvement of the ServiceNow platform and development standards.\n\n Essential Skills & Experience \n\n • Proven experience developing and customising the ServiceNow platform.\n, • Strong knowledge of ServiceNow workflows, scripting and integrations.\n, • Experience with ServiceNow Virtual Agent and/or Robotic Process Automation (RPA).\n, • Strong JavaScript development skills.\n, • Excellent analytical and problem-solving abilities.\n, • Strong communication skills with the ability to work collaboratively across technical and business teams.\n\n Essential Requirements \n Applicants must meet the following criteria: \n\n • Active SC (Security Check) Clearance.\n, • Sole UK National (dual nationality cannot be considered for this position).\n, • Eligible to work on secure UK Government programmes.\n, • Able to work in a hybrid environment, including client sites and UK offices as required.\n\n What's on Offer \n\n • Salary up to £85,000.\n, • Hybrid working model with flexibility.\n, • Opportunity to work on complex, high-profile programmes.\n, • Ongoing training and professional development.\n, • Collaborative and supportive technical environment.\n, • Excellent career progression opportunities.\n\n If you're a skilled ServiceNow Developer looking to work on secure, business-critical projects while continuing to develop your expertise, we'd love to hear from you. \n

Research Scientist/Engineer - Agent Systems & Reinforcement Learning \n Location: LondonSalary: £ per annum + permanent benefits + bonusJob Type: Permanent, Full-Time, On-site \n About the Opportunity \n We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems that represent the next frontier of artificial intelligence. This team is exploring how autonomous AI agents can operate effectively across complex environments, continuously learn from experience, and improve their capabilities over extended periods of execution. \n This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems, contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). \n You will work alongside internationally recognised researchers and engineers, with access to significant computational resources and the freedom to investigate ambitious research challenges while helping translate breakthrough ideas into practical AI systems. \n The Role \n As a key member of the research team, you will contribute to the design and development of next-generation Agent systems, focusing on long-term reasoning, memory, self-improvement and reinforcement learning-driven optimisation. \n Key Responsibilities \n Agent Memory & Long-Term Reasoning \n\n • Design and develop advanced Agent memory architectures capable of supporting ultra-long context processing.\n, • Research techniques to mitigate memory degradation in long-running Agent environments.\n, • Improve information retrieval, storage and utilisation mechanisms to enhance long-term planning and decision-making.\n, • Explore scalable approaches for persistent memory systems across complex task environments.\n\n Agent Self-Evolution & Autonomous Learning \n\n • Develop self-evolving Agent capabilities that enable continuous improvement through experience.\n, • Research unified Agent representations and optimisation frameworks to support autonomous adaptation.\n, • Build systems that facilitate iterative self-improvement and long-term learning.\n, • Contribute to the development of Agent Harness frameworks that enable scalable evolution of autonomous agents.\n\n Agentic Reinforcement Learning \n\n • Investigate advanced reinforcement learning methodologies for Agent optimisation.\n, • Develop both parametric and non-parametric RL approaches to improve Agent performance.\n, • Build collaborative update pipelines connecting Agent policy models and Agent execution frameworks.\n, • Evaluate and improve learning efficiency across diverse environments and task domains.\n\n Research & Innovation \n\n • Conduct novel research in Agent systems, Large Language Model reasoning and reinforcement learning.\n, • Publish findings and contribute to the broader AI research community.\n, • Collaborate with multidisciplinary teams to translate research breakthroughs into practical systems.\n, • Stay at the forefront of emerging developments within autonomous AI and intelligent agent technologies.\n\n About You \n Essential Requirements \n\n • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline.\n, • Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI.\n, • Demonstrated expertise in at least one of the following areas: Agent Systems, Reinforcement Learning, Large Language Models, Autonomous AI or Reasoning Systems.\n, • Excellent programming skills, particularly in Python and modern machine learning frameworks.\n, • Strong analytical and problem-solving abilities with a passion for tackling complex research challenges.\n, • Excellent communication and collaboration skills within multidisciplinary research teams.\n, • Commitment to working within a highly ambitious and fast-paced research environment.\n, • First-author publications at leading conferences including NeurIPS, ICML, ICLR, ACL, EMNLP or equivalent.\n\n Desirable Requirements \n\n • Experience conducting cutting-edge research in Agent systems, reinforcement learning or foundation models.\n, • High-impact research contributions, highly cited publications or influential open-source projects.\n, • Track record of success in relevant competitions such as Kaggle, ARC-AGI or similar AI benchmarks.\n, • Experience developing large-scale AI systems within industry, academia or advanced R&D environments.\n\n

\n GCP AI Infrastructure & Cloud Engineer Role - London - £90-115k \n Location: Hybrid - 3-4 days per week in the London officeSalary: £90,000 - £115,000 + benefitsSponsorship: Applications welcome from candidates requiring sponsorship, provided you are currently living and working in the UK. \n A leading financial services organisation is seeking an experienced GCP AI Infrastructure & Cloud Engineer to join its growing AI function. This is a fantastic opportunity to play a critical role in building, managing and optimising the secure cloud environments that underpin a rapidly expanding AI portfolio. \n Working as part of a specialist AI Cloud & Environments team, you will be responsible for ensuring AI developers, innovation teams and technology partners have access to scalable, compliant and highly available environments that enable the delivery of cutting-edge AI solutions. This role combines cloud engineering, platform operations, AI infrastructure and governance, making it ideal for someone who wants to be at the forefront of enterprise AI adoption. The Role\n As the AI Infrastructure & Cloud Engineer, you will take ownership of AI-specific cloud environments across development, testing and production, ensuring they remain secure, well-governed and operationally efficient. \n You will work closely with AI, infrastructure, security and compliance teams to deliver robust cloud platforms that support model hosting, vector databases, AI integrations and LLMOps capabilities. Key Responsibilities\n\n • Build, manage and maintain AI cloud environments across Google Cloud Platform (GCP) and Microsoft Azure.\n, • Support AI development, testing and production workloads including model hosting, vector databases and API gateway services.\n, • Implement and operate LLMOps tooling, including model registries, evaluation frameworks, monitoring pipelines and prompt management solutions.\n, • Configure and secure API gateways for internally developed AI services and third-party integrations, including Model Context Protocol (MCP) connectors.\n, • Provision and maintain sandbox and staging environments to support rapid AI development and experimentation.\n, • Work closely with Information Security and Compliance teams to ensure environments meet regulatory, governance and data residency requirements.\n, • Support incident management activities and maintain service levels across the AI platform.\n, • Own cloud cost governance, including budgets, quota management, spend monitoring and optimisation initiatives.\n, • Produce and maintain infrastructure documentation, runbooks and operational knowledge articles.\n, • Identify, remediate and manage security vulnerabilities and compliance risks across cloud platforms.\n, • Contribute to the wider infrastructure and platform engineering function as required.\nAbout You\n We're looking for a hands-on GCP cloud engineer with strong experience supporting AI and machine learning platforms in enterprise environments. Essential Experience\n\n • Strong hands-on experience with Google Cloud Platform, including AI and Machine Learning services such as Vertex AI, Gemini Enterprise and Gemini Agent Platform.\n, • Experience with Azure AI services and the broader Microsoft ecosystem, including Azure infrastructure, Microsoft 365 and Entra ID.\n, • Practical experience supporting AI/ML infrastructure, including:\n \n, • Vector databases\n, • Model hosting solutions\n, • Serverless inference\n, • Containerised AI workloads\n, • Model versioning and evaluation pipelines\n \n, • Experience configuring and securing API gateways and AI integration services.\n, • Understanding of MCP (Model Context Protocol) and modern AI connector architectures.\n, • Strong Infrastructure-as-Code experience using Terraform.\n, • Experience working with CI/CD pipelines, Azure DevOps and GitOps methodologies.\n, • Strong cloud cost management and optimisation experience.\n, • Scripting and automation skills using Python and/or PowerShell.\n, • Experience with Graph API and cloud automation tooling.\n, • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.\nWhy Apply?\n\n, • Be part of a high-profile enterprise AI transformation programme.\n, • Work with the latest AI, cloud and LLMOps technologies.\n, • Join a collaborative, forward-thinking technology team within financial services.\n, • Competitive salary of £90,000-£115,000 plus an attractive benefits package.\n, • Hybrid working model with 3-4 days per week in the office.\n, • Sponsorship available for candidates who currently live and work in the UK.\n\n If you're passionate about AI infrastructure, cloud engineering and enabling enterprise-scale AI innovation, we'd love to hear from you. Submit your CV or contact David Airey at . \n

Lead the development of enterprise AI solutions that deliver real business impact\n\n • Join a newly expanding AI & Automation team with significant investment and visibility.\n, • Build production AI agents and automation solutions using cutting-edge Microsoft technology. \n, • Influence technical standards whilst helping shape the future direction of the function.\nThis Senior AI Automation Engineer position offers the chance to work on projects that move quickly from concept into production. You'll build solutions that are used by real users and have measurable business impact. You'll sit within a highly visible team that is investing heavily in modern AI capabilities.What you'll be doingYou'll design and build AI agents, automation workflows and production-grade applications using Python, Azure and Microsoft AI technologies. Working closely with technology and business stakeholders, you'll integrate AI solutions into existing platforms, develop reusable engineering components and help establish best practices across the team. You'll also support technical design reviews, contribute to engineering standards and help ensure solutions are scalable, reliable and secure.This is a fantastic opportunity for someone who enjoys solving complex problems and building technology that genuinely improves the way people work. You'll also help define the future of the team's engineering capability.What experience you'll need to apply\n\n, • Several years of commercial experience building and deploying AI-powered solutions (ideally within medium to large organisations)\n, • Strong hands-on experience with Microsoft Copilot Studio, ideally including the design and deployment of AI agents over the last 12 months or more\n, • Strong Python development experience, including building production-ready applications, APIs and automation workflows\n, • Experience working with Azure, particularly within AI, automation or cloud-based development environments\n, • Experience implementing AI solutions in production environments rather than purely proof of concept work\n, • Strong understanding of AI orchestration, agent design and systems integration\n, • Experience working closely with stakeholders to understand business challenges and turn them into technical solutions\n, • Experience operating within professional services, financial services, insurance, tax or other regulated environments would be highly beneficial\n, • Previous experience providing technical leadership, mentoring engineers or helping establish engineering standards would be advantageous\n, • Please note that this role is best suited to candidates who have been applying AI within a commercial business environment rather than solely through freelance, consultancy or personal projects\nWhat you'll get in return for your experienceA salary of up to £80,000 plus discretionary bonus, alongside hybrid working, generous annual leave, wellbeing benefits, ongoing professional development and the opportunity to join a highly visible and rapidly expanding AI function.Location & Working PatternThis role can be based from either Birmingham, London or Manchester, with a hybrid working model of three days per week in the office.Please note that sponsorship is not available for this position. Applicants must already have the unrestricted right to work in the UK on a permanent basis. Unfortunately, applications from candidates who require sponsorship now or in the future cannot be considered.What's next?Apply today with your CV! We're supporting this organisation with three vacancies within the same AI & Automation team. Please apply for the role that best suits your experience and requirements. To avoid duplicates, applications will be reviewed against the selected position and may also be considered for the other opportunities where appropriate.

Applied AI Engineer - London - Up to £190,000 - Permanent \n A rare opportunity has risen for a Senior Applied AI Engineer to join a dedicated team at the heart of a leading global financial organisation's AI function. \n As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. \n The Role \n \n\n • Translate business challenges and problem statements into working proofs of concept and production-grade AI solutions.\n, • Architect, develop and deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies.\n, • Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.\n, • Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions.\n, • Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude.\n, • Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next.js and Svelte.\n, • Build robust backend services, APIs and orchestration frameworks to support AI-powered applications.\n, • Design and manage data architectures across SQL, NoSQL and vector database environments.\n, • Collaborate with business stakeholders to identify, prioritise and deliver AI use cases that generate measurable business value.\n, • Assess AI platforms, models and third-party technologies against criteria including performance, scalability, cost, latency, security and maintainability.\n, • Conduct model benchmarking, technical due diligence and framework evaluations to inform technology decisions.\n\n Skills & Experience \n\n • Demonstrated experience designing, developing and deploying Applied AI and Generative AI solutions in production environments.\n, • Strong hands-on expertise with Large Language Models (LLMs), AI agents and modern orchestration frameworks.\n, • Experience working with Google Cloud AI services, particularly Gemini-based technologies and ecosystems.\n, • Advanced Python development skills, with exposure to TypeScript considered highly advantageous.\n, • Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design.\n, • Hands-on experience building applications using React, Next.js, Svelte or comparable modern front-end frameworks.\n, • Strong understanding of SQL, NoSQL and vector database technologies, including platforms such as PostgreSQL and Firestore.\n, • Proven experience implementing RAG architectures, prompt engineering techniques and AI model evaluation methodologies.\n, • Practical experience with containerisation and cloud-native technologies, including Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform.\n, • Strong problem-solving, stakeholder engagement and architectural design skills, with the ability to translate business requirements into scalable AI solutions.\n\n Why Apply? \n\n • Impressive base salary of £190,000 with a strong 20% bonus structure.\n, • Great opportunity to work on genuinely innovative AI and agentic systems.\n, • Visa sponsorship available for UK-based candidates (must be exceptional)\n\n If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great to hear from you. \n Apply below or submit your CV at \n All candidates must be UK-based. \n

\n Senior Applied AI Engineer - London - £150-190k \n Location: Central London (minimum 3 days per week in the office) Salary: Up to £190,000 base salary + 20% bonus + comprehensive benefits package Sponsorship: Visa sponsorship available for exceptional candidates. Applicants must be currently based in the UK. \n A leading financial services organisation is seeking a Senior Full Stack Applied AI Engineer. \n This is a rare opportunity to work at the forefront of Generative AI, Agentic AI and Large Language Models, building end-to-end AI-native applications that solve real business problems. You'll take concepts from ideation through rapid prototyping and help shape the technical foundations of solutions that ultimately scale into enterprise production environments. \n The Role \n As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. \n Key Responsibilities \n\n • Take concepts from problem statement through to working proof-of-concept and production-ready prototypes.\n, • Design and build AI-native applications leveraging LLMs, agents and multimodal AI frameworks.\n, • Develop and orchestrate agentic workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.\n, • Design and implement Retrieval Augmented Generation (RAG) architectures, Vector Search solutions and agent memory management.\n, • Deploy and manage AI agents using Google's managed agent runtime and foundation models including Gemini and Claude.\n\n\n, • Build intuitive front-end applications using modern frameworks such as React, Next.js or Svelte.\n, • Develop scalable backend services, APIs and orchestration layers supporting AI applications.\n, • Design and manage data solutions across SQL, NoSQL and vector database platforms.\n\n\n, • Partner with business stakeholders to identify opportunities where AI can deliver measurable value.\n, • Evaluate AI models, platforms, frameworks and third-party tools based on capability, cost, latency, security and maintainability.\n, • Conduct model benchmarking, technical assessments and framework evaluations.\n\n Required Experience \n\n • Proven experience designing, building and deploying Applied AI or Generative AI solutions.\n, • Strong hands-on experience with Large Language Models, AI agents and modern orchestration frameworks.\n, • Experience working with Google Cloud AI technologies, particularly Gemini-based solutions.\n, • Strong Python development skills, with TypeScript experience highly desirable.\n, • Full stack development experience, with a particular strength in backend engineering and API development.\n, • Experience building applications using React, Next.js, Svelte or similar modern front-end technologies.\n, • Strong knowledge of SQL, NoSQL and vector databases including technologies such as Postgres and Firestore.\n, • Experience implementing RAG solutions, prompt engineering and model evaluation frameworks.\n, • Hands-on experience with Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code tools such as Terraform.\n\n Why Apply? \n\n • Base salary of up to £190,000 plus 20% annual bonus\n, • Opportunity to work on genuinely cutting-edge AI and agentic systems\n, • Visa sponsorship available for UK-based candidates\n\n If you're passionate about building the next generation of AI-powered applications and want to play a key role in shaping how a leading financial services organisation leverages Generative AI, we'd love to hear from you. \n To apply, submit your CV or contact David at . \n

Req ID:376740NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Knowledge Graph Consultant to join our team in London, London, City of (GB-LND), United Kingdom (GB).Job Title: Knowledge Graph ArchitectExperience: 10+ years (5+ years in Knowledge Graphs / Ontology Engineering)Role OverviewWe are looking for a Knowledge Graph Architect to lead the design and governance of enterprise knowledge graphs. This role will define the ontology, data model, and canonical vs. interpretive boundaries, enabling scalable, high-quality graph data for AI-driven use cases, including Graph RAG.The role also requires strong team leadership, including coaching, mentoring, and building internal capabilities.Key ResponsibilitiesArchitecture & DesignDefine node types, relationships, schemas, and property standardsDesign scalable and extensible graph data modelsEstablish versioning and lifecycle standardsOntology & GovernanceDevelop ontologies, taxonomies, and semantic frameworksDefine canonical vs. interpretive data boundariesGovern schema evolution and version controlGraph Change ManagementAct as the authority for all structural changesManage schema, relationship, and property updatesDefine and enforce change control processesGraph RAG & AI EnablementDesign Graph RAG retrieval strategiesIntegrate knowledge graphs with LLMs and AI systemsOptimize context generation for AI use casesAPI & Consumption LayerDesign REST/GraphQL APIs for graph accessDefine agent consumption interfacesEnsure performance, scalability, and usabilityTeam LeadershipCoach, mentor, and develop internal talentProvide hands-on technical guidance and reviewsDrive delivery, prioritization, and skill developmentStakeholder CollaborationPartner with data, AI/ML, and business teamsTranslate requirements into semantic modelsProvide thought leadership on graph adoptionRequired SkillsNeo4j Schema Design (Cypher, property graph modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST / GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture, ontology design, and advanced AI capabilities while building and leading a strong internal team.About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.Posting Date:Department:CONS: International Banking - 1460252071

Join us!We’re always happy to hear from people who are eager to learn and grow, and share our values. Read more about the role and apply.About the roleAs a Senior AI Engineer at Futurice, you'll be part of our growing AI & Data team, designing and building the intelligent applications and workflows that sit at the heart of our client work. You'll be shaping solutions, advising clients, and helping define how Futurice builds and delivers AI at scale.You'll work across the full lifecycle: from early-stage ideation and proposals through to building and deploying production-quality, cloud-native GenAI applications for clients across industries like media, retail, and automotive. You'll also mentor junior engineers and make meaningful contributions to our internal AI practices.Skills & RequirementsWhat we're looking for:5+ years of hands-on experience – in AI or applied data-intensive software engineering, or equivalent experience. A track record of taking projects from idea to production is what matters most.Proficiency in Python – You write clean, maintainable, production-quality code. You have experience taking systems from idea to production and keeping them running.Modern GenAI tooling – You have hands-on experience with libraries and tools like Pinecone, HuggingFace, LangChain/LangSmith, or CrewAI, and you know how to pick the right tool for the job.Understanding of agentic architectures – You're comfortable designing systems involving tool use, orchestration, evaluation, and multi-agent patterns, and you understand the trade-offs involved.Experience with RAG systems – You have a solid understanding of retrieval-augmented generation systems and pipelines, and you've built them in real-world contexts.Cloud platform experience – You're experienced with at least one of Azure, AWS, or GCP, and comfortable deploying and maintaining systems in production.Interest in client-facing work – You enjoy the full picture. You're as happy in a client workshop or contributing to a proposal as you are building. You can explain complex ideas clearly and build trust with clients.Curiosity over ego – You approach disagreement with empathy, learn from feedback, and care more about getting things right than being right.You don't need experience in everything in the world of GenAI, we know it moves fast. We're looking for people who are strong in a few areas and take the initiative to grow in others. Tell us what you've been exploring lately!What you'll doIn this role, you will:Design and build cutting-edge AI applications – from MCP servers and voice-to-voice real-time apps to RAG bots and multi-agent systems. You'll work on technology that's genuinely new territory.Advise clients on AI strategy – join workshops, contribute to proposals, and help clients understand what's possible and what's right for them. You'll be a trusted voice in conversations with clients, shaping direction alongside them.Build demos and PoCs – fast, purposeful, and client-ready. You know how to show something compelling without over-engineering it.Mentor junior engineers – share knowledge, review code thoughtfully, and help grow the team around you.Shape our AI practice – contribute to shared tools, frameworks, and ways of working. How Futurice delivers AI is something we build together.Next steps - who you’ll meet and for whatWe aim to make the process clear, human, and respectful of your time:Talent screening call (30m) – with someone from our People Team to learn about you, your ambitions, and answer your questions about the role.Skills-based interview (45m) – a Skills-based interview with our technical team.Coding Task (1 hour) - you can either bring your own code/architecture to walk us through, or complete a task provided by Futurice.Values interview (45m) – with a cross-functional duo to explore how you work, what drives you, and how you align with our culture of care, trust, transparency, and continuous improvement.What Futurice Offers YouWe use a transparent salary model based on your skills, responsibilities, and impact. The salary band for this role is 60,000 – 90,000 depending on experience.We also believe in care, trust, transparency, and continuous improvement. Here’s what that looks like in practice:A supportive, values-driven team culture where individuality is celebrated.A personal learning budget (1,200/year), mentoring, and knowledge-sharing sessions.Flexible, remote-first working with colleagues across the UK and EU.Private health insurance (WPA), pension contributions (6%+), and wellbeing support (50/month via Juno).25 days holiday + bank holidays + your birthday off — increasing by 1 day per year after 3 years’ service (capped at 30).A tiered parental leave policy (16 weeks maternity, 4 weeks partner, full pay depending on tenure).EV salary sacrifice scheme (depending on tenure).A clear career framework with review cycles every 6 months and a genuine path to a permanent role.What's it like to work hereEver since Futurice was founded, we’ve focused on creating a workplace people genuinely enjoy, Mondays included. We’ve built a welcoming culture where trust, kindness, and well-being matter as much as great work. Our atmosphere is open and warm, whether you’re in the office or working remotely. You’ll quickly feel part of the community where coffee chats, virtual fikas, or after-work hangouts happen naturally.Because our culture is shaped by all of us, every day, you’ll have an opportunity to influence how we work, connect, and evolve as a community. Across countries, teams, and time zones, everyone brings their own character, helping shape how we work, connect, and evolve together.At Futurice, new joiners aren’t expected to fit into a mold. Come as you are, whatever your background. We believe in the power of different perspectives, and diversity is a key part of our success at delivering customer value when they trust us with some of their most challenging and inspiring challenges. You can read more about our DE&I commitment here.Please note: Unfortunately we won’t be able to offer visa sponsorship for this role.