Agent jobs in United Kingdom

Recruitment Incentive: Applicants may be eligible for a $40,000 recruitment incentive in accordance with regulatory requirements. Click apply for complete details on the recruitment incentive details and eligibility. At their core, those who join the Secret Service are courageous, intelligent, strong and determined. A diverse team capable of balancing our investigative mission and fulfilling our protective legacy. Proven to be worthy of trust and confidence. Be tomorrow's Secret Service. During the course of their careers, special agents carry out assignments in both investigations and protection and may be assigned to multiple duty stations throughout the U.S. and abroad. Duties include: • Providing protection for various protectees., • Conducting criminal investigations pertaining to financial obligations of the United States., • Planning and implementing security designs for National Special Security Events. This is no ordinary job, and our special agents are no ordinary individuals. Show us you have the talent and background we need, and we'll show you the rewards that come with being a special agent in the U.S. Secret Service. We invite you to become part of our elite team. Explore a career that will take you to new heights while you serve your country with honor, distinction and pride. Requirements • U.S. citizenship is required, • Possess a current valid driver's license, • Carry and use a firearm. Maintaining firearm proficiency is mandatory., • Be at least age 21 at the time of application and less than age 37 at the time you receive a conditional offer of employment, unless you have previous service in a Federal Civilian Law Enforcement position covered by special law enforcement or firefighter retirement provisions, including early or mandatory retirement. Applicants with veteran's preference must receive a conditional offer of employment prior to reaching age 40 to continue in the application process., • You must obtain a Top Secret Clearance and retain it during your career., • Possess uncorrected visual acuity of no worse than 20/100 binocular, possess corrected visual acuity of 20/20 or better in each eye., • Hearing loss, as measured by an audiometer, must not exceed 25 decibels (A.S.A. or equivalent I.S.O.) in either ear in the 500,1000 and 2000Hz ranges., • Submit to a drug test prior to your appointment and random drug testing while you occupy the position., • Complete 13 weeks of intensive training at the Federal Law Enforcement Training Center(FLETC) in Glynco, GA and 18 weeks of specialized training at the James J. Rowley Training Center in Laurel, MD., • Sign a mobility agreement stating your willingness to accept assignments anywhere within the United States and overseas., • Certify that you have registered with the Selective Service System or are exempt from having to do so, if you are a male applicant born after December 31, 1959.

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 Consulting 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 taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience leading technical discovery sessions with customers.\n, • Experience architecting AI systems on cloud platforms (e.g., GCP).\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 "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Ability to communicate in French, German or other European language (e.g., Spanish and Italian) fluently to support client relationship management in this region.\n, • Ability to travel regionally to engage with local stakeholders and customers.\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 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 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 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 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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Client360 is one of JPMorgan Chase Commercial & Investment Bank’s strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. \n Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation. \n Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows. \n Job Responsibilities \n\n • Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.\n, • Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.\n, • Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.\n, • Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.\n, • Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.\n, • Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.\n, • Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.\n, • Supports foundational business processes that enable Client360 through AI-driven solutions.\n, • Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.\n, • Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.\n, • Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.\n, • Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.\n\n Required qualifications, capabilities, and skills \n\n • 5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.\n, • Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.\n, • Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.\n, • Experience supporting change within organizations and managing stakeholders across multiple functions.\n, • Track record of contributing to large-scale AI integration and analytics projects.\n, • Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.\n, • Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.\n, • Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.\n, • Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.\n, • Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.\n, • Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience working in a highly matrixed, complex organization.\n, • Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.\n, • Bachelor’s degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.\n, • Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.\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 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 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 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 Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n Spain: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 6 years of experience with software development using Python or similar coding languages.\n, • Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).\n, • Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.\n, • Experience developing and deploying multilingual natural language processing models.\n\n Preferred qualifications: \n\n • Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.\n, • Experience in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection.\n, • Experience with troubleshooting live, high-traffic systems during critical windows.\n, • Ability to trace conversation IDs across microservices to identify and resolve failures in real-time.\n\n Responsibilities: \n\n • Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Own the delivery of the Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized and production ready for [top customer / industry priorities].\n, • Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.\n, • Implement critical infrastructure including rate limiting, error handling, and regional failover strategies; develop monitor systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales.\n, • Drive product feedback loops based on deployment experiences and contribute to the broader community through whitepapers, hackathons, and technical blogs.\n

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Process and Policy Manager(12-month FTC open in London, Sunderland and Amsterdam)Ready for a challenge? \n We’re a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. \n About this role \n An exciting opportunity to influence and evolve our customer service strategy and drive operational excellence, including process, policy and behavioural change. The focus is on making real life operational improvements to drive efficiencies for our customers, restaurant partners and our business. You will be accountable for our processes, policies and strategic roadmap delivering measurable KPI and experience improvements. \n The role will include leading a team of process and policy specialists to deliver the pipeline of operational improvements needed to hit our annual KPI targets and longer term vision. You will work closely with Sales, AM’s, P&T, WFM and CS leadership teams to identify the priorities and then engage our Portfolio & Change specialists to ensure initiatives are prioritised and delivered into the Operation effectively. \n Strong stakeholder engagement is essential as you will be engaging with global cross functional leadership teams to provide regular updates and also shape what our strategy will look like. \n The scope of work will vary from local CI opportunities to drive experience, quality, engagement and cost efficiencies through to larger strategic programmes & projects. \n These are some of the key ingredients to the role: \n\n • Recommend opportunities relating to our global policies and processes that guide agent interactions with our Customers, Restaurants, Grocery and Delivery Partners\n, • Responsible for the input into the design of channel and contact strategy across all Lines of Business, including the use of technology and personalisation capabilities. \n, • Supports the embedding of a culture of continuous improvement through engagement and best practice sharing across all levels of the CS organisation. Including senior stakeholder insights forums to share knowledge and recommendations widely\n, • Proactively address problem areas and improve efficiencies meeting business goals and timelines with focus on optimising E2E journeys. \n, • Work closely with other JET teams (e.g. Product, Tech, delivery ops, Sales) covering all markets to ensure joined-up policies and processes are developed and implemented in a consistent way with local market nuance where required. \n, • Use data and insights to help drive decision making and shape future priorities and opportunities. \n, • Lead a team of specialists - providing direction, support and growth opportunities, fostering a collaborative and high performance work environment within the team\n\n What will you bring to the table? \n\n • CS experience is vital. Ideally within a tech based company.\n, • Proven ability to identify process improvement opportunities and fix them. \n, • People leader who is a champion of development and engagement. \n, • Analytical with experience using data to drive decision making.\n, • Able to take a lead and develop projects that cut across multiple departments. \n, • Will be able to command respect and be able to influence a range of stakeholders with a key focus on building effective and impactful working relationships.\n, • Must be able to blend strategy with pragmatism and flex according to situation and priorities.\n, • A base knowledge of business improvement and CI tools, techniques and approaches to coach and mentor a team.\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 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-MH2

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 an Agentic Marketing Specialist, you will work at the AI-driven marketing, helping the team deploy AI-powered agentic workflows, applying emerging tools and approaches to traditional marketing way of working. You will define and monitor agent behaviors, curate our shared marketing skill library, and maintain the context layers that keep our agents accurate (e.g., brand and product guidelines). You will collaborate in sprints with Product Marketing Managers to safely deploy agents, serving as the bridge between marketing goals and modern generative AI capabilities built by central MarTech and Engineering teams.Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 1 year of experience in growth, performance, direct response, social, digital, cloud, or events marketing.\n, • Experience working cross-functionally with various stakeholders and teams.\n\n Preferred qualifications: \n\n • Experience building and maintaining semantic context graphs or taxonomies to ground LLM outputs.\n, • Experience working within agile or sprint-based frameworks to deliver technical marketing solutions.\n, • Understanding of agentic system architectures and the utilisation of skills and context to produce accurate output.\n, • Demonstrated ability to translate complex technical architectures into actionable business workflows for non-technical stakeholders.\n\n Responsibilities: \n\n • Assist in configuring and maintaining the technical pipelines required to run automated, context-aware marketing workflows across core scaled business programs. These workflows will be powered by first-party tools including Antigravity, Gemini Enterprise, and Vertex AI.\n, • Help build and curate our shared Skill library by drafting prompt chains and testing tool-calling capabilities that enable agents to execute tasks like content localization, asset generation, and conversational analytics.\n, • Collaborate with Product Marketing Managers (PMMs) to map organizational marketing knowledge into structured schemas, helping maintain the EMEA Ads Marketing Context Graph and brand guidelines.\n, • Participate in changing sprints alongside marketing partners to prototype agentic solutions for high-priority workflows, ensuring configurations align with team templates and best practices.\n

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 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 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 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 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 Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n Personal loans are the fastest-growing consumer credit product in the US - originations increased 26% last year alone to a record high. Americans are actively seeking cheaper, faster, more transparent alternatives to credit card debt and traditional bank loans. \n Having built a market-leading, profitable business in the UK, Lendable launched US Personal Loans in 2022. Four years of building credit models, customer journeys, operational infrastructure and nearly $500m in originations - and the foundation is set. What comes next is the exciting part: aggressive growth into the largest lending market in the world. \n We're hiring a Product Manager to own multiple product areas to support this expansion - defining strategy, shipping features, and driving outcomes end-to-end. \n What you'll be doing \n This isn't a "write tickets and attend standups" PM role. You'll own real problems such as: \n\n • \n Getting our proprietary credit models into production - working with data science to turn research into real lending decisions \n • \n Designing and personally building automations that make our operations team dramatically more efficient \n • \n Using data to ideate the most valuable initiatives that could improve credit quality, reduce losses, help the customer, or grow volume \n • \n Figuring out how best to use LLMs to intelligently aid with customer service, servicing, collections \n • \n A/B testing customer journeys from application through to servicing - finding what actually moves conversion, satisfaction, and repayment \n • \n Improving the post-origination experience - payments, customer support, and everything that happens after a loan is funded \n • \n Leading the team, aligning and motivating everyone around you, continuously improving the tools and processes we use to deliver at speed \n\n Your team \n You'll report to the Head of Product and collaborate closely with the Managing Director of US Loans. You'll join three other PMs and work most closely with: \n\n • \n ~14 engineers (mostly backend), split across London and Europe \n • \n A data science team (2–3 people) building credit and pricing models \n • \n A credit risk team (~4 people) - some of your closest collaborators \n • \n A growth team (1-2 people) focused on acquisition \n • \n Operations agents - you'll build the tools that make their work better \n\n The team spans our London office, European remote engineers, and our Arlington, Virginia office near DC. \n AI at Lendable - we're serious \n We want to build the most AI-forward financial services company in the world. \n Our PMs don't just manage products. They use AI to push the boundaries of what one person can achieve. Today, PMs at Lendable write python and SQL to generate analytical insights that used to need teams of analysts. They commit PRs to production for straightforward features. They build their own agent workflows to automate repetitive work. \n The PM role here is genuinely expanding in all directions, and we expect you to be excited about this. You've been tinkering already - side projects, personal agents, AI-assisted analysis, building tools with Claude Code or similar. You don't wait to be told what AI can do; you've been finding out yourself. \n If you want to work somewhere that treats AI as a force multiplier for ambitious people - not a bullet point on a slide deck - this is it. \n What we're looking for \n\n • \n 3+ years in Product, Strategy, or Analytics; at least 1 in a PM role \n • \n 1+ years in fintech, financial services, or a strong grasp of lending and credit \n • \n You’re a highly curious, systems thinker who connects dots and thinks through end-to-end impact \n • \n You've built with AI - agents, workflows, code generation, analysis. Show us what. \n • \n Track record of shipping products that moved real business metrics \n • \n Very comfortable with data, analysis and SQL - you know what questions to ask, and you answer them yourself \n • \n Bonus: high-growth startup or scale-up experience \n\n Don’t worry if you don’t quite meet all of these criteria, we’d love to have a chat with any great candidates! \n Your objectives \n\n • \n You break complex problems into shippable pieces \n • \n You decide under ambiguity and own the outcome \n • \n You communicate crisply - to the MD, to engineers, in a spec \n • \n You build cross-functional relationships and pull the right people together \n • \n You move fast, default to action, and course-correct when needed \n\n Compensation \n\n • \n Strong base salary benchmarked to market, scaled to your experience and level \n • \n Equity vesting over four years. Lendable has been profitable since 2017 - one of very few fintechs globally that can say that - and is building towards what comes next. \n\n Interview process \n We respect your time and move quickly: \n 1. Intro call (remote) - 30 min with our talent team (~Week 1) \n 1. Product chat (remote) - 45 min with the Head of Product to discuss your background and how you think about product (~Week 2) \n 1. Take-home exercise (remote) - a practical product challenge in your own time, followed by a video debrief (~Week 2-3) \n 1. Final round - typically CPO, US Loans MD, and Engineering Manager, Head of Product (~Week 3) \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

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 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 Do you get more excited by a vague problem than a fully-specced one? Are you the person who's already built something with AI before anyone asked you to? Third Bridge is creating a brand-new AI function — and you’ll be one of the first! \n These are founding roles. You'll be embedded with business teams across our global organisation — understanding their workflows, identifying automation opportunities, building solutions that genuinely change how people work, and making sure those solutions stick! \n What You'll Do \n You'll sit at the heart of a fast-moving, deliberately exploratory new team, working across revenue, operations, and everything in between: \n\n • Discover, map, and build: You'll embed yourself with business units, get under the skin of their daily workflows, identify where AI adds real value (versus where traditional code or P&T support is the better answer), and then build and deploy the solution — hands-on, sleeves rolled up.\n, • Make it stick: You won't throw solutions over the fence. You'll actively train internal teams so they can own, iterate, and develop agents themselves — your goal is to make them less dependent on you over time, not more.\n, • Monitor and maintain in production: You'll define success KPIs for every agent you deploy and proactively track performance as models (e.g. Claude) update or data structures evolve. Problems get caught by you, not by clients.\n, • Govern as you go: You bake compliance and risk controls into your builds from day one — not as an afterthought. You'll work alongside Compliance, Legal, and Risk to ensure every solution is approved before it goes anywhere near a client.\n, • Build the knowledge base: Your prompts, playbooks, and best-practice documentation will form the reusable library that the whole team learns from.\n\n What You'll Bring \n You bring a balance of technical experience and genuine commercial curiosity. In this role, if you only talk about the technology or only talk about the business outcome, that's a flag — you do both instinctively. \n\n • Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs — agents that shipped, workflows that changed, problems that got solved.\n, • Business analysis instincts: Before you write a single line of a prompt, you ask "what's actually broken here?" Your experience mapping processes and structuring problem statements means you build the right thing, not just a technically impressive thing.\n, • Technical foundations that match your level: For senior hires, your toolkit includes Python, RAG, API integrations, and agent architecture. For mid-level hires, your learning trajectory and intellectual curiosity matter as much as your current depth.\n, • Communication that bridges the gap: You can explain hallucination, context windows, and bidirectional encoding to a VP with no technical background — clearly, confidently, and without condescension. The training element of this role is as important as the building element.\n, • Pragmatic quality obsession: You favour shipped-and-good over perfect-and-delayed — but you don't ship outputs you don't understand or can't control. That's the balance this role requires.\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 • Build from zero: This function doesn't exist yet. You'll help define the tools, the standards, and the culture of AI at Third Bridge — and your fingerprints will be on it permanently.\n, • Variety that actually challenges you: Third Bridge operates across multiple business units and global markets. No two projects are the same — you'll be solving genuinely different problems every few months, not repeating the same build in a different coat of paint.\n, • Work with people who are genuinely excited: You'll report into an AI Lead with real strategic vision, work closely with a P&T team that sets strong technical frameworks, and partner with business leads who are already enthusiastic adopters — not sceptics you need to convince.\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 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 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 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 At Wise, we're on a mission to build money without borders — instant, convenient, transparent, and eventually free. For businesses, that journey begins with verification (KYC), and getting it right is one of the highest-leverage things we do: every business we verify smoothly gets faster access to the financial services they need to grow, and every decision we make well keeps the financial system safer for everyone who relies on it — a small business getting paid on time, a migrant worker sending money home, a nonprofit moving funds across borders. There's a less visible side of this too: money launderers, fraudsters, sanctioned entities and organised crime networks actively try to exploit these same rails, and the harm they cause lands hardest on the people with the fewest defences against it. Getting Business KYC right is how we keep the door open for the first group and quietly close it on the second — and in this role, you'll be directly shaping that, globally. \n Job Description \n We're looking for an Engineering Lead to manage the Platform team within the Business Onboarding Verification (BOV) organisation — based in London. This team owns the platform rails that Business verification is built on; the sister team (BOV Global) uses those rails to ship customer-facing journeys and agent tooling. There are three organisations in the wider squad — Business Onboarding Verification, Personal Onboarding Verification, and Wise Platform Verification. \n The scale we operate at \n\n • \n In FY2025, 15.6M people and businesses used Wise; we onboarded over 5.9M new customers (~500K/month) and moved £145B across borders (~£400M/day) across 160+ countries and 40+ currencies. \n • \n Our onboarding decisions gate ~£25B/year in cross-currency volume. \n • \n Verification is on the critical path for every new signup and for ~10 product teams across Wise that build on our rails today. \n\n Our verification systems are not supporting tools — they are core production infrastructure that protects customers, enables growth, and must stay reliable under constant change in regulations, policies and evolving threat patterns. \n The team you'll lead - Verification Platform \n You will lead the Verification Platform (under BOV) team in London — a cross-functional engineering team whose mission is to provide the BOV platform (Onboarding Platform for business, requirement evaluation, collection, review, unified vendor integrations, repapering rails) that lets BoV Global and regional teams iterate safely and quickly on business verification without rebuilding plumbing. Concretely, this team owns three work-streams: \n\n • \n Onboarding Platform (for business) — modelling Business requirements as configuration-as-a-service, per legal-entity type (Ltd, LLC, Sole Trader, Partnership, Corp), with versioned rules and repapering / refresh rails so a policy change is a config choice, not a multi-quarter project. \n • \n Review tooling platform — the review surface on which Global (and regional teams) build their review flows; the foundation that makes AI-assisted review and review automation measurable and safe to roll out. \n • \n Unified Vendor Integrations — one observable, retryable, swappable gateway for registry, adverse media, website signal, Acceptable Use Policy and Business Onboarding data vendors, replacing today's point-to-point integrations. \n\n Your mission \n As the Engineering Lead for BOV Platform, you will: \n\n • \n Lead, coach and mentor a cross-functional team of engineers — supporting their growth, well-being and performance, and empowering them to do their best work. \n • \n Own the technical roadmap for the BOV platform — make sure it addresses real reliability, security and scalability concerns of the Business verification stack. \n • \n Partner deeply with BOV Global, Personal Onboarding, Wise Platform Verification and Mitigation Handling so the platform serves real product needs — not what the platform team thinks the platform should be. \n • \n Be an active contributor to delivery. Support day-to-day execution, get hands-on when the team absolutely needs it, and stay in touch with the technology stack — leading by example. \n • \n Own the health and productivity of the team, fostering a culture of ownership, transparency, bottom-up decision-making, collaboration and continuous improvement — the way Wise engineering works. \n • \n Own operational excellence. Ensure appropriate on-call rotas, SLAs, documentation and observability for platform services; run incidents in your area of ownership and turn each into a durable fix. \n • \n Collaborate globally with engineering leads across Global KYC and Onboarding (London, Tallinn, Budapest and Hyderabad) and the wider Wise engineering community. \n • \n Run the engineering rituals of the team so we stay agile and predictable in product development. \n\n Why this is an exciting problem \n Picture a pharmaceutical company incorporated in Singapore, with one shareholder living in Dubai, trading in the UK and Singapore. In one signup, that business touches at least four regulatory perimeters — Singapore, UK, UAE for the shareholder, plus industry-specific controls for pharma (enhanced due diligence, sanctions, source-of-funds). Our job is to work out — in real time — exactly what each regulator needs, verify it against the right sources, and hand the customer a signup that feels effortless. Now scale that across 160+ countries and the millions of businesses we have. BOV Platform is building the framework that makes this possible without a new (or at most minimal) codebase per market, and the interesting problems stack up: \n\n • \n Configuration-driven, versioned rules at scale. How do we express "what KYC do we need for entity type × country × industry × partner × risk tier?" as data — hot-reloadable, auditable, and safe to change weekly — while giving regulators a clean audit trail of which version passed which customer? \n • \n Distributed decisioning under real-world latency. A single verification decision fans out to 10+ internal services and external vendors (registry lookups, sanctions, PEP, document verification, ML models). Sagas, idempotency, timeouts, and graceful degradation all matter — because "we couldn't reach the sanctions provider" isn't an acceptable customer experience. \n • \n Consistency vs. availability on the KYC decision path. The same customer hits us from web, mobile and partner APIs concurrently. Where is strong consistency non-negotiable (a compliance-gated transfer) vs. eventual consistency fine (background re-screening)? How do we avoid decision drift across regions and entities? \n • \n Event-driven re-evaluation and repapering. Rules change; a country updates its policy; a customer's risk profile shifts. How do we re-decide retroactively across millions of customers without stampeding downstream systems or ops queues? \n • \n ML/AI in the loop — safely. Where does automation genuinely help (document classification, risk scoring, agent copilots), where does it not, and how do we ship it with safe fallbacks, clear observability and a human review path that doesn't become the bottleneck? \n\n That's the problem your team will help solve — with real regulatory teeth, real customer impact, and enough platform surface area to keep senior engineers engaged for years. \n Qualifications \n A bit about you \n\n • \n You have proven experience leading and mentoring software engineers, including managing performance, well-being and growth, and handling difficult situations constructively (360 feedback, calibration, performance reviews). \n • \n You have built and led platform / infrastructure teams whose customers are other engineering teams — you know how to say no, how to prioritise for leverage, and how to keep a platform from turning into a bespoke-request queue. \n • \n You have solid Java (17+) knowledge and hands-on experience with Spring / Spring Boot, and you're happy to stay hands-on when the team needs it. \n • \n You have strong system-design skills with real experience of distributed, high-throughput, resilient services — event-driven architectures, sagas, idempotency, orchestration vs. choreography trade-offs. \n • \n You have experience working with relational and non-relational databases, query optimisation and schema design. \n • \n You have led the design and delivery of complex engineering solutions and understand their broader impact on business outcomes — including trade-offs between short-term product wins and long-term platform health. \n • \n You approach challenges with a strong product and customer mindset, prioritise customer needs (both external customers and the internal teams you serve), and make data-driven decisions. \n • \n You have excellent communication skills — you can articulate complex technical concepts to technical and non-technical audiences, and are comfortable working across geographies and time zones. \n • \n You show strong ownership and accountability, are able to operate beyond a purely technical scope, and act as an enabler for the extended team. \n What you can expect as an Engineering Lead at Wise \n We don't measure seniority by years of experience, but by the impact you create and the complexity of problems you help solve. You will experience leading a product engineering team first-hand — one of Wise's unique strengths. As an EL1 at Wise, you will: \n • \n Lead a cross-functional platform team, with a clear scale-up path as BOV Platform's remit grows (requirements, review platform, vendor gateway, repapering). \n • \n Own the technical roadmap and vision for your team and contribute to the product roadmap and vision for BOV. \n • \n Propose ideas to improve and grow the BOV platform; work with stakeholders (BOV Global, Personal Onboarding, Wise Platform, Mitigation Handling, Risk & Compliance) to build conviction to unblock opportunities. \n • \n Build strong relationships with the sister BOV Global crew and with the wider Global KYC and Onboarding squad across London, Tallinn, Budapest and Hyderabad. \n • \n Embrace long-term ownership of projects while training other engineers to reduce single points of failure; identify gaps and plan ahead for hiring. \n • \n Be active in architecting and designing services that allow for iterative delivery and future scaling — through feedback and reviews. Get hands-on when the team absolutely needs it, to stay in touch with the technology stack. \n • \n Collaborate closely with product, analytics, compliance and operations to ensure smooth and effective delivery. \n\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 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

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 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 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 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 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 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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Client360 is one of JPMorganChase Commercial & Investment Bank's strategic pillars, building the future of our business and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. \n Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Associate, you will help drive the build and day-to-day operation of agentic AI solutions, enabling intelligent automation across Client360. You'll work closely with product, architecture, engineering, platform operations, and data operations teams to implement agent-led workflows and ensure they are scalable, reliable, well-controlled, and measurable. \n This role is suited to an engineer who can independently translate intent into working software, proactively improve delivery quality, and reduce the burden on senior team members by understanding the technical requirements without extensive explanation. \n Job responsibilities \n\n • Build and deliver software that enables agentic AI operations for Client360 (e.g., services, workflow components, integrations, automations, internal tools), working within established platform standards.\n, • Partner with architecture and engineering leads to implement the target-state Agentic AI workbench and integrated control environment, including connectivity patterns, orchestration hooks, and evaluation/monitoring integrations.\n, • Own small-to-medium engineering deliverables end-to-end: requirements clarification, design approach, implementation, testing, release, and post-release support.\n, • Contribute to code reviews and quality gates; proactively identify broken or risky changes and either fix them or propose specific remediations.\n, • Support operational readiness by contributing to runbooks, instrumentation/telemetry, dashboards/alerts (where applicable), incident learnings, and ongoing production hygiene.\n, • Contribute to CI/CD and release practices by working with automated build/test pipelines, deployment workflows, environment promotion, deployment verification, and rollback readiness.\n, • Help coordinate integration with platform and data operations teams to pivot workflows into agent-led operations while maintaining reliability, auditability, and a strong user experience.\n, • Support risk/control-aligned delivery by contributing to traceability and evidence (requirements â build â deployment â monitoring), in partnership with relevant SMEs and control functions.\n, • Assist in establishing and tracking KPIs (stability, adoption, time-to-value, automation effectiveness) and using data to drive continuous improvement.\n, • Collaborate with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency, adoption, and continuous improvement of agentic AI solutions.\n\n Required qualifications, capabilities, and skills \n\n • 2 - 4+ years of real-world software delivery experience as an engineer (growth engineering, product engineering, full-stack development, backend, or platform), including shipping to production and supporting what you ship.\n, • Demonstrated ability to operate with minimal technical hand-holding: understands technical requirements quickly and can independently implement fixes and improvements with good judgment.\n, • Hands-on experience using AI coding assistants in day-to-day development (e.g., GitHub Copilot and/or Claude Code) to accelerate delivery, with an understanding of their limitations and the need for rigorous review/testing. (Use of any specific tool must align with JPMorganChase-approved tooling and policy.)\n, • Strong engineering fundamentals: version control, code review practices, testing strategy, debugging, and operational excellence habits.\n, • Familiarity with Continuous Integration and Continuous Delivery (CI/CD), including automated build/test pipelines, deployment workflows, release hygiene, and safe change practices (environment promotion, rollbacks, and deployment verification).\n, • Strong communication and collaboration skills, with the ability to work effectively across product, architecture, engineering, and operations teams and to explain technical concepts to non-technical stakeholders.\n, • Working knowledge (or strong willingness to learn) of delivery in regulated environments, including secure SDLC practices, data governance, logging/monitoring, and operational risk considerations.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience building or operating AI-enabled systems (agentic workflows, orchestration frameworks, LLM-enabled automation) and/or observability for AI/automation in production.\n, • Experience working in a highly matrixed, complex organization and/or within a financial institution.\n, • Degree in Computer Science, Engineering, or a related field is beneficial, but is not a substitute for hands-on engineering delivery experience.\n, • Experience ensuring customers and stakeholders are engaged and positive about delivered solutions through strong rollout, enablement, and feedback loops.\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 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 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 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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Director of AI/ML within the Commercial and Investment Bank, you will set the vision and lead the enterprise portfolio for agentic AI that automates and optimizes complex business workflows at scale. You will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systems—leveraging LLMs, retrieval-augmented generation, and modern agent frameworks—while instituting governance, safety, and reliability standards and tracking measurable business outcomes. \n Job responsibilities \n\n • Architect, develop, and productionize autonomous and assistive AI agents to streamline and enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries.\n, • Design and implement robust evaluation frameworks to systematically assess and measure the performance of AI agents across key operational metrics.\n, • Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations.\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, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces (voice, chat), and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required qualifications \n\n • \n MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. \n • \n Significant proven experience building and deploying AI applications in large scale production environments. \n • \n Experience managing data science teams and couching team members \n • \n Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn). \n • \n Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK). \n • \n Experience with generative models (transformers, GANs/VAEs; diffusion models a plus). \n • \n Strong understanding of data preprocessing, feature engineering, and evaluation techniques. \n • \n Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). \n • \n Strong communication skills for both technical and non-technical audiences. \n\n Preferred qualifications \n\n • \n Experience fine-tuning small language models (SLMs) with LoRA, QLoRA, DoRA; quantization and distillation a plus. \n • \n Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. \n • \n Experience with distributed computing, data sharding, and performance optimization. \n • \n Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. \n • \n Demonstrated experience in financial services, particularly investment 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 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.

P3 Housing has an exciting opportunity for someone to join our team as a Property Manager covering our property portfolio in Gloucestershire, London and South Warwickshire. As the Property Manager you’ll play a key role in establishing and maintaining relationships with landlords and letting agent

The National Youth Orchestra is the UK’s leading organisation championing orchestral music as a powerful agent for teenage development.We activate teenagers’ confidence, optimism and skills to play their part in the world today, through performing and sharing extraordinary music.We are looking f

\n \n \n \n Do you have experience collecting debt out on the field? Or do you have experience working as a police officer and are looking for a change? If so, then we have the job for you! \n Our client is one of the leading debt resolution companies in the UK and are currently expanding! Theyre looking for field based debt collection agents to join their growing team! \n \n Benefits \n \n • An industry leading salary of £34,00...\n \n \n \n \n \n \n \n \n \n \n \n\n \n ZIPC1_UKTJ

Are you a recently Chartered Quantity Surveyor, or a Quantity Surveyor who is on the APC pathway?We are actively supporting a small and award-winning Cost Consultancy find a new motivated Quantity Surveyor to support their Southwest London office. (near Richmond)The Quantity Surveyor will be hybrid working.The Quantity Surveyor's RoleThe Quantity Surveyors will be joining at a crucial time of growth as the business have recently won new projects in the Retail, Industrial and Heritage sectors.All projects are at different stages, so an emphasis of strong understanding at both pre & post contract duties is crucial.Project values will range between £4M - £25M.Key duties such as feasibility studies, cost plans, tender support and then taking all projects through to final accounts.If you are MRICS/Chartered, this will reflect in pay and benefits.The Quantity SurveyorQuantity Surveying background with a consultancyEmployers Agent awarenessUnderstanding of JCT (D&B) contractsCompleted a BSc/MSc Quantity Surveying degreeAlready or wanting to become MRICSAble to lead on client meetings and take full project life cyclePre and post contract knowledgeUnderstanding within the £4M - £25M contract valuesIn Return?£50,000 - £65,000Car/travel allowance on topBonus packageWork from home / flexible conditions27 days annual leave + bank holidays6% Pension contributionPart of the growth planRapid career progressionIf you are a Quantity Surveyor considering your career opportunities, please contact Luke Carroll at Damicor.Ref: 938943LC1Quantity Surveyor / Cost Manager / Cost Consultant / Quantity Surveying / Employers Agent / Project Manager / Project Quantity SurveyorTPBN1_UKTJ

An exciting opportunity has arisen to join an outstanding team where you will play an active role in the delivery of project and professional services to a wide range of public and private sector clients.Our client is a well-established multi-disciplined Construction Consultancy providing consultancy services across both the public and private sectors and are looking for an experienced Building Surveyor to join the Building Surveying Team.Working mainly in the public sector, their team has a broad range of exciting projects including education, residential, public and community buildings. They have strong links with Local Authorities, County Councils and Housing Associations.Good working knowledge of scheduling, specification writing, preparation of tender documentation and contracts and ability to undertake the Contract Administration and Employers Agent duties for a variety of projects in different sectors.The ideal candidate will be experienced in building condition surveys, measured surveys, defect analysis and preparation of formal reports; submission of building regulations and planning applications.Experience of aids and adaptations, party wall matters, DDA audits, auto CAD proficient and CDM regulations would be an advantage.Requirements :The candidate will ideally be qualified to MRICS statusThey should have good communication, management and team working skills.Capable of working on their own initiativeFull clean driving licence and use of their own vehicle (not essential)Benefits:26 days holidays plus bank holidaysStaff profit share (bonus) schemeCompany Pension SchemePayment of professional fees (up to one professional body)Life CoverThey operate a flexible week where currently up to 40% of your working week can be undertaken from home (6 months post probation).Please Note:Due to the high volume of CVs we receive it is not viable for us to respond to individuals. If you have not received a response within 7 days then please kindly assume your application has been unsuccessful in this instance.TPBN1_UKTJ

F, P & A LEADRendall & Rittner Competitive Hybrid - London (Vauxhall)ROLE OVERVIEWYou will play a pivotal role in shaping financial insight and decision-making across Rendall & Rittner, part of the Odevo Group. Sitting within our central finance team, you will turn data into narratives that inform strategy, improve performance and support leaders across operations, client services and technology.Working in a hybrid pattern from our Head Office at 13B St George Wharf, London, SW8 2LE, you will collaborate closely with finance and non-finance stakeholders. You will build robust models, deliver clear reporting and provide challenge and guidance that helps us invest wisely and serve our residents and clients brilliantly.ROLE EXPECTATIONSYou will spend your days building, refining and maintaining forecasts, budgets and dashboards, translating complex data into clear insights and recommendations. You will partner with budget owners to track performance, understand variances and drive actions, while continuously improving processes and tools for speed, accuracy and impact.WHAT SUCCESS LOOKS LIKEForecasts and budgets are accurate, timely and clearly communicated, with assumptions transparent and agreed.Variance analysis goes beyond the numbers, highlighting drivers, risks and opportunities with actionable recommendations.Commercial insight supports better pricing, investment and resource decisions, improving margins and cash flow.Stakeholders trust your reporting, value your challenge and see you as a proactive, solutions-focused partner.FP&A processes are streamlined and automated where possible, reducing cycle times and manual effort.Models, data sources and definitions are well-documented, controlled and easy for others to understand.HOW YOU'LL SPEND MOST OF YOUR TIMEBuilding and maintaining rolling forecasts, annual budgets and long-range plans across key revenue and cost lines.Producing monthly management reporting packs with clear commentary on performance, KPIs and trends.Performing driver-based variance analysis, scenario modelling and sensitivity testing to guide decisions.Partnering with budget owners to track initiatives, challenge assumptions and agree corrective actions.Developing and enhancing financial models, dashboards and data pipelines to improve accuracy and speed.Supporting ad hoc analysis for bids, investments, pricing and strategic projects within the Odevo Group.WHO THIS ROLE IS FORYou combine strong analytical skills with the ability to simplify complexity and tell a clear story.You are commercially curious, always asking why, and focused on turning insight into action.You build positive relationships, communicate confidently and collaborate across finance and operations.You are detail-obsessed but pragmatic, balancing precision with pace and priorities.You take ownership, spot opportunities to improve processes and enjoy working in a growth environment.EXPERIENCE THAT HELPSExperience in FP&A, commercial finance or management reporting within a multi-entity or services business.Strong Excel/Google Sheets skills and familiarity with BI tools and data visualisation.Comfort working with large datasets, building driver-based models and standardising reporting.Exposure to budgeting, month-end performance reviews and stakeholder-facing analysis.Knowledge of property or real estate services is advantageous but not essential.WHAT WE OFFERCompetitive salary, aligned to experienceDiscretionary bonus25 days holiday plus bank holidaysPrivate medical insurance, life assurance and enhanced family leaveFully funded training and professional developmentPaid sabbaticals as a loyalty rewardPension scheme and employee assistance programmeDiscounts across travel, retail, fitness and entertainmentABOUT RENDALL & RITTNERRendall & Rittner is one of the UK's most established and highly accredited residential leasehold property management companies, managing over 90,000 homes nationwide. Founded in 1990 on the belief that property management should be more professional, transparent and customer-focused, those principles still drive how we operate today as a founding partner of Odevo.We are people-led and technology-enabled, investing heavily in our teams, systems and continuous improvement. Our standards are recognised through Investors in People Platinum, regulation by RICS and the FCA, and multiple industry awards, including Property Manager of the Year and Managing Agent of the Year.HOW WE HIREInitial conversation with our talent teamInterview focused on your FP&A toolkit, commercial acumen, modelling and data storytelling, including a practical exerciseWe aim to complete the process within two to three weeks and communicate clearly throughout.INTERESTED?Apply with your CV.All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required.TPBN1_UKTJ

Night Butler Services Agent \n Coming soon to the heart of Mayfair, The St. Regis London marks the brand's prestigious debut in the United Kingdom. This is a destination where history and modernity meet, where the energy of the city is palpable, and where every arrival feels personal. With signature butler service, refined interiors by Richmond International, and an unmatched Bond Street address, The ... \n \n ZIPC1_UKCT

Butler Services Agent \n Coming soon to the heart of Mayfair, The St. Regis London marks the brand's prestigious debut in the United Kingdom. This is a destination where history and modernity meet, where the energy of the city is palpable, and where every arrival feels personal. With signature butler service, refined interiors by Richmond International, and an unmatched Bond Street address, The St. Re... \n \n ZIPC1_UKCT

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