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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 role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing on the label side, building the integrity layer for our label platform. \n Every machine learning model at Wise learns from two core components: features (user signals) and labels (historical tags for activity like money laundering or fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. \n How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe strong engineers can learn and adapt across tech stacks, so our interview and pair programming evaluations are language-agnostic (focused on Python or Java), allowing you to solve complex technical problems in the environment you are most comfortable with. \n What will you be working on?: \n\n • \n Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. \n • \n Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. \n • \n Designing automated audit processes to evaluate and monitor label quality over time. \n • \n Working end-to-end on machine learning model training, evaluation, and pipeline deployment. \n • \n Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. \n\n Qualifications \n What do you need?: \n\n • \n Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). \n • \n Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments. \n • \n ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). \n • \n Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. \n • \n Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior. \n\n Nice to Have: \n\n • \n Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC). \n • \n Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. \n • \n Familiarity with real-time streaming data pipelines (e.g., Kafka). \n • \n Domain experience within Fintech, E-commerce, or fast-scaling tech companies. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + stock equity grants (RSUs vesting over 4 years) + benefits. \n • \n Wise Benefits \n\n Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. \n #LI-AB3 #LI-Hybrid \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 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 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 • ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments\n, • Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement\n, • Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads\n, • Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions\n, • Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls\n, • Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown)\n, • Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments\n, • Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams\n, • Familiarity with Machine Learning and GenAI tools and frameworks\n, • Good knowledge of finance concepts, notably financial analysis\n, • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency\n, • Proven ability to implement AI-powered solutions to solve business challenges\n\n Education \n\n • Bachelor’s or master’s degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience\n, • Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable\n\n Responsibilities \n\n • Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives\n, • Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments\n, • Facilitate quarterly planning and roadmap alignment with engineering and product teams\n, • Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets\n, • Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation\n, • Engage with senior stakeholders across the organization, including analytical and technology teams\n, • Ensure transparency through dashboards, objectives and key results, and performance reporting\n, • Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle\n, • Identify and mitigate delivery risks proactively\n, • Track quality metrics and drive continuous improvement\n, • Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market\n, • Ensure alignment of delivery with product vision and business strategy\n\n About The Team \n Moody’s Ratings’ AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. \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 Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values \n The Role: \n We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. \n This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. \n Requirements \n Key Responsibilities \n\n • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n\n\n, • Implement CI/CD pipelines and ensure high code quality standards\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n, • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n, • Implement CI/CD pipelines and ensure high code quality standards\n\n\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n\n Required Qualifications \n\n • Strong experience with Java 12+, Spring Boot, and microservices architecture\n, • Experience integrating AI/ML solutions into backend systems\n, • Understanding of REST APIs, distributed systems, and database design\n, • Familiarity with SQL and NoSQL databases\n, • Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)\n, • Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes\n, • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)\n, • Strong problem-solving and communication skills\n\n Preferred Qualifications \n\n • Experience with NLP, computer vision, or recommendation systems\n, • Familiarity with MLOps practices and model lifecycle management\n, • Knowledge of event-driven architectures (Kafka or similar)\n, • Experience with DevOps tooling and infrastructure as code\n, • Exposure to Generative AI and large language models\n\n Benefits \n What We Offer: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n Equality & Diversity: \n Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Product Associate - Brokerage \n J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. \n As a Product Associate for Brokerage at J.P. Morgan Personal Investing, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. \n Our Product team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about building investment products. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work 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 Job responsibilities: \n\n • \n Develops and articulates a clear product strategy that delivers meaningful value to customers and aligns with the firm's broader objectives \n\n\n • \n Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap \n\n\n • \n Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition \n\n\n • \n Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability \n\n\n • \n Build strong and collaborative relationships across different departments, including internal teams (e.g. Product and Engineering, Compliance, Operations and Investments) and with our external partners \n\n\n • \n Define and manage a highly organised roadmap and supporting backlog to ensure your team is delivering products that will most positively impact customers and the business \n\n\n • \n Be passionate about the Product Development process, always striving to improve how products are built to ensure teams operate to their maximum effectiveness and efficiency \n\n\n • \n Balances business and technical objectives and translate these as clear priorities for the Engineering team \n\n\n • \n Oversees product development, testing, and release management, ensuring high standards of quality and reliability. \n\n\n • \n Actively participates in agile ceremonies including daily stand-ups, planning meetings, and retrospectives, to drive transparency, accountability and continuous learning \n\n Required qualifications, capabilities and skills \n\n • \n Experience or equivalent expertise in product management or a relevant domain area within financial services or technology \n\n\n • \n Proven track record of successfully building wealth management products, familiarity with brokerage and/or mutual funds end-to-end lifecycle \n\n\n • \n Advanced knowledge of the product development life cycle, design, and data analytics \n\n\n • \n Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management \n\n\n • \n Experience working in the delivery of large, complex digital product initiatives with cross-team dependencies \n\n\n • \n Experience with software delivery best practices, working with technical product requirements and mapping of dependencies, design of minimum viable products, working with multi-country requirements \n\n\n • \n Ability to explain technical issues in a clear way to the business and other stakeholders \n\n\n • \n Ability to analyse and incorporate user needs, business needs, and technical constraints/opportunities into the product development process \n\n\n • \n Be the glue among departments and create shared understanding by translating ideas and concepts into technical or layman's terms \n\n Preferred qualifications, capabilities and skills \n\n • \n Bachelor's degree in engineering, computer science, finance or highly qualitative degree \n\n\n • \n Track record of delivering successful products based on first-principles design, working with data and customer feedback \n\n\n • \n Demonstrated prior experience navigating and working in matrix and complex organizations, collaborating effectively across teams and functions \n\n #ICBCareers #ICBHiring \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. \n The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Talent Pool: While we don’t have an active vacancy for this role right now, we’re always excited to connect with talented professionals. By joining our talent pool, you’ll be among the first we contact when new opportunities open up. If you’re passionate about joining our team, we’d love to hear from you.Ready for a challenge? \n Then Just Eat Takeaway.com might be the place for you. We’re a leading global online food 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 Are you excited about making a difference in a dynamic global online food delivery and grocery marketplace? At Just Eat Takeaway, we're committed to expanding and diversifying our network. We're seeking dedicated Market Activators to join us in connecting with restaurants and grocery partners, ensuring our customers enjoy a diverse range of exceptional dining and shopping options. \n At Just Eat Takeaway, we cultivate a culture of passion and dedication in our sales department. We believe in a 'work hard, achieve results, celebrate successes' ethos, where meeting targets is balanced with enjoying the journey. Our competitive environment drives innovation, empowering all team members to excel. Join our vibrant team and be part of an exciting journey shaping the future of food delivery and grocery services! \n Location: We are currently hiring for opportunities across North London \n These are some of the key ingredients to the role: \n\n • Establish and nurture meaningful relationships with new restaurant and grocery partners, bringing them on board to the Just Eat Takeaway platform\n, • Take ownership of identifying opportunities, negotiating, and signing up partners\n, • Embrace flexibility and independence, making each day dynamic\n, • Provide insights to contribute to team metrics and targets for collective success\n, • Participate in a supportive, collaborative culture, contributing to initiatives for order growth and customer expansion\n\n What will you bring to the table? \n\n • Tailored for individuals kick starting their sales careers or recent graduates\n, • A customer-centric mindset, eager to engage directly with partners\n, • A full, clean, valid UK driving licence and Mandarin Chinese language skills are a must\n, • Exceptional relationship-building skills: enthusiastic, passionate, and able to influence effectively\n, • Solid organisational and time management skills, combined with a natural curiosity and ability to quickly grasp information about your area and its data\n, • Robust problem-solving abilities: adept at finding solutions and navigating challenges\n, • Effective verbal and written communication skills in English, with basic computer literacy\n\n Benefits: \n\n • Flex Your Time! Choose flexible hours & schedule that fit your life \n, • Team Spirit! Join a collaborative team culture where your voice matters \n, • Grow With Us! Enjoy a clear career path & exciting growth opportunities \n, • Drive in Style! Cruise around in a branded Just Eat Takeaway car \n, • Tasty Perks! Get an £81 monthly takeaway spend allowance \n, • More Time Off! 25 days holiday + birthday leave & bank holidays (Plus, buy/sell up to 5 extra days!)\n, • Loyalty Rewards! Extra holidays or cash bonuses after 5 & 10 years of service\n, • Family First! Up to 52 weeks maternity/adoption leave & 6 weeks paternity leave \n, • Top Benefits Package! Private medical & dental insurance, pension contributions & life assurance (4x salary!) \n, • We Care! Full sick pay, volunteering leave & well-being support programs \n, • Extra Perks! Free eye tests, top brand discounts & cycle-to-work scheme \n, • Diversity & Inclusion! Mentorship, wellness programs & global career opportunities \n, • Level Up! Access to world-class training resources to fuel your success \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. 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 colorful selves to work every day. \n What else are we delivering? \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!

hackajob is collaborating with mThree to connect them with exceptional professionals for this role. \n Want to start your career as a C++ Junior Developer? \n Paid graduate training, ongoing support, and opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches). \n Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier-one investment banks and other organizations across a range of industries, from insurance to healthcare to travel. \n What you’ll do: \n As a software developer with mthree, you’ll build complex applications in a global team environment. \n You’ll love seeing the impact you make when code you’ve written launches to the people who need it. If you stay on the lookout for new ways to get better results through software development, you’ll become an asset to your team. \n How the Alumni program works: \n\n • Apply via this job advert.\n, • Complete our assessment process.\n, • Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Focusing on C++ , or other languages depending on which coding languages our clients are looking for at the time.\n, • Join a mthree client for 12-24 months while receiving support and salary increases every 9 months.\n, • The vast majority then convert to permanent employees with the client at the end of the program.\n\n What you’ll learn at the mthree Academy: \n\n • How to design, develop, and test a full-stack application.\n, • How to demonstrate professionalism, including communication skills and personal interactions.\n, • How to explain industry concepts at a high level.\n, • An understanding of monitoring, supporting, and troubleshooting, and how it ties into good development processes.\n\n What you'll need: \n\n • Bachelor's degree in computer science or a related major\n, • 2.2 or higher. We look for potential, not prestige, but it’s important that you enjoy pushing yourself to pick up new ideas.\n, • Solid knowledge of software engineering principles.\n, • Skills in troubleshooting and debugging.\n, • An understanding of the formal SDLC (software development lifecycle).\n, • An understanding of test-driven development.\n, • The right to work without needing visa sponsorship.\n\n What you'll get: \n\n • Fully paid, in-depth, interactive training in small classes with graduates like you. Our training is created and delivered by industry experts who know your field inside out.\n, • A generous graduate salary.\n, • Pay rises every 9 months to reflect your progress.\n, • A flexible benefits package.\n, • Ongoing training and support.\n, • Valuable industry experience. Ultimately, a foot in the door to build your career in an in-demand niche.\n\n How to apply: \n\n • Apply via the form below and tell us a bit about you.\n, • Complete the online assessment (we’ll send you a link by email).\n, • Complete the interviews with our friendly talent team over phone and video.\n, • Lastly, you’ll interview with one or more of our clients.\n\n So you don’t miss out on your dream job, we encourage you to be open to relocating. \n At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion. \n Applicants must be currently authorized to work in the United Kingdom on a full-time basis. The Company will not sponsor applicants for work visas.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 France: €176000 - €180000 (EUR) + 25% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n, • 10 years of experience in technical sales engineering or software engineering with cloud-native architectures.\n, • Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure.\n, • Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators.\n\n Preferred qualifications: \n\n • Direct experience as a startup Founder, Co-Founder, or Chief Technology Officer (CTO) who has successfully built, scaled, and navigated a technical venture through early-stage growth, venture funding, or acquisition.\n, • Experience contributing to the developer community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML.\n, • Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications.\n, • \n Ability to communicate in English and French fluently to communicate in this customer-facing sales role. \n • \n A leader with a track record of working in complex, highly-matrixed, cross-functional environments across countries and cultures. \n\n Responsibilities: \n\n • Engage, onboard, and provide technical advisory to high-potential founders.\n, • Expand our presence in key European technology hubs by designing and leading advanced technical workshops, presenting keynotes at premier developer events, and maintaining a strong professional standing on public developer platforms.\n, • Act as point of contact for founders to navigate Google’s broader ecosystem, securing custom resource allocations and bypassing typical operational friction. Validate architectures, and build technical prototypes or demonstrations of advanced AI capabilities.\n, • Partner closely with Venture Ecosystem teams to lead technical workshops and scale adoption. Coordinate with regional sales and engineering teams to transition accounts.\n, • Act as the liaison between startup founders and internal product, engineering, and research teams. Gather, synthesize, and advocate for critical technical requirements and product gaps, directly influencing our long-term hardware, software, and AI product roadmaps.\n\n For France Applicants: \n Google welcomes people with disabilities.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • \n Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals. \n • \n Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality). \n • \n Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms. \n • \n Establish best practices for secure, scalable, and resilient application design. \n • \n Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies. \n • \n Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices. \n • \n Lead large-scale programs focused on velocity, reliability, and cost efficiency. \n • \n Drive backlog prioritization, technical debt reduction, and vulnerability remediation \n\n To be successful in this role, we’re seeking the following: \n\n • \n Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred \n • \n Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. \n • \n Strong hands-on experience with AI Development tools like Claude CLI, Windsurf \n • \n Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus. \n • \n Strong Java development skills, including experience with multi-threaded and mission critical applications \n • \n Strong Exposure and knowledge of front end technologies such as React and Angular \n • \n Ability to solve ambiguous problems with scalable, innovative solutions. \n • \n Clear communicator who can influence cross-functional partners. \n • \n Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives. \n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at JPMorganChase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful. \n As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end-to-end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high-quality solutions that drive business performance. \n Job responsibilities \n\n • Design, develop, test, and refine data models and analytic prototypes\n, • Solve complex data challenges at the intersection of finance and technology\n, • Support the development of cloud-based data lakehouse solutions for Planning & Analysis\n, • Guide and support data consumers in leveraging data products for analytics and planning\n, • Utilize AI-assisted coding tools to accelerate development and optimize SQL\n, • Identify opportunities to embed AI into Planning & Analysis workflows\n, • Work with diverse data sets to support various Planning & Analysis processes\n, • Collaborate with senior team members on solution design\n, • Inspire innovation and champion change across teams within JPMorganChase\n\n Required qualifications, capabilities, and skills \n\n • Strong analytical and problem-solving skills with attention to detail\n, • Hands-on experience building and prototyping data models to address user needs\n, • Proficient in SQL and Python for data analysis, engineering, and transformation\n, • Relevant experience developing, testing, and refining data models using dimensional and relational approaches\n, • Curious mindset with a drive for continuous improvement\n, • Familiarity with prompt engineering principles and LLM-based tools\n, • Effective communication skills to present data findings and support users\n, • Experience with ETL/ELT processes and architecture in data pipelines\n, • Experience building models for dashboard or cube consumption\n, • Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud\n, • Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline\n\n Preferred qualifications, capabilities, and skills \n\n • Experience with Databricks and notebook-based development\n, • Experience working with financial and workforce datasets\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 Baringa Partners to connect them with exceptional professionals for this role. \n What you will be doing \n\n • Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance\n, • Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure\n, • Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project\n, • Performing maturity assessments across clients’ Cloud/AI environments and recommending improvements\n, • Building ML strategy blueprints and advising clients on the different technology options\n, • Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, philosophies and standards\n, • Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)\n, • Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability\n\n Your skills and experience \n We are seeking passionate and dynamic ML engineers who are excited by building production ML solutions, and keen to take an active part in the growth of the company. We’re looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life. \n\n • Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements\n, • Advanced degree in computer science, mathematics, physics, engineering or related STEM field\n, • Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning\n, • Excellent collaboration and communication skills, both with teams and in client-facing engagements\n, • Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents\n, • Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments\n, • Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design\n, • Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)\n, • Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you\n

hackajob is collaborating with Atos to connect them with exceptional professionals for this role. \n Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. \n With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand. \n A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts. \n About Atos Group \n Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. \n The Opportunity \n This is an exciting opportunity to join our client’s Life and Pensions Centre of Excellence in Edinburgh. Our client is looking for a highly motivated Customer Service Representatives to join their fantastic team within Business Transformation Services (BTS) to support the transformation and future growth of the business within the Customer Service function. \n This is a telephony role in a fast-paced Contact Centre where you will be the first point of contact for all inbound calls. You will act as a liaison, provide product/service information, answer questions and resolve any emerging problems that our customers may face. You will provide a first-class service to all customers, so they receive the right information every time. \n You will receive plenty of support when you become part of the team, including classroom-based training for a period of 6 weeks as well as the opportunity to listen to and take calls with support prior to taking real calls. Your call types will vary from updating contact details and giving policy values to more complex technical queries about legislative change. \n Where Purpose Meets Career: 3 Strategic Selling Points \n Comprehensive Benefits That Support You \n We believe people perform at their best when they feel supported both professionally and personally. Our competitive rewards package, flexible working options, wellbeing initiatives, and employee benefits are designed to help you thrive at every stage of your career and life journey. \n A Winning Culture Built on Shared Behaviours \n Our culture is defined by action, collaboration, accountability, and continuous improvement. We empower our people to make decisions, take ownership, learn from experience, and work together to deliver exceptional outcomes. Our Winning Behaviours create an environment where innovation is encouraged, achievements are recognised, and everyone has the opportunity to make an impact. \n Career Development That Invests in Your Future \n Your growth is part of our strategy. Through structured learning pathways, professional certifications, leadership development programmes, mentoring, and stretch assignments, we provide the tools and opportunities to help you build the skills of tomorrow and accelerate your career progression. We are committed to helping our people continuously learn, adapt, and succeed in a rapidly evolving technology landscape. \n Join us and build a career where purpose, growth, and success come together. \n Responsibilities \n\n • Taking responsibility for end-to-end process of tasks undertaken, ensuring own knowledge of all products and regulatory environment is understood and complied with\n, • Answering incoming telephone enquiries across the full product range, responding to them and fully documenting how they are resolved, ensuring that all communications are handled accurately, adopting the most appropriate method of communication\n, • Retaining relationships with advisors and other business areas\n, • Actively contributing towards the continuous improvement and development of the team, through reviewing procedures to meet expectations of service and conduct and improve own self development\n\n Skills we can’t do without \n\n • Customer Service Experience: You will need to have worked in a customer service role before and financial services experience would be a bonus, but if this is your first role or a career change don't worry as we provide all the training and support you'll need\n, • Client (Customer) Focus: Committed to building excellent, long-term relationships with customers, based on a full understanding of their needs and a dedication to meeting their expectations\n, • Delivery Focus: Dedicated to delivering what is promised, ensuring that results are on time, on budget and to agreed SLAs/quality standards\n, • Team Working: Working together by involving others in goals and plans, sharing knowledge, taking a positive role in teambuilding, and seeking opportunities for cross functional working and collaboration\n, • Communication: Verbal and written; communicating clearly, concisely and with passion to persuade and influence, while also seeking feedback, listening, and demonstrating understanding of others' viewpoints. Excellent and professional telephone manner\n, • Computer Skills: IT proficient and ability to adapt to new systems and processes\n, • Creativity: Identifying effective solutions for clients through selecting the best combination of existing practices and innovative approaches or ideas\n, • Organization: Able to prioritize and manage workload effectively\n\n Qualifications and Desirable Experience \n\n • Energy, Enthusiasm and a willingness to be the best version of you\n, • A genuine desire to help our customers\n, • Working Knowledge of Microsoft Office, including Word, Excel and Outlook\n\n Working hours \n\n • Full time, office-based role working Monday to Friday, 7.5 hour day between 08:30 – 17:45 with a 30-minute lunch break on rotating shifts\n, • You will be contracted to 37.5 hours per week and are not required to work weekends\n, • Part-time hours available upon request\n\n Benefits: \n\n • Pension Scheme - contributions matched up to 10%\n, • Private medical cover\n, • Income Protection\n, • Life Assurance\n, • 25 days paid leave + National Holidays\n, • Flex benefits program\n\n Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. \n Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. \n Choose your future. Choose Atos.

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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of electronic trading technology, where your expertise in C++ and hardware acceleration will make a global impact. You'll collaborate with talented engineers to deliver market-leading solutions that power high-speed trading across global markets. We value creativity, technical excellence, and a passion for continuous improvement. At JPMorganChase, you'll find opportunities for career growth, skill development, and meaningful contributions. Be part of a team that thrives on solving complex challenges and advancing industry standards. \n As an Ultra Low Latency C++ Lead Software Engineer at JPMorgan Chase in the Electronic Trading Technology team, you will design, build, and operate market gateway solutions with hardware FPGA acceleration. You will drive the software development lifecycle, focusing on stability, latency optimization, and continuous improvement. You'll partner with hardware engineering teams to integrate FPGA pipelines with our C++ software stack, ensuring high reliability and operational excellence. Your work will directly impact trading connectivity and risk management applications used by clients and internal businesses. You'll help foster a collaborative, innovative team culture. \n Job Responsibilities: \n\n • Execute creative software solutions across design, development, and troubleshooting.\n, • Design, develop, and test reliable, high-quality C++ code for trading connectivity and risk controls on Unix/Linux platforms.\n, • Implement end-to-end low latency client setups, including production rollout and post-release validation.\n, • Automate remediation for recurring issues to improve operational stability.\n, • Establish and execute test strategies for latency, throughput, and resiliency.\n, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\n, • Lead the development of market access trading and risk management modules.\n, • Participate across the software development lifecycle of electronic trading services.\n, • Collaborate with Application Development, Business Analysts, and Operations teams.\n, • \n Integrate FPGA pipelines with C++ software for deterministic performance. \n\n Required Qualifications, Capabilities, and Skills: \n\n • Proficiency in modern C++ on Unix/Linux with strong multithreading and object-oriented design fundamentals.\n, • Hands-on experience in system design, application development, testing, and operational stability in production environments.\n, • Scripting skills (Python, Perl, Shell) for automating development, testing, and operational tasks.\n, • Advanced understanding of Agile methodologies, including CI/CD, resiliency, and security.\n, • Ability to review and debug code written by others.\n, • Knowledge of low-level TCP/IP and network stack behavior.\n, • Comfort working closely with infrastructure and networking teams.\n, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\n, • Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline.\n, • \n Excellent understanding of software-hardware interaction. \n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Demonstrated experience in low latency design and development using C/C++, including DMA, exchange connectivity, and pre-trade risk systems.\n, • Exposure to FPGA development for financial industry applications, including embedded software and kernel driver development for FPGAs and related systems.\n, • Proficiency with PCI Express, TCP/IP sockets, L1/L3 switches, and integrating C++, Verilog, and VHDL solutions in Linux environments.\n, • Experience implementing and certifying exchange connectivity using FIX, SBE, and native binary protocols, with a focus on low latency order entry, as well as creating and automating test strategies for functional and non-functional requirements in production-like environments.\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 Google to connect them with exceptional professionals for this role. \n The United Kingdom Sovereign Operations team in Google Public Sector delivers, operates and secures private cloud services. We aim to provide the flexibility, reliability, and scalability of public cloud for customers with high security requirements that can only be met in a private cloud environment. We deliver and operate these private cloud deployments for the most critical customers, helping scale, secure and maintain the deployment and working closely with Google product teams to continually improve our technology. \n As a Network Operations Engineer, you will be part of a team of engineers that deploys and operates our private cloud services and underlying networks for critical customers in the UK. You will design and operate reliable and resilient networks, automate changes, implement monitoring, and manage core network components. Your work will bridge cloud native infrastructure engineering and platform networking, focusing on software defined networking within a Kubernetes architecture. You will be the glue that keeps containerized, and cloud-hosted services up and running, responsible for configuring and maintaining cloud platform infrastructure, virtual networking resources, and automation workflows from inception to optimization and will participate in an on-call rotation to ensure incidents can be swiftly resolved. \n Must be a British citizen to meet compliance and security clearance requirements. The office location will be a satellite site in Hampshire, with occasional travel to London. This is an on-site position, requiring a standard five day per week schedule in the office. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Computer Networking, Information Security, or a related technical field, or equivalent practical experience.\n, • 3 years of experience with Linux Systems Administration and kernel level/data plane cloud native networking.\n, • Experience with one or more scripting languages e.g. Python, Bash, Poweshell.\n, • Experience with designing and implementing resilient, secure networks using a wide range of technologies.\n, • Active, or the ability to obtain, a Developed Vetting (DV) UK security clearance.\n\n Preferred qualifications: \n\n • Experience deploying and operating production workloads in Kubernetes.\n, • Experience designing and implementing configuration management solutions to enable network and cloud platform operations (e.g., Ansible, Terraform, or Puppet).\n, • Understanding of the Kubernetes networking model, along with experience debugging CNI plugin (e.g., Cilium) configurations and Service Mesh (e.g., Istio) architectures.\n, • Excellent partner management, follow-through, resourcefulness, attention to detail, and verbal and written communication skills.\n, • Current and active UK Security Check (SC) or UK Developed Vetting (DV) security clearance.\n\n Responsibilities: \n\n • Engage and improve the whole life cycle of secure cloud platform network systems.\n, • Assist Engineering and Operations teams in building an ecosystem of integration, empowering software automation to scale within private/secure networks.\n, • Maintain, secure, and debug cross-cluster communications in an air-gapped kubernetes infrastructure using Cilium for eBPF-based container networking and Istio for microservice communication.\n, • Scale systems sustainably through mechanisms like automation, and evolve systems by implementing changes that improve network reliability, security and performance.\n, • Work cross-functionally to drive Infrastructure as Code and GitOps pipelines, ensuring network configurations are deployed programmatically. Provide highly technical implementation and operational support in customer environments, including guidance on implementation feasibility of cross-product integrations.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning. \n As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. \n Job Responsibilities \n\n • Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases\n, • Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies\n, • Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes\n, • Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems\n, • Evaluate new AI infrastructure technologies and share findings to inform team technical decisions\n, • Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing\n, • Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability\n, • Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions\n\n Required Qualifications, Capabilities, and Skills \n\n • Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience\n, • Demonstrate strong Python programming skills\n, • Design, develop, and integrate RESTful APIs, such as with FastAPI\n, • Build and support ETL and data pipeline engineering workflows\n, • Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines\n, • Design and integrate databases and data models\n, • Apply monitoring practices and understand controls and compliance concepts in production environments\n, • Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences\n, • Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Apply AI and machine learning concepts with a strong interest in applied AI productization\n, • Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology\n, • Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management\n, • Use AWS and tools such as MLflow\n, • Develop front-end capabilities with React or modern front-end development\n, • Apply graph database modeling concepts\n\n Why Join Us? \n Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. \n #CIBAppliedAI \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. \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank. \n The AI team for Corporate and Investment Banking operations is transforming the bank by leveraging the latest advancements in agentic AI and LLMs. \n As an AI Product Manager Lead at the Corporate and Investment Banking operations team, you will leverage your AI and leadership expertise to lead large areas of our AI strategy, guide product managers and engineers through strategy and execution, and drive our most business-critical initiatives to delivery key results. \n Job responsibilities \n\n • Be responsible for defining and driving the AI product strategy for a large area of the bank operations.\n, • Collaborate with executive leaders, including Executive Directors and Managing Directors, from various teams across the firm, to deliver results.\n, • Lead teams of product managers, guiding their work and developing their skills.\n, • Write and own Roadmaps and Product Requirements Documents (PRDs) for our most ambitious early-stage top projects and initiatives.\n, • Stay up to date with the latest AI innovation and agentic practices to ensure JPMC is building with the latest technology.\n\n Required qualifications, capabilities and skills \n\n • Formal training or certification on product management concepts and expert applied experience\n, • Advanced experience in product management or related technical role, driving teams through the entire product development lifecycle (vision, strategy, requirements, execution, launch).\n, • Experience in a company with strong product management culture.\n, • Familiarity with AI model architectures, mostly Large Language Models (LLMs), optimization techniques, such as prompting, context engineering, and fine-tuning, and AI frameworks, such as RAG, MCPs, and agentic pipelines.\n\n Preferred qualifications, capabilities and skills \n\n • Advanced degree in Computer Science, other relevant engineering discipline.\n, • Proven track record of delivering and launching successful products at scale, within time sensitive timelines.\n, • Experience motivating and aligning others at all levels, by creating solid roadmaps and shared sense of purpose.\n, • Experience delivering complex projects, with the ability to take on initiative and have solid outcomes.\n, • Ability to balance detailed, technical guidance with big picture strategy.\n, • Ability to collaborate across organizations and product areas to get things done and comfort with organizational complexity. \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. \n Job Summary \n As an Associate or a Vice President in the Quantitative Trading & Research (QTR) Securities Services and Payments, you will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies for interest rate risk management. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. \n Job responsibilities \n\n • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.\n, • Build up a scalable data architecture to handle the large volume of transaction data\n, • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management\n, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints\n, • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development\n, • Make real-world, commercial recommendations through effective presentations to various stakeholders\n, • Leverage data visualization to communicate quantitative insights to help business decision-making\n, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward\n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc\n, • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application\n, • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python\n, • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience\n, • Passion for learning, sharing knowledge, building collaborations, and getting things done\n\n Preferred qualifications, capabilities, and skills \n\n • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub\n, • You demonstrate hands-on experience in solving sequential decision making problems\n, • Experience in applying LLMs and/or deep learning methods to solve business problems\n, • Experience in working with Cloud and/or HPC environments\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. \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 Google to connect them with exceptional professionals for this role. \n As a part of the UK Security Operations (SecOps) team in Google Public Sector, you will deliver, operate and secure private cloud services. Your aim is to provide the flexibility, reliability, and scalability of public cloud for customers with exceptionally high security requirements that can only be met in a private cloud environment. You will deliver and operate these private cloud deployments for the most critical customers, helping scale, secure and maintain the deployment whilst working closely with Google product teams to continually improve our technology. \n As a Red Team Engineer, you will play a critical role in designing, building, and managing cloud-native security platforms with a strong emphasis on Kubernetes-based environments. You will be at the intersection of security and engineering—developing scalable tooling and automating security controls to enable Red Team activities, Purple Team exercises, and comprehensive attack path reviews. You will build and maintain the platforms necessary for developing and deploying proof-of-concept (PoC) exploits and validations, ensuring detection and response capabilities across cloud infrastructure. \n In this engineering-centric role, you will require deep technical expertise in cloud environments, Kubernetes security, and platform automation. You will work closely with Incident Response, Platform Engineering and Security Architects to ensure that security validation and defensive hardening are seamlessly integrated into infrastructure and operational workflows. Your role will require participation in a rotating on-call schedule outside of core business hours and over the weekend to ensure security incidents and critical operations can be supported. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Information Security, a related field, or equivalent practical experience.\n, • 5 years of experience in security engineering, offensive security (Red Team/Purple Team), or platform engineering roles.\n, • Experience with infrastructure-as-code and GitOps (e.g., Terraform, Helm, ArgoCD) and cloud-native security orchestration.\n, • Experience with Kubernetes security (e.g., workload isolation, RBAC, network policies) and container orchestration.\n, • Experience in scripting and development languages (e.g., Python, Go) for building custom security tooling, automation, and exploit Proof-of-Concept (PoCs).\n, • Active, or the ability to obtain, a Developed Vetting (DV) UK security clearance.\n\n Preferred qualifications: \n\n • Advanced offensive security certifications (e.g., OSCP, OSEP, OSCE, GXPN).\n, • Experience in conducting full-scope Red Team engagements and Purple Team exercises in cloud-native environments.\n, • Experience developing custom exploits, adversary emulation scenarios, or security automation frameworks for internal testing.\n, • Knowledge of cloud-native logging, monitoring, and Security Information and Event Management (SIEM) integration for detecting sophisticated adversary tactics.\n, • Understanding of Kubernetes attack surfaces, including container escapes, privilege escalation, and lateral movement techniques.\n, • Current and active UK Developed Vetting (DV) Security Clearance.\n\n Responsibilities: \n\n • Design, develop, and maintain the automation platforms and tooling required to execute Red Team operations, Purple Team exercises, and comprehensive attack path reviews.\n, • Create and deploy Proof-of-Concept (PoC) exploits and validations to proactively test and harden cloud infrastructure security.\n, • Collaborate with security engineering and platform teams to build scalable security validation frameworks that integrate seamlessly into CI/CD pipelines.\n, • Analyse complex cloud and Kubernetes architectures to identify and document potential attack vectors, mapping them against threat models to prioritise security improvements.\n, • Support defensive hardening efforts by providing actionable insights and telemetry from security validation exercises, ensuring continuous improvement of detection and response capabilities.\n\n Must be a British citizen to meet compliance and security clearance requirements. Office location can either be a satellite site in Wiltshire, or London. This is an on-site position, requiring a standard five day per week schedule in the office

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. \n As a Lead DevOps Engineer at JPMorganChase within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners \n Job responsibilities \n\n • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n, • Develops secure and high-quality production code, and reviews and debugs code written by others\n, • Drives decisions that influence the product design, application functionality, and technical operations and processes\n, • Serves as a function-wide subject matter expert in one or more areas of focus\n, • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies\n, • Adds to the team culture of diversity, opportunity, inclusion, and respect\n, • Coordinates DevOps / Integration release management activities\n, • Monitoring & Management of Plant Capacity & Reporting\n, • Management of Continuous Integration Environment\n, • Third Level Support Production Support\n\n Required qualifications, capabilities, and skills \n\n • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n, • Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java\n, • Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration\n, • CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed.\n, • Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language \n \n\n Preferred qualifications, capabilities, and skills \n\n • AWS experience\n, • Kubernetes\n, • Terraform\n\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \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. \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 Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. \n You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. \n Key Accountabilities / Responsibilities: \n\n • Develop machine learning models and support their deployment into production\n, • Write production quality code that is robust, efficient and maintainable\n, • Contribute to the implementation and improvement of pipelines, tooling and automation\n, • Apply good engineering standards and practices in model development\n, • Monitor performance and contribute to ongoing optimisation of models\n, • Work with colleagues to understand requirements and priorities\n, • Share knowledge, contribute ideas and support a collaborative team culture\n\n\n, • Good understanding of computer science fundamentals, including data structures, algorithms and software design\n, • Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning\n, • Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter\n, • Experience working with SQL and data pipelines to prepare and transform data for model training\n, • Understanding of model evaluation, monitoring and improving performance in a production environment\n, • Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation\n, • Comfortable working with statistical concepts to interpret data and assess model performance\n, • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome\n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1 #LI-HYBRID

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 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 • Understanding of Moody’s NewsEdge offerings and the specific business concerns facing our clients\n, • Strong understanding of software solutions typically utilized in the corporate landscape such as CRMs, ERPs, procure to pay, and lead to cash solutions\n, • Customer facing experience with comfort leading sales calls and engaging directly with clients, product teams, and sales teams\n, • Sales mentality and commercial mindset with a strong drive to win new customers\n, • Demonstrated experience in technical sales including data and SAAS solutions, with exposure to complex sales cycles considered a plus\n, • Proven ability to analyze business processes and workflows, with a knack for identifying efficiency improvements\n, • Interest in learning or experience with Spark, SQL, Python for API development is highly encouraged, but not required\n, • Excellent communication and interpersonal skills, with the ability to engage effectively with both technical and non technical stakeholders\n\n Education \n\n • Bachelor’s degree in Business, Finance, Computer Science, or a related field\n\n Responsibilities \n A Solution Specialist plays a crucial role in driving the pre-sales function for Europe/Africa Territory, designed to help our customers decode risk and unlock opportunity. Solutions Specialists are responsible for understanding news specific workflows and aligning Moody’s solutions to meet their needs, in addition to demonstrating and showing the value of Moody’s solutions through proof-of-concepts, demos and evaluations. Main responsibilities include: \n\n • Support sales colleagues and internal stakeholders to drive the pre sales process from qualification to solution alignment\n, • Conduct in depth analysis of client workflows, processes, and business requirements, including customer meetings and gathering sample data\n, • Understand and map Moody’s solutions to client needs, demonstrating subject matter expertise and alignment to business challenges\n, • Demonstrate the value of Moody’s solutions through product demos, proof of concepts, trial evaluations, and data analysis\n, • Develop custom solutions where required, leveraging Moody’s portfolio of data assets and software solutions\n, • Work closely with product and technical teams to understand architecture, capabilities, and integration across Moody’s offerings\n, • Act as a bridge between clients and product development teams, conveying feedback to support product enhancements and roadmap discussions\n, • This position offers a dynamic work environment, requiring up to 50% travel to engage with clients face-to-face, while also providing the flexibility of hybrid working. \n\n About the team \n Join a collaborative and high-performing team at Moody’s, where you’ll work alongside professionals dedicated to customer success and growth. The team values innovation, cross-functional collaboration, and a culture of continuous improvement. You’ll have the opportunity to make a meaningful impact by driving retention and revenue growth, while contributing to a supportive environment that encourages learning, development, and the sharing of ideas. \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud 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 BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Specialist, Data Scientist to join our Markets team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency. \n \n, • Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives.\n, • Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices.\n, • Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.\n, • Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation.\n, • Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions.\n \n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred.\n, • Proficiency in programming languages such as Python, or SQL.\n, • Strong analytical and problem-solving skills, with the ability to interpret complex datasets and deliver actionable insights.\n, • Excellent communication skills, with the ability to present data-driven recommendations to both technical and non-technical audiences.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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 Google to connect them with exceptional professionals for this role. \n When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. \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 Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n, • 10 years of experience in a customer-facing technical role (e.g., Customer Engineer, Solutions Architect, or Developer Advocate) within the cloud computing industry.\n, • Experience in at least one of the following: Cloud Platforms (e.g., GCP), AI for retail industry usecases, Gemini or related AI Technologies.\n\n Preferred qualifications: \n\n • 3 years of experience in a Technical Sales Engineering Role.\n, • 2 years of experience in the Retail Industry.\n, • Proven ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions.\n\n Responsibilities: \n\n • Manage the technical relationship with customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.\n, • Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.\n, • Test and inspire customers and peers to solve difficult issues with ambitious and novel solutions leveraging a sophisticated set of technical competences.\n, • Recommend migration strategies, enterprise architectures, migration tools, and cloud infrastructure required to successfully implement a complete solution using best practices on Google Cloud.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Write high-quality Python code for front-office Technology Systems.\n, • Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows.\n, • Create alignment with stakeholders, both technical and non-technical.\n, • Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develop secure high-quality production code, and review and debug code written by others\n, • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.\n, • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Add to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years applied experience\n, • Bachelor's Degree in Computer Science or equivalent \n, • In-depth knowledge of Capital Markets and Equity Market Microstructure\n, • Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. \n, • Advanced proficiency in Python.\n, • Strong analytical, quantitative and problem-solving skills.\n, • Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps.\n\n Preferred qualifications, capabilities, and skills \n\n • Hands on experience in Quantitative Trading and/or Market Analysis.\n, • Familiarity and prior experience on KDB/q will be beneficial.\n, • Knowledge of FIX, Market Data, Order Management Systems will be a strong plus.\n, • Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required.\n, • Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial.\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 Google to connect them with exceptional professionals for this role. \n As a member of the Android and Business Communication (ABC) Partner Engineering team, you will be at the forefront of the mobile revolution, driving the global adoption of next-generation communication technologies. \n We act as a crucial bridge between our products and the partner ecosystem. By blending deep technical expertise with strategic relationship management, you will dismantle barriers and accelerate the integration of our services, ensuring a seamless and advanced communication experience for billions of users on Android and beyond. \n This is more than just a role; you are an ecosystem builder, and a key player in defining the future of how the world connects. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).\n, • 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).\n, • Experience troubleshooting technical issues for internal/external partners or customers.\n\n Preferred qualifications: \n\n • Master's degree in Computer Science, Engineering, or a related technical field.\n, • Experience with Node.js, TypeScript, Python, RESTful APIs, OAuth2, JSON-based webhooks, and proficiency in Google Cloud Platform (GCP).\n, • Experience with conversational messaging (e.g. business messaging API or platforms) and familiarity with GSMA standards, SMS/MMS gateways, and telecom signaling.\n, • Advanced proficiency in Consulting, Software system design, and the ability to drive alignment across product, sales, and partner teams.\n, • Understanding of the digital advertising ecosystem and how messaging serves as a conversion channel.\n, • Knowledge of Dialogflow CX/ES, webhooks, and Gemini (Vertex AI) integration for conversational experiences.\n\n Responsibilities: \n\n • Lead end-to-end design of conversational messaging solutions, architecting flows, building chatbots, and integrating agentic conversational marketing experiences.\n, • Serve as the RCS technical expert to guide partners, troubleshoot complex issues, and build scalable solutions that ensure maximum technical adoption.\n, • Manage executive-level stakeholder interactions and secure alignment with clients, partners, and sales during account business planning.\n, • Lead cross-functional efforts and help peers succeed via mentorship, solution reviews, and dedicated support.\n, • Write production-level code and follow engineering best practices (design and code reviews, test coverage). Use scripting languages (such as Python, Node.js) to build internal tools, automate partner onboarding processes, and parse large datasets for troubleshooting.\n

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 As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements. \n\n • \n Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning. \n • \n Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support. \n • \n Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable. \n • \n Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements. \n • \n Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements. \n • \n Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans. \n\n What You'll Bring: \n\n • \n 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work. \n • \n Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing). \n • \n Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes. \n • \n Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans. \n • \n Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought. \n • \n Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams. \n • \n Degree in Computer Science or a related field, or equivalent professional experience. \n\n Even better... \n\n • \n Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. \n • \n Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. \n • \n Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). \n • \n Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers. \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 Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n\n • Design and deliver enterprise-grade machine learning systems\n, • Collaborate with cloud and SRE teams to build robust production architectures\n, • Translate scientific research into scalable ML solutions\n, • Develop and deploy business-critical, data-intensive applications\n, • Implement distributed, multi-threaded, and scalable applications\n, • Build, test, and deploy automated pipelines for ML solutions\n, • Leverage foundational libraries and services for re-use across teams\n, • Apply best practices in software engineering and computer science\n, • Utilize MLOps tools for versioning, reproducibility, and observability\n, • Align ML problem definitions with business objectives\n, • Mentor and support team members, with optional management responsibilities\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in machine learning engineering roles\n, • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)\n, • Proven ability to develop and deploy business-critical, data-intensive applications\n, • Extensive experience with AWS and Kubernetes\n, • Proficiency with lower-level libraries such as PyTorch and NumPy\n, • Hands-on experience implementing distributed, multi-threaded, and scalable applications\n, • Experience with automated building, testing, and deployment pipelines\n, • Familiarity with higher-level interfaces like Pydantic AI and Langraph\n, • Strong understanding of computer science fundamentals and development best practices\n, • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability\n, • Ability to understand business objectives and align ML problem definitions\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience mentoring or leading teams\n, • Knowledge of agentic AI concepts\n, • Experience designing reusable libraries and services\n, • Interest in bridging scientific theory and enterprise-grade systems\n, • Passion for innovation and continuous learning\n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \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 Google to connect them with exceptional professionals for this role. \n Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. \n With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. \n As the Technical Lead Manager, you will work with display and power management technologies for Android OS development across a range of devices. You will ensure the stability and extensibility of critical display and power frameworks for the entire Android ecosystem and partner with various teams including Pixel, Android partners, and internal Google teams to deliver essential support for new features, enable upcoming innovations, and identify and address gaps in Android's display and power capabilities. \n Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 8 years of experience in software development.\n, • 5 years of experience testing and launching software products.\n, • 3 years of experience with software design and architecture.\n, • 3 years of team leadership or management experience.\n, • 3 years of experience working in one of the following domains: Android, IOS, Embedded, Firmware.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n, • 8 years of experience with data structures and algorithms.\n, • 3 years of experience in a technical leadership role leading project teams and setting technical direction.\n, • 3 years of experience working in an organization involving cross-functional, or cross-business projects.\n, • Experience working with program languages such as Java and Kotlin.\n\n Responsibilities: \n\n • Manage a team of software engineers as a Tech Lead Manager (TLM).\n, • Review and contribute to technical design documents, ensuring code quality, testability, and adherence to best practices.\n, • Conduct code reviews and provide constructive feedback to engineers.\n, • Diagnose, debug, and resolve technical issues, including performance and power optimization.\n, • Drive improvements to the team’s development processes and tools.\n

hackajob is collaborating with Vitality to connect them with exceptional professionals for this role. \n Team – Data Science and AI \n Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. \n We are happy to discuss flexible working! \n Top 3 skills needed for this role: \n\n • Demonstrated Machine Learning Expertise\n, • Advanced Python & SQL Mastery\n, • Proven Stakeholder Collaboration\n\n What this role is all about: \n We're looking for a Data Scientist to play a key role in transforming underwriting and claims through data, AI and advanced analytics. \n You'll work across data science, technology and business operations to convert complex data into practical insights and solutions. These solutions will support better outcomes, improve operational efficiency and enhance customer outcomes. \n You'll solve real-world business obstacles, partner with experts from across the organisation and contribute to the next generation of AI-enabled underwriting and claims capabilities. \n Key Actions \n\n • Apply data science, machine learning and AI techniques to improve underwriting and claims decision-making, customer outcomes and business performance\n, • Develop predictive models, analytical tools and dashboards that provide actionable insights and support operational excellence\n, • Work with complex and diverse data sources to identify trends, risks and opportunities across underwriting and claims journeys\n, • Take ownership of data science initiatives from problem definition through to implementation, ensuring solutions deliver measurable value\n, • Identify opportunities to automate manual processes, streamline workflows and improve efficiency across the customer lifecycle\n, • Collaborate with Underwriting, Claims, Medical, Product and Technology teams to understand challenges and develop effective data-driven solutions\n, • Build and maintain robust datasets, analytical assets and scalable models that support long-term business capability\n, • Evaluate and implement AI-powered solutions, including intelligent decision support and workflow automation capabilities\n, • Communicate technical findings and recommendations clearly to a range of stakeholders, translating complex analysis into meaningful business insight\n, • Support the growth of data-driven decision making and contribute to the development of innovative underwriting and claims capabilities\n\n What do you need to thrive? \n\n • Degree in Data Science, Mathematics, Statistics, Computer Science or a related numerical discipline\n, • Proven experience applying data science, machine learning and AI techniques to solve complex business problems\n, • Strong SQL and Python skills with the ability to analyse, manipulate and model large datasets\n, • Experience developing and deploying predictive models within a commercial environment\n, • Ability to translate complex analysis into clear, actionable insights for a range of stakeholders\n, • Strong stakeholder management skills with experience working across business and technical teams\n, • Commercial mindset with a focus on delivering measurable business value and operational improvements\n, • Experience working with version control and collaborative code repositories such as GitHub or Bitbucket\n\n So, what’s in it for you? \n\n • Bonus Schemes – A bonus that regularly rewards you for your performance\n, • A pension of up to 12%– We will match your contributions up to 6% of your salary\n, • Our award-winning Vitality health insurance – With its own set of rewards and benefits\n, • Life Assurance – Four times annual salary\n\n These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! \n \n If you are successful in your application and join us at Vitality, this is our promise to you, we will: \n\n • Help you to be the healthiest you’ve ever been\n, • Create an environment that embraces you as you are and enables you to be your best self\n, • Give you flexibility on how, where and when you work\n, • Help you advance your career by playing you to your strengths\n, • Give you a voice to help our business grow and make Vitality a great place to be\n, • Give you the space to try, fail and learn\n, • Provide a healthy balance of challenge and support\n, • Recognise and reward you with a competitive salary and amazing benefits\n, • Be there for you when you need us\n, • Provide opportunities for you to be a force for good in society\n\n We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n US: $232000 - $252000 (USD) + 15% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Master's degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience.\n, • 4 years of experience designing and executing multi-method research (e.g., RCTs, field studies, quasi-experiments) to measure cognitive, behavioral, and organizational outcomes.\n, • 2 years of experience researching the impact of AI, collective intelligence, or technological transformation on organizations.\n\n Preferred qualifications: \n\n • PhD degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience\n, • Experience partnering with product/engineering teams to develop science-backed tools or interventions.\n, • Track record of collaborations with cross-functional leadership in research and product areas.\n, • Demonstrated ability to translate complex empirical findings into actionable strategies for executive leadership and engineering teams.\n\n Responsibilities: \n\n • Design and execute a portfolio of multi-method research projects spanning generative, experiential, computational, and experimental methodologies, balancing scientific excellence with the pace of a frontier AI lab.\n, • Define and uphold the team's experimental governance and scientific quality standards, including research ethics, data privacy, and reproducibility protocols.\n, • Drive research that closes the loop between empirical insights and AI capability development, ensuring behavioral findings directly inform the design and evaluation of new tools, simulations, and benchmarks.\n, • Collaborate across DeepMind technical teams — and, where relevant, with leading external academic partners — to manage open questions at the intersection of AI and organization science.\n, • Co-author high-impact research papers, white papers, and executive syntheses that combine scientific authority with broad organizational relevance.\n

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

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n In this role, you will lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and Google customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest generation models. You will be building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. You will drive product and business impact, and develop strong relationships with research teams. \n You will be a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI. \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 Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.\n, • 8 years of software development experience, including system design, data structures, and algorithms.\n, • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).\n, • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.\n\n Preferred qualifications: \n\n • 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.\n, • Experience with generative AI research or applications.\n, • Experience evaluating model performance, analyzing results, and implementing improvements.\n, • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.\n, • Experience in developing and shipping software products rapidly.\n, • Contributions to open-source projects.\n\n Responsibilities: \n\n • Lead a team in the design, development, and deployment of scalable generative AI applications and advocating industry best practices.\n, • Lead the team through the rapid development of new features, iterating based on evaluation results while mentoring members to cultivate a collaborative and high-performing environment.\n, • Collaborate with researchers and product managers to translate research advancements into tangible product features.\n, • Oversee the optimization of software performance and ensure the reliability of deployed applications.\n, • Lead the architecture and development of new products and features from 0 to 1.\n

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Product Owner, Deposits Enablement \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We’re seeking a future team member for the role of Product Owner, Deposits Enablement to join our Deposits Enablement team. This role is located in Manchester or London. \n In this role, you’ll make an impact in the following ways: \n\n • Product analyst working on a deposit component who contributes to the platform’s strategic objectives and key results using product-specific data, metrics, and goals.\n, • Collaborate with cross-functional teams in operations and client teams to translate the business needs into epics and stories. \n, • Responsible for prioritization of the work based on business value, using estimated new revenue, operational KPI and KRIs, and other metrics.\n, • Provide day-to-day direction to guide the pod for clarification of story details and acceptance criteria.\n, • Knows when to escalate to managers. Able to identify and triage issues with specific features but understand how multiple features are interrelated and catches more complex problems. \n, • Customer Insights: Effectively defines proper measurement and instrumentation for a product to analyze results post-release/launch. \n, • Assesses the quality of existing UX to make recommendations on how to improve user experience. \n, • Ability to create wireframes independently and in coordination with the design team. \n, • Signoff on stories through active participation in validation and Sprint Reviews.\n, • Facilitates handoff of stories requiring operational readiness, training, or adoption, continuing to track metrics to drive future stories.\n, • Fosters agile ways of working, DevOps, and automated testing. \n \n\n To be successful in this role, we’re seeking the following: \n\n • A number of years related experience in financial services, deposits product experience preferred.\n, • Ability to break down highly complex initiatives into small epics and stories that deliver incremental business value.\n, • Effective collaboration skills. Ability to influence, make hard decisions, and problem solve.\n, • Passion for changing the status quo, driving out of the box thinking. Ability to adapt and lead through change.\n, • Bachelor’s degree in accounting, finance, computer science engineering or related discipline, or equivalent work experience required.\n, • A number of years product experience and agile ways of working\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n Same Posting Description for Internal and External Candidates

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. \n With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). \n To support delivering AI and Infrastructure at an unparalleled scale, efficiency, reliability and velocity, the Data Center Control Engineering team takes the control/networking design of our data centers into the future. Our team mirrors a research and product development department where cutting-edge designs/strategies are incubated, developed and productized for construction. \n In this role, you will take on complex OT networking and infrastructure challenges to develop new technologies, and optimize processes to further increase our networking posture and networking infrastructure across products. \n Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n Ireland: €110000 - €112000 (EUR) + 15% bonus target + equity + benefits \n Netherlands: €114000 - €116000 (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, • 5 years of experience managing the technical design and implementation of OT infrastructure and networking.\n, • Experience in industrial control system architecture as it pertains to network segmentation, standard protocols (e.g., BACnet, Modbus, OPC, IEC 61850), and system administration.\n, • Experience in industrial control system hardware (e.g., PLCs, relays, IEDs, IO modules) and networking layer integration.\n\n Preferred qualifications: \n\n • Knowledge of, or experience in electrical and mechanical systems.\n, • Knowledge of, or experience in data center infrastructure/critical infrastructure.\n, • Ability to generate technical product specifications/requirements, conceptual schematics, and system architecture drawings to drive control networking system projects.\n\n Responsibilities: \n\n • Develop scope, requirements for networking initiatives to drive the design, implementation, testing of secure, and resilient operational technology (OT) security solutions. Perform design document development, implementation and lab and on-site testing of networking solutions.\n, • Perform technical review of new control system infrastructure initiatives, embedding networking requirements into the lifecycle from initial design, testing to deployment.\n, • Serve as a technical liaison and collaborate between cross-functional teams to resolve complex design, integration, and deployment challenges in mission-critical environments.\n, • Perform sustaining and life cycling activities during pre and post deployment, and operations for networking solutions and OT infrastructure components (e.g., SCADA/HMI servers, clients, software).\n, • Identify opportunities for continuous improvement and maturation of the OT environment to drive risk reduction.\n

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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. \n As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. \n Job Responsibilities: \n\n • Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.\n, • Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.\n, • Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.\n, • Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.\n, • Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.\n, • Champion documentation of methodologies, results, and best practices for knowledge sharing.\n, • Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.\n, • Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.\n, • Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.\n\n Required Qualifications, Capabilities, and Skills: \n\n • MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.\n, • Proven experience building and deploying AI applications in large-scale production environments.\n, • Experience with MLOps practices and tools for managing the machine learning lifecycle.\n, • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Strong understanding of data preprocessing, feature engineering, and evaluation techniques.\n, • Experience working with large, complex datasets and applying statistical analysis.\n, • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).\n, • Experience managing data science teams and coaching team members.\n, • Problem-solving skills and ability to work independently and as a leader within cross-functional teams.\n, • Strong communication skills for both technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.\n, • Hands-on experience with agentic frameworks (LangChain, LangGraph).\n, • Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.\n, • Demonstrated experience in financial services, particularly investment banking operations.\n\n Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. \n #CIBAppliedAI \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 J.P. Morgan to connect them with exceptional professionals for this role. \n NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence \n The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. \n The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. \n \n Job Responsibilities \n\n • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community\n, • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems\n, • Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.\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\n \n Required qualifications, capabilities, and skills \n\n • Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods\n, • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field\n, • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\n, • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals\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 \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 search/ranking, Reinforcement Learning or Meta Learning\n, • Expertise in recommendation systems\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\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 \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we're using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_... \n \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 \n \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 \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. \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 Vanguard to connect them with exceptional professionals for this role. \n Project Contractor \n Project Contractor \n Senior Data Engineer, Anti-Fraud Technology \n Manchester OR London \n Contract \n Purpose \n Technology, at the forefront of cybersecurity \n Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients’ funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. \n In this role you will: \n\n • Be creative with solutions for business needs, it’s important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions.\n, • Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems.\n, • Build ELT pipelines, from source to presentation of data to our internal customers.\n, • Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. \n, • Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience.\n, • Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes.\n, • Own the deployment and operations of the system across environments from development, test, and through to production.\n, • Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective.\n\n Qualifications we’re looking for: \n A bachelor’s degree in computer science, STEM or related discipline is a plus, but not strictly required. \n Experience as a data engineer. \n Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). \n Proficient using transformation tools such as PySpark/Pandas. \n Knowledge and practice of graph databases is preferred but not required. \n Key responsibilities/ Skills and experience \n Familiarity using data quality frameworks, ie. Great Expectations. \n Experience building cloud infrastructure using IaC (CloudFormation/Terraform). \n Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. \n Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. \n An understanding of agile software development methodology, with scrum framework experience preferred. \n A desire to continuously learn and develop yourself in both technical and non-technical skillsets. \n Working at Vanguard \n We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. \n Why Vanguard? \n Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. \n This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. \n It's what we stand for: value to investors. \n Inclusion Statement \n Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” \n We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values. \n When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. \n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. \n Senior Java Developer \n\n • London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast, England, United Kingdom\n, • Full-time\n, • Department: Digital, Data and Cloud\n\n \n Company Description \n Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees are at the very heart of what we do: \n\n • UK & Ireland's premier AWS, Microsoft & Oracle partner \n, • 3300+ strong, €350/£300m revenue business \n, • 10+ years as a Great Place to Work in Ireland & UK \n, • Best Workplace for Women in the UK & Ireland by GPTW \n, • Best Workplace for Wellbeing in the UK by GPTW \n\n We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. \n Job Description \n We are seeking a highly skilled and experienced Senior Java Developer to join our dynamic team. The ideal candidate will have a strong background in Java development, extensive experience with AWS, database management, and preferred work experience in batch processing. As a Senior Java Developer, you will play a crucial role in designing, developing, and maintaining high-performance applications that meet our business needs. \n Key Responsibilities: \n\n • Design and Development: Design and development of robust, scalable, and efficient Java applications.\n, • AWS Integration: Utilize AWS services to build and deploy cloud-based solutions, ensuring high availability and scalability.\n, • Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance.\n, • Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently.\n, • Code Quality: Ensure code quality through code reviews, unit testing, and adherence to best practices.\n, • Collaboration: Work closely with cross-functional teams, including product managers, QA engineers, and other developers, to deliver high-quality software solutions.\n, • Troubleshooting: Identify and resolve performance bottlenecks, bugs, and other technical issues.\n, • Mentorship: Provide guidance and mentorship to junior developers, fostering a culture of continuous learning and improvement.\n\n Qualifications \n\n • Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field.\n, • Experience: Proven experience of 7+ years working as a Java Developer in product development or services environment.\n, • AWS Skills: Minimum 3+ years of work experience in AWS services such as EC2, S3, Lambda function, Step-functions, Event bus etc.\n, • Database Skills: Minimum 5+ years of work experience with relational databases (e.g., Oracle, MySQL, PostgreSQL), ability to write complex joins, performance troubleshooting experience etc.\n, • Technical Skills: Proficiency in Java, Spring Framework, Hibernate, and RESTful APIs.\n, • Problem-Solving: Excellent analytical and problem-solving skills.\n, • Communication: Strong verbal and written communication skills.\n, • Team Player: Ability to work effectively in a collaborative team environment.\n\n Preferred Qualifications: \n Batch Processing experience: Hands-on experience with batch processing frameworks and tools. Python experience: Minimum of 2 years is nice to have. \n Additional Information \n Why Version 1? \n At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. \n\n • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits \n, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme \n, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance \n, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme \n, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies \n, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat \n, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. \n, • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. \n\n And many more exciting benefits… drop us a note to find out more. \n Version 1 is an equal opportunities employer. \n \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. \n \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Version 1 is an equal opportunities employer. \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Video links: \n https://www.youtube.com/watch?v=F_d3ELTH5zo \n By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

hackajob is collaborating with 8th Light to connect them with exceptional professionals for this role. \n \n Lead Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 7+ years. You can be the go-to leader for any software development engagement. You have a broad and deep range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: \n\n • Successfully led high-stakes consulting engagements from discovery to production \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Written production-quality code using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL\n, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation\n, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) \n, • Used context-appropriate automated testing to inform software design choices and catch bugs\n, • Debugged and refactored pre-existing code to incrementally improve it\n, • Collaborated with teams using Git, MacOS/Linux, and CI/CD\n, • Remedied architecture-level concerns such as scalability, security, reliability, and performance\n, • Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving\n, • Made thoughtful recommendations and set direction in the face of ambiguity\n, • Mentored and shared knowledge with colleagues\n, • Actively sought out and effectively given feedback\n, • Communicated empathically with stakeholders and colleagues\n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n\n What You’ll Do At 8th Light \n As a lead technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll lead more complicated projects, leading teams to do so. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: \n\n • Making immediate contributions to projects, rapidly building trust with clients\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Leading architecture and software design discussions\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Ensuring your team has a healthy, prioritized, estimated backlog\n, • Managing high-level project roadmaps as the team lead for large engagements\n, • Maintaining relationships with client technical leaders\n, • Regular syncs with the client to provide status updates, and for identifying and evaluating risks and presenting potential solutions\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n\n, • DevSecOps & DevOps\n, • MLOps\n, • Infrastructure as Code\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Lead Engineer position within London is: £76,023-95,029 GBP. \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Vice President, Senior Software Engineering, Developer Experience to join our Developer Experience (DevEx) team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead, mentor, and manage a high-performing Build Engineering team, setting clear technical direction and career growth paths.\n, • Oversee the architecture and implementation of BNY’s central build automation platform, ensuring high availability, reliability, and security.\n, • Create developer-friendly templates, quick start guides, and troubleshooting tools to help feature teams quickly create performant, transparent, and compliant build automation.\n, • Optimize developer workflows by streamlining build orchestration, dependency management, and CI/CD pipelines to accelerate software delivery while reducing friction.\n, • Drive observability and resilience by integrating telemetry, analytics, and automated remediation into build systems to proactively identify and resolve bottlenecks and failures.\n, • Champion secure software supply chain practices, artifact management standards, and consistent build strategies across the enterprise.\n, • Partner closely with Product Management, SRE, Security, and application engineering teams to ensure alignment with developer needs and organizational priorities.\n, • Foster innovation by evaluating and adopting emerging technologies, including AI-assisted build optimization and intelligent failure diagnosis.\n, • Define and track key metrics such as build success rate, duration, cost efficiency, adoption rates, and developer satisfaction to continuously improve the platform.\n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred\n, • Expert-level competency in one or more modern programming languages (e.g., Java, Go, JavaScript, Python).\n, • Proven expertise with modern build automation and CI/CD tools (e.g., GitHub Actions, GitLab CI/CD, Jenkins, Bazel, Gradle, Maven).\n, • Strong technical leadership skills with the ability to set architectural direction and drive complex initiatives across teams.\n, • Experience delivering large-scale, mission-critical developer platforms in an enterprise or high-scale environment.\n, • Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.\n\n Preferred qualifications include: \n\n • Background in Developer Experience (DevEx), Platform Engineering, or Build/Release Engineering.\n, • Experience with artifact repositories (e.g., Artifactory, Nexus) and secure software supply chain practices.\n, • Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines.\n, • Exposure to AI/ML-driven build acceleration and failure prediction tooling.\n, • Prior hands-on software development experience building customer-facing features.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. \n Job summary \n As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications. You will help us deliver reliable, scalable, observable, and secure data solutions by applying strong software engineering fundamentals and modern data engineering patterns. You'll work closely with partners across product, analytics, and engineering to translate business needs into resilient technical designs. You'll also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. \n Job responsibilities \n\n • Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt\n, • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability\n, • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations\n, • Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads\n, • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design\n, • Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components\n, • Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)\n, • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions\n, • Own critical data systems by improving reliability, scalability, security, and operational excellence\n, • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing\n\n Required qualifications, capabilities, and skills \n\n • Degree in Computer Science or a STEM-related field (or equivalent)\n, • Demonstrated experience delivering in an agile, fast-paced engineering environment\n, • 8 years of recent, hands-on professional experience actively coding as a data engineer\n, • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)\n, • Strong Python programming skills, including unit and integration testing\n, • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)\n, • Experience with large-scale distributed data processing and performance tuning\n, • Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\n, • Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)\n, • Experience designing and operating orchestration pipelines using Airflow or similar tools\n, • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems\n\n Preferred qualifications, capabilities, and skills \n\n • Data modeling experience for analytics and reporting use cases\n, • Knowledge of security, risk, compliance, and governance considerations for data platforms\n, • Experience building continuous integration and continuous delivery automation for data and platform services\n, • Experience with container-based deployment environments (Docker, Kubernetes, etc.)\n, • Demonstrated ability to coach teammates on engineering practices and contribute to a collaborative, inclusive team culture\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.