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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. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in. \n At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. \n We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. Talk to us about how we can best support you! \n We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities. \n\n • Lead the implementation of data science projects and data science approaches to support commercial goals \n, • Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working \n, • Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes \n\n\n, • Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results \n, • Be a champion and role model for the application of data science across the Kingfisher group \n, • Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making \n, • Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences\n\n\n, • Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products \n, • Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) \n, • Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) \n, • Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) \n\n\n, • Strong software development skills (Python is the preferred language) \n, • Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow \n, • Strong management and leadership skills – previous experience managing a team \n, • Strong influencing, communication and stakeholder management skills \n\n Be Customer Focused – constantly improving our customers’ experience \n We listen to our customers and colleagues \n We innovate products and experiences to stay ahead \n Be Human – leading with purpose, humanity and care \n We do the right thing \n We invest in our people and build great teams \n Be Curious – thrive on learning, thinking beyond the obvious \n We focus externally, globally and build the long term \n We experiment and share our learnings \n Be Agile – building trust and empowering people to work with agility \n We act with pace, not perfection, role modelling 80/20 \n We take risks, fail fast and adapt quickly \n Be Inclusive – inspiring diverse teams to achieve together \n We celebrate difference as a strength \n We collaborate, breaking down silos \n Be Accountable – owning the plan, delivering results and growth \n We focus on performance outcomes \n We prioritise and simplify for others \n At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. \n In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

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 Simply Business to connect them with exceptional professionals for this role. \n Our story - continued commitment to doing the right thing \n \n 2005 seems like a long time ago. Simply Business – a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time. \n \n As we’ve grown, we’ve tried hard to keep true to this. To ourselves, to our 800 strong team and to the 3.5m customers that we’ve served so far. And as we move forward, as we enter a big new market, as we grow responsibly, as we improve our products, as we offer our customers more of what they need, of what they deserve, we’ll hold onto the focus of that small company with the big idea. Protecting and serving businesses across the UK and the US. From barbers to bakers, consultants to cleaners, they are the backbone of the economy. \n \n And we’ll continue to stand by them. Bit by bit helping their dreams grow, just like ours. \n \n Why do we need this role? \n \n As a Staff Data Scientist you will be part of a team that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver value, quickly. \n \n In this role, you will: \n \n\n • \n Work closely with cross-functional development teams to build, test and maximise the value of a suite of models ranging use cases from LLM’s to propensity, classification and regression models \n • \n Contribute to End to end development and deployment of ML and AI models \n • \n Prove and deliver real value \n • \n Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth. \n • \n Try and incredibly broad range of DS/AI techniques in a commercial environment \n\n \n Responsibilities include: \n \n\n • \n Researching, advising, building, deploying and testing models from day one \n • \n Work as a bridge between the data science and MLOps departments to continue bring understanding and best practice deployment techniques into the Data Science team \n • \n Hands on big project ownership \n • \n Everyday modelling and Data Science projects with a large, event based data set \n • \n Opportunity to help to codevelop our AI strategy and continued leverage of GenAI for real value \n\n \n \n What are we looking for: \n \n\n • \n 5+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI \n • \n Created multiple Data Science Products \n • \n Proven aptitude for working with experimenting tools - MLflow/DBX (A/B tests) \n • \n Proven deployment experience - MUST BE REALTIME \n • \n Extensive experience of Databricks/AWS/GCP for deployment \n • \n Strong Python experience \n\n \n \n The Benefits \n \n There’s all the serious (but important) stuff we call ‘core benefits” and a salary that reflects your experience, our pay policy and the market we’re in from your first day is a global approach. However, some of our “core benefits” differ from the UK to the US to keep us competitive. \n \n These range from life cover, a cash plan and a stakeholder pension in the UK to medical, dental, vision, and prescription drug coverage, short and long term disability, life insurance coverage and participation in 401(k) plan with a 3% employer match in the US. \n \n The Fun stuff! \n \n We are really proud of our culture at SB and that reflects in how our benefits roll. Flexible benefits and working, plenty of training to help you develop your career and loads of clubs to get involved in from trivia nights, guest speakers, and charity drives keep us all well connected. And, the great thing is being remote hasn’t stopped us one bit.

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Solutions & AI Lab practice are looking for an experienced Platform Engineering Manager to join the team. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. \n What you will be doing \n\n • Focus on the hardening of environments and ensuring policies are planned and enforced\n, • Implement and advocate for security best practices in all aspects of the development and deployment lifecycle\n, • Ensure compliance with industry standards and manage risks associated with cloud deployments\n, • Prioritize modularity and the toolchain produced by the platform engineering team to support accelerators and automation\n, • Design, architect, develop, deploy, and evolve CI/CD systems to help our clients transition to cloud-based data analytics platforms (AWS, Azure, GCP) and leverage modern architecture patterns (e.g., APIs, events)\n, • Write and maintain Infrastructure as Code (IaC) and automate application deployment using industry-standard tools and services\n, • Scale the services and toolchain produced by the platform engineering team to support accelerators and automation of configuration improvements\n, • Build reusable, extensible, secure artifacts and drive Cloud and DevOps industry best practices on engineering teams\n, • Design and implement solutions that ensure high availability and disaster recovery\n, • Define and implement monitoring best practices and deploy health check agents\n, • Ensure logging best practices are defined and implemented\n, • Develop and process an alerting strategy to define severity and direct alerts appropriately\n, • Translate business requirements (both functional and non-functional) into a simplified solution, ensuring compliance with the organisations strategy, policies and standards\n, • Create high-level designs and architectures which deliver on the needs of the project\n, • Financial operations and cost optimisations of infrastructure and proposed architecture \n\n Your skills and experience \n\n • Experience in designing, architecting, and deploying CI/CD systems for modern data analytics platforms and modern web applications in the cloud\n, • Skilled in writing Infrastructure as Code (IaC) and automating application deployment using industry standard tools and services\n, • Hands on experience on designing, architecting and implementing security, High Availability, Disaster Recovery and monitoring aspects of cloud solutions.\n, • Competent in at least one popular programming language, such as Python or JavaScript\n, • 5+ years of experience in hands on delivery of devops, platform engineering, solution design, cloud architecture & development\n, • Understanding of how to architect modern solutions in the cloud that are robust and scalable, striving for simplicity and low maintenance\n, • Desire to support and help build internal development platforms and design systems to use as accelerators, using the developer teams as key stakeholders to drive and influence demand and prioritisation\n, • Ability to justify and define best practices and standards, influencing the software development lifecycle policy\n, • Experience of building robust modular CI/CD templates, that centralise and govern responsibility while always challenging raising the bar in quality for the development team\n, • Comfortable to be challenged by other architect/security teams and explain the merits of your proposal \n, • We expect applying candidates to hold or willing to obtain one of the below certifications or better: \n ▪ AWS Associate (Developer, Architect, SysOps) \n ▪ Azure Associate (Developer, Administration) \n ▪ GCP Associate (Cloud Engineer) \n ▪ Hashicorp: Terraform Associate\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 As a Customer Engineer (CE), you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. \n You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio. \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 or equivalent practical experience.\n, • 10 years of experience with cloud native architecture in a customer-facing or support role.\n, • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.\n, • Experience engaging with, or presenting to, technical stakeholders or executive leaders.\n, • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.\n\n Preferred qualifications: \n\n • Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.\n, • Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).\n, • Experience building long-term technical strategies to uncover new workloads with customers.\n, • Experience migrating applications and services to cloud platforms.\n, • Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).\n\n Responsibilities: \n\n • Develop and own the technical account plan and strategy, participating in planning and supporting goal sales motions.\n, • Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.\n, • Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Continue to lead the technical engagement in the solution phase.\n, • Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.\n, • Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London. \n Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data. \n At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer, you'll be crucial in ensuring it's easy to find the right data quickly. \n Here's how you'll be contributing to the Analytics Engineering team: \n\n • \n Lead and Mentor: You will work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling. \n • \n Strategic Roadmap: You will take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution. \n • \n Core Data Sets: You will play a key role in building and maintaining core datasets, ensuring data quality and accessibility. \n • \n Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. \n • \n Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities. \n\n Qualifications \n What do I need to bring to the role? \n\n • \n Technical Expertise: Advanced proficiency in SQL and Python is a must. \n • \n Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models. \n • \n Orchestration Mastery: Hands-on experience using an orchestration tool like Airflow. \n • \n Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives. \n • \n Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives. \n • \n Python Development: Demonstrated ability to build practical solutions using Python. \n • \n Stakeholder Empathy: You're able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems. \n • \n BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset. \n\n This is a Lead Analytics Engineer role. For more information on our Analytics Career Map and levelling structure, click here \n Additional Information \n Our Offer \n\n • \n Base salary: £85-125k gross / year base (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) \n • \n Numerous amount of best in class benefits \n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Paid annual holiday, sick days, parental leave and other leave opportunities \n • \n 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Senior Vice President, Full-Stack Engineer Opportunities. \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. \n We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. \n We’re seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our team. This role is located in London. \n Role Overview: BNY is seeking a Senior Vice President, Software Engineering to lead high-impact teams. This role encompasses end-to-end delivery ownership, elevating engineering standards, nurturing talent, and collaborating closely with product and business stakeholders. The aim is to create secure, resilient, and scalable systems. This opportunity is ideal for a hands-on leader who excels in agile environments and transforms complex business challenges into elegant, dependable solutions. \n In this role, you’ll make an impact in the following ways: \n\n • Lead and develop inclusive, high performing engineering teams; set clear objectives, coach talent, and build succession plans while representing engineering in program reviews and governance forums.\n, • Own end to end delivery of mission critical software—from requirements and architecture to implementation, testing, deployment, observability, and reliability—while ensuring compliance and operational excellence.\n, • Raise engineering excellence and resilience: enforce best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; champion secure by design (secure coding, logging/monitoring, incident playbooks, disaster recovery).\n, • Partner with product, design, and ops to turn outcomes into measurable technical plans, steer architecture modernization, integrations —aligned to BNY’s principles and pillars. \n \n\n To be successful in this role, we’re seeking the following: \n\n • Proven leadership of software engineering teams building distributed systems and microservices in agile environments such as Scrum or Kanban.\n, • Hands-on AI development using modern tools and IDEs (e.g., Windsurf) and familiarity with integrating AI into products.\n, • Strong expertise in Java (preferably Spring) and architectural patterns for scalable, observable, and testable systems.\n, • Proficiency in modern engineering practices including CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, quality focused test-driven development, and DevOps culture.\n, • Hands-on experience with containers (Docker) and private cloud infrastructure, alongside familiarity with service telemetry tools (e.g., Splunk, AppDynamics).\n, • Track record of talent development including hiring, coaching, performance management, and building collaborative, learning-focused teams.\n, • Dedication to understanding the business domain and translating product strategy into architecture and delivery plans.\n, • Corporate Actions domain experience strongly preferred.\n, • Experience with JavaScript/TypeScript and Angular for full-stack development contexts preferred.\n, • Expertise in Spring Framework, software architecture, and API/platform design preferred.\n, • Background in financial services, risk and controls, and regulated environments preferred.\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 This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.

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 We are looking for a Product Director to own and evolve the internal platform that powers Risk, Compliance, and Financial Operations at Wise. \n As money moves instantly across borders, bad actors move just as fast. The Mitigation Platform Squad is a 30-person, cross-functional organization (spanning three distinct teams) dedicated to building the next generation of our operational infrastructure. \n Your mission is to move our operations from manual review engines to AI-augmented, predictive workflows, ensuring we scale our customer base exponentially without scaling our operational headcount at the same rate. \n What You Will Build & Own: \n You will lead the overarching product strategy for how we collect customer risk data, route tasks, and handle complex financial crime investigations. Specifically, your squad focuses on three core pillars: \n\n • The 360° Customer Data Engine: Revolutionize how we collect, ingest, and synthesize customer information. You will build frameworks that aggregate complex data points into a unified, real-time risk profile, giving analysts instant context without the hunt.\n, • Intelligent Case Handling & Workflows: Own the end-to-end case management experience. You will build flexible, customizable workflow engines that empower operational teams to design, test, and deploy new compliance rules and investigation paths accelerating our time-to-market against new threat vectors.\n, • The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft investigation summaries and highlight anomalies.\n\n Key Responsibilities \n\n • Lead a 30-Person Multi-Team Squad: Provide strategic vision, product coaching, and execution leadership to three cross-functional teams of engineers, designers, and analysts.\n, • Pioneer AI-Augmented Operations: Identify high-friction manual processes in KYC, EDD (Enhanced Due Diligence), and fraud investigation, partnering with Data Science to deploy automated decisioning and generative AI assistance.\n, • Unify the Operational Stack: Oversee the consolidation of fragmented tooling into a seamless, cohesive platform, standardizing core risk, quality assurance (QA), and workforce management (WFM) processes globally.\n, • Drive Cross-Functional Alignment: Act as the primary bridge between global product teams, compliance officers, and operational floor managers, ensuring platform improvements directly drop our cost of servicing.\n, • Operate as a Player-Coach: Seamlessly zoom out to set a 2-year platform vision, and zoom in to unblock technical architectural decisions or analyze operational workflow bottlenecks.\n\n Qualifications \n What We’re Looking For \n\n • Platform & Scale Experience: You have built and scaled complex platforms, internal operating systems, or B2B SaaS products supporting thousands of daily active users or millions of end-consumers. You understand the intricate architecture required for high-availability, low-latency workflows.\n, • AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output.\n, • Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build a high-context, autonomous culture across multiple distributed sub-teams.\n, • Relentlessly Data-Driven: You self-serve with SQL/data tools to uncover operational bottlenecks, quantify friction, and measure the ROI of automation. You tell compelling stories with data to rally engineering and compliance around a shared metric.\n, • Consumer-Grade Mindset for Internal Tools: You reject the idea that internal operational tools should be clunky or slow. You care deeply about UX, design, and developer/analyst ergonomics.\n\n Additional Information \n We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Where and what you studied isn't important to us. If you’ve got great experience, the right skills for the role, and you’re great at articulating your thinking, we’d like to hear from you. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n 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 Join us to directly influence the future of technology at JPMorganChase. As a Senior Security Architect - SecOps and Vulnerability Management, you'll collaborate with top cybersecurity and engineering talent, solving complex challenges and enabling safe, secure innovation. Your passion for security and drive to make a real impact are valued here. Grow your skills in a dynamic environment designed for achievers. Help us build products that prioritize security from the start. \n Job Summary: \n As a Senior Security Architect - SecOps and Vulnerability Management in the Cybersecurity & Technology Controls team for International Consumer, you will proactively partner with technology and business colleagues to identify and address security issues. You will embed security culture, lead threat modeling, and drive architecture reviews to ensure our products are secure by design. Your role will be pivotal in managing emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing and emerging technologies. \n Job Responsibilities: \n\n • Design, scale, and manage the enterprise SIEM architecture to provide centralized visibility and high-fidelity threat detection across all corporate and cloud infrastructure.\n, • Develop and influence advanced SIEM correlation rules, custom data parsers, and detection logic to significantly minimize alert fatigue for the SOC team.\n, • Architect the end-to-end SBOM lifecycle to continuously track, analyze, and mitigate open-source and third-party software supply chain risks.\n, • Design a risk-based vulnerability management platform that automatically prioritizes infrastructure and application flaws utilizing real-world exploit intelligence and asset criticality.\n, • Build and optimize SOAR playbooks to automate incident response workflows, accelerate threat containment, and streamline vulnerability ticketing.\n, • Provide senior technical escalation support during critical security incidents and drive post-incident root-cause analysis to continuously improve defensive controls.\n, • Cultivate a security-first culture across product, technology, and business teams by providing developer-friendly tooling, training, and reusable secure patterns that accelerate rather than hinder delivery.\n, • Act with urgency to manage emerging security issues, monitor risk indicators, and recommend resolutions. Serve as the escalation point for IT Risk and Cyber domains related to Cybersecurity Operations and Vulnerability Management.\n, • Partner with engineering leads, product owners, and vendors to ensure effective technology risk management, translating regulatory and policy requirements into actionable, engineer-friendly controls.\n, • Support audit, regulatory, and risk activities by providing evidence of control effectiveness and translating compliance requirements into automated, repeatable processes.\n, • Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in SecOps and Vulnerability Management maturity across the organization.\n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements.\n, • Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing, remediation quality, and traceability/auditability in line with resiliency expectations.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Hands-on experience advising and influencing enterprise SIEM platforms (e.g., Microsoft Sentinel, Splunk, Chronicle/SecOps). Must be proficient in writing/reviewing advanced detection logic (KQL, SPL, or YARA rules).\n, • Deep execution knowledge of generating, managing, and analyzing Software Bills of Materials (SBOMs using frameworks like CycloneDX or SPDX) and integrating them with tools like Dependency-Track or Snyk to track open-source vulnerabilities.\n, • Advanced threat modeling experience (e.g., STRIDE-LM) for SIEM data flows, log ingestion pipelines, and vulnerability management platforms\n, • Experience architecting vulnerability programs using tools like Tenable, Qualys, or Wiz, specifically utilizing EPSS (Exploit Prediction Scoring System) alongside CVSS to determine patching prioritisation.\n, • Ability to design and influence automated response playbooks using SOAR platforms\n, • Practical experience creating reference architectures and patterns for engineering teams.\n, • Proven ability to design and deploy automated preventive and detective guardrails at scale.\n, • Ability to solve design and functionality problems independently.\n, • Strong written and verbal communication skills.\n, • Demonstrated success in influencing peers and stakeholders.\n, • Ability to evaluate and recommend emerging technologies for future state architecture.\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.\n, • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale.\n, • Experience partnering with Red/Purple Teams to simulate attacks and actively validate that SIEM rules fire as intended.\n, • The ability to identify thematic vulnerability trends and common denominators to drive highest-impact, lowest-effort Vulnerability remediation.\n, • Experience operating in regulated organizations with a 3LoD model.\n, • Willingness to challenge existing processes respectfully.\n, • Experience translating policy and regulatory requirements into control design for engineers and architects.\n, • Proven ability to upskill and learn modern technologies.\n, • Experience in financial services consumer businesses or Fintech organizations.\n\n #ICBCareers \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 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 Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin engineer to a newly forming pod. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, and they’re at it again with brand new product launches this year. \n We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. \n There’s a lot to do, from building and integrating new API’s to help build out our new collections function to creating new internal tools and supporting our expansion of new products and supporting services in the US. \n We believe that software engineering is more than just code - it’s about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. \n There is more to read about us and our Lendies in the engineering blog right here and if you’d like to check our reviews out on Glassdoor you can see these here. \n Our Tech Stack \n Backend \n\n • \n Kotlin 1.7.20 \n • \n AWS \n • \n GraphQL (it would be nice if you were familiar with this but it’s not a deal breaker) \n • \n Postgres \n • \n RabbitMQ \n • \n Docker \n • \n Kubernetes \n\n Frontend \n\n • \n React & React Native, TypeScript, MobX, Redux, Stylus and SASS \n\n Other \n\n • \n We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature \n • \n We use JUnit Jupiter, Kotest and TestContainers for automated testing \n\n What technical skills you’ll need to have \n\n • \n Strong commercial Kotlin experience \n • \n An ability to write simple, clean code \n • \n Experience and understanding of databases; relational databases are a must, NoSql would be nice too \n • \n Be able to quickly understand complex, financial business domains \n • \n Understand different software architectures rapidly \n • \n Understands abstraction and interpolation \n • \n Able to write comprehensive, automated tests at all levels of the pyramid \n • \n Understanding of the Kanban agile methodology; not a deal breaker if you don’t \n\n What kind of person you’ll need to be \n\n • \n Someone who can get along with others and build relationships \n • \n Someone who wants to continually learn, improve and collaborate \n • \n Someone who can solve problems on their own but also knows when to go to their peers for help \n • \n Someone who is a rational thinker and is aware of the ‘why’ behind the way they do things \n • \n Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery \n\n Interview process \n\n • \n A 30 minute introductory call with one of our engineers \n • \n A short coding exercise to complete in your own time \n • \n Onsite or Video Interview lasting 60-90 minutes, comprising of: \n \n • \n Introduction of the team and kind of work you could be doing daily \n • \n Discussion around the coding exercise you completed \n • \n Interactive architecture/design exercise \n • \n Tech project walkthrough \n • \n Cultural/behavioural questions to see if you’d be a good fit for Lendable \n • \n Questions you may have about the company, role, etc \n \n\n Check out our blog \n We also have an engineering blog where we have written in more detail how we work in the engineering team. \n Life at Lendable \n\n • \n The opportunity to scale up one of the world’s most successful fintech companies \n • \n Best-in-class compensation including equity \n • \n You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas \n • \n Our in-house chef prepares fresh, healthy lunch in the office every Tuesday-Thursday \n • \n Encouraged and sponsored personal and team growth through our training budget, 10% time for all engineers and active guilds \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. \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 an experienced Senior Java Engineer to join our UK Digital Data & Cloud Practice. Our Digital Practice is expanding rapidly and you will have the opportunity to achieve medium and long-term career goals. You will be working for one of our high-profile trading clients within the financial services domain, contributing hands-on to a Java-based development team supporting a high-volume message processing environment. \n The team is heavily Java-focused, operating within a client ecosystem that relies extensively on Kafka, Kubernetes/OpenShift, caching solutions, REST APIs, and high-throughput distributed systems. You will bring deep, practical experience in scaling systems that process millions of messages per day and strong problem-solving capability across complex backend challenges. \n Responsibilities \n Technical Delivery \n\n • Design, develop, and maintain high-quality backend components in Java, with a focus on performance and resilience.\n, • Contribute hands-on to complex features across messaging, caching, and distributed processing layers.\n, • Troubleshoot and resolve issues related to sequencing, recovery, message failures, and large-volume processing.\n, • Support releases, deployments, and production stability activities.\n, • Adhere to CI/CD pipelines, code quality standards, and operational readiness requirements.\n, • Apply performance, security, and resilience best practices, particularly around large-scale message handling.\n\n Collaboration \n\n • Work closely with the Technical Lead and peers to deliver against team objectives.\n, • Contribute to technical discussions, design reviews, and knowledge sharing within the team.\n, • Raise risks, blockers, and progress updates clearly within the team.\n\n Qualifications \n\n • Experience working on trading or financial platforms that process millions of messages per day, with strong awareness of non-functional requirements such as latency, resiliency, throughput optimisation, failover handling, and backpressure management.\n, • Experience designing and developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes.\n, • Strong application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ.\n, • Experience with the Spring framework and Spring Boot technologies.\n, • Experience in Java REST API development and application security best practices (OAuth, JWT, etc.).\n, • Experience with build and source control tools: Gradle, Maven, Git/Bitbucket.\n, • Experience with caching services such as Redis.\n, • Awareness of AI coding assistants such as GitHub Copilot, Cursor, or Claude to accelerate development, generate boilerplate, and review code.\n, • Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically.\n, • Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging).\n, • Experience working in an Agile/Scrum environment.\n\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 Video links: \n https://www.youtube.com/watch?v=F_d3ELTH5zo

Are you ready to start a new career in AI Engineering? \n AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. \n In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. \n Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. \n Step One: \n Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies \n Step Two: \n Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions. \n Step Three: \n Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. \n Course cost - £1495, or, £124.58 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new data career!

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Data, AI, Solutions & Engineering (DAISE) practice is looking for an experienced Data Engineer to join the team. \n In DAISE, we are focused on delivering value-adding, sustainable data capabilities, aligned to our \n client’s specific needs. This expertise is applied across clients in all of our industry market sectors \n (Financial Services, Products & Services, Energy & Resources, Pharmaceutical & Lifesciences and \n Government). \n What you will be doing \n\n • Defining and implementing on premise or cloud architectures, (e.g. a cloud data warehouse, data lake or data platform) to enable digital transformation\n\n\n, • Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models \n\n\n, • Performing maturity assessments across clients’ data capabilities and recommending improvements\n\n\n, • Building technology blueprints and advising clients on the different technology options\n\n\n, • Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisation's strategy, policies and standards and in some cases, help customers to define new policies, principles and standards \n\n\n, • Helping clients to identify risks and mitigations for their complex data programmes, as well as transition to modern cloud-based infrastructures (AWS, Azure, GCP) by leveraging related architecture patterns (e.g., APIs, events)\n, • Working independently with clients in key areas of data governance, such as in defining principles including, but not limited to master data management, data Lineage and Data Security\n, • Experience with mentoring, guiding, training and/or upskilling people on technical concepts who are earlier-on in their career from the team, and supporting their growth \n\n Your skills and experience \n\n • Passionate individual who is excited by problems with data and can bring a good mix of technical delivery and core consulting skills in client engagements\n\n\n, • Ability to own and run complex client engagements, interact with leaders across industry, work with senior stakeholders to help them understand and frame their problems, assess their current state, and make impactful recommendations which help shape their thinking\n\n\n, • Strong hands on expertise in data engineering, delivering data architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools (e.g. Databricks)\n\n\n, • Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on-premise or cloud setup\n\n\n, • Knowledge of different technology stacks including common legacy and modern stacks, experience of applying DevOps practices to data engineering as well as ability to build CI/CD pipelines\n\n\n, • Competent in SQL and at least one modern programming language, such as Python\n\n\n, • Understanding of key core concepts like distributed computing, batch & stream processing, functional and object-orientated programming, how pipelines are built and deployed on cloud, pipeline schedules and SLAs\n\n\n, • Well-versed with documentation and artefacts that need to go along with the solution design and delivery work\n

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n Role Overview \n As the Head of Complaints, you will hold a pivotal leadership position reporting to the Director of Complaints, Fraud and Financial Crime. You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. \n This is more than a management role; it is a mandate to build a high-performance environment that balances rigorous FCA regulatory compliance with the innovative, technology-driven agility of a leading fintech unicorn. You will be responsible for resolving complex issues, identifying systemic root causes, and fostering a culture of continuous learning and improvement to deliver exceptional customer outcomes. \n Key ResponsibilitiesStrategic Leadership & Team Development \n\n • \n Lead the Complaints Department: Set the strategic direction and objectives for the team, ensuring quality is maintained across all service lines. \n • \n Foster Growth Culture: Identify and develop future leaders through coaching and support, ensuring promotion is limited only by ability and ambition. \n • \n Drive Performance: Oversee a high-performance team with a relentless focus on productivity, efficiency, and consistency. \n • \n Stakeholder Management: Build and manage strategic partnerships across the business and champion the function at key meetings, including the Risk Committee. \n\n Operational Excellence & Innovation \n\n • \n Process Redesign: Continually review and optimise complaints processes to ensure they remain scalable and offer the best possible customer journey. \n • \n Root Cause Analysis (RCA): Lead all aspects of Root Cause and Remediation activity resulting from complaints to identify systemic failures and drive long-term business improvements. \n • \n Data-Driven Insights: Confidently interpret performance data and reporting to highlight areas for change and realise cost efficiencies. \n • \n Technology Integration: Leverage in-house technology, machine learning, and AI to automate heavy lifting and enhance resolution speed. \n\n Governance, Risk & Compliance \n\n • \n Regulatory Liaison: Act as the primary relationship holder with the Financial Ombudsman Service (FOS) and ensure all reporting to the FOS or the FCA meets DISP requirements. \n • \n Policy Ownership: Continuously redesign and re-engineer procedures to adapt to product growth and customer demand, ensuring full adherence to FCA regulations. \n • \n Conduct Risk: Proactively identify, monitor, and control conduct risk to prevent customer detriment. \n • \n Reporting: Take full responsibility for complaints data accuracy and reporting to the regulator and white-label partners. \n • \n Risk Mitigation: Ensure any identified risks are mitigated, actions are owned and delivered to plan, and drive accountability to promote a well-controlled function. \n\n Required Qualifications \n\n • \n Extensive Leadership Experience: Significant experience leading teams within the financial services sector. \n • \n Regulatory Expertise: Practical knowledge of FCA regulatory requirements and DISP rules. \n • \n Strategic Influence: Proven ability to manage and influence key influencers and decision-makers. \n • \n Communication Skills: Strong communication skills, both written and verbal. \n • \n Fast-Paced Delivery: A track record of prioritising and delivering in a fast-moving, high-growth environment. \n • \n Hands-on Approach: A self-starter who is willing to dive into the details of the team's work. \n\n Preferred Qualifications \n\n • \n Industry Specifics: Experience working in the motor industry or handling automotive finance complaints is highly desirable. \n • \n Fintech Background: Previous experience in a "unicorn" or rapidly scaling fintech environment. \n • \n Technical Literacy: Fluency in modern digital tools and an interest in AI-driven operational solutions. \n\n Interview Process \n 1) 30 minute call with a member of the Talent Team \n 2) 15 minute Cognitive Assessment \n 3) 45 minute Case Study Interview \n 4) 60 minute Onsite Interview with the Director of Complaints, Fraud and FinCrime \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with 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 Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We are seeking a Lead Engineer – Workplace Technology & Automation to act as an internal consultant across our function. This role will identify opportunities, shape solutions, and help teams implement practical improvements across workplace services, support processes, and platform operations. It is a hands-on, non-managerial position suited to someone with strong Microsoft-centric expertise and a consultative, pragmatic approach. \n Role and Responsibilities \n\n • \n Lead technical architecture reviews, risk assessments, and design decisions. \n • \n Create roadmaps, reference patterns, and reusable checklists to improve delivery quality. \n • \n Drive automation and AI adoption to reduce manual effort and enhance consistency. \n • \n Mature Copilot usage within the workplace environment, building custom agents and plugins for enterprise workflows. \n • \n Design and implement automation using scripting, APIs, and infrastructure-as-code. \n • \n Improve integration between Microsoft 365 and service platforms such as ServiceNow. \n • \n Act as an internal consultant, shaping ideas into workable solutions using agile practices. \n • \n Collaborate with vendors and partners to ensure delivery aligns with internal standards. \n\n Must-Have Skills \n\n • \n 10+ years of strong expertise across the Microsoft stack: Microsoft 365, Copilot, Intune, Entra ID. \n • \n Proven experience designing or delivering automation solutions in enterprise environments. \n • \n Hands-on experience using AI to improve operational processes and support services. \n • \n Proficiency in PowerShell, APIs, scripting, and infrastructure-as-code. \n • \n Experience in agile delivery environments (user stories, backlog-driven delivery). \n • \n Ability to shape roadmaps and turn opportunities into practical, scalable plans. \n • \n Strong stakeholder management and communication skills. \n • \n Prior experience as a senior individual contributor, specialist, or internal consultant. \n\n Good-to-Have Skills \n\n • \n Experience with ServiceNow integrations with Microsoft 365 or workplace services. \n • \n Background in improving service desk or support workflows through automation. \n • \n Experience establishing standards or operating models for AI/automation services. \n • \n Relevant certifications: TOGAF, ScrumMaster, Microsoft SC-300 / MD-102 / AZ-500. \n • \n Exposure to Mac/Linux management environments. \n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Description \n We are seeking an experienced and motivated Lead Software Engineer - Athena to work on our Risk platform and Aggregation system. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss (P&L) analysis for our trading operations. \n Job Responsibilities \n\n • Build and maintain robust software solutions supporting rates trading activities.\n, • Collaborate closely with quantitative analysts, traders, risk managers, product managers, and other technology teams.\n, • Develop scalable, high-performance Python code to process large volumes of market data and perform complex financial calculations.\n, • Implement risk metrics, P&L attribution frameworks, and data pipelines connecting trading systems to downstream consumers.\n, • Participate in architectural decisions, code reviews, and technical design sessions to shape platform evolution across Rates and Equities.\n, • Gather requirements from business users and translate business needs into technical solutions; communicate technical constraints in business terms.\n, • Maintain and enhance existing and legacy applications when required.\n\n Required qualifications, capabilities, and skills \n\n • Minimum 10 years of hands-on Python development experience.\n, • Strong preference for candidates with a financial services background.\n, • Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices.\n, • Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases.\n, • Strong verbal and written communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.\n, • Proven ability to gather requirements and collaborate across multiple teams and functions.\n, • Capability to translate business needs into technical solutions and explain technical constraints in business terms.\n, • Willingness to understand and work on legacy applications when required.\n\n Preferred qualifications, capabilities, and skills \n\n • Prior experience with financial risk stack platforms such as SecDB, Quartz, or Athena.\n, • Knowledge of rates products including Swaps, Securities, Options, and Repo.\n, • Familiarity with risk methodologies and P&L calculation frameworks.\n, • Experience with distributed systems and real-time data processing.\n, • Proficiency with relational and NoSQL databases.\n, • Experience with web technologies such as React.\n, • Knowledge of modern development practices including CI/CD pipelines and containerization.\n, • Exposure to quantitative finance concepts and market risk measures.\n, • Understanding of regulatory reporting requirements in financial services.\n, • Experience using agentic AI models/tools for rapid development (subject to enterprise authorization and secure usage expectations).\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 AND Digital to connect them with exceptional professionals for this role. \n Senior Software Engineer, 3 month contract \n We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. \n Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. \n About you: \n\n • You care deeply about producing high-quality work that delivers real value\n, • You’re comfortable navigating ambiguity and solving complex problems collaboratively\n, • You bring strong expertise in your craft, alongside a willingness to keep learning\n, • You communicate clearly and build trust quickly with clients and teammates\n, • You’re pragmatic, adaptable and outcome-focused\n, • You value low-ego collaboration and enjoy working as part of multidisciplinary teams\n\n What you’ll bring to the table: \n\n • Design, implement, and maintain high-performance embedded and real-time software components in C++, including hardware abstraction layers, device drivers, and data acquisition pipelines\n, • Define and drive technical strategy, proactively identifying and mitigating cross-team dependencies and technical debt while setting the long-term vision for embedded architecture\n, • Act as a technical bridge, synthesising and communicating complex architectural decisions to non-technical stakeholders (including Product, Clinical, and Regulatory teams) to ensure alignment on project goals.\n, • Mentor and grow engineers, fostering a culture of technical excellence, code quality, and professional development within the broader software team\n, • Ensure software quality through code review, unit and integration testing, and strict adherence to the software development lifecycle under IEC 62304\n, • Collaborate with electronics and FPGA teams on hardware-software interfaces, supporting hardware bring-up, system integration, and complex debug\n, • Contribute to risk management and design documentation activities, including software hazard analysis and traceability in line with ISO 14971 and CoMind’s QMS\n, • Participate in design reviews, sprint planning, and cross-functional technical forums, contributing to a high-performance engineering culture\n, • AI is fundamental to our culture; lead the team in embracing AI tools to innovate and improve engineering efficiency\n\n AI Statement \n We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process. \n Equal Opportunities Statement \n Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. \n We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Lead Software Engineer - Proxy/SSE Network Security \n As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Enterprise Technology, 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 • Executes creative Network security 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, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Architect and implement Zero Trust Network Access (ZTNA) patterns for user-to-app and user-to-internet access, minimizing implicit trust and reducing lateral movement.\n, • Build and operate an Identity-Aware Proxy (IAP) / policy enforcement point for web and application access, enforcing identity, device, and context-based policy decisions.\n, • Implement or integrate Secure Gateway / Secure Web Gateway (SWG) capabilities (URL filtering, TLS inspection where approved, malware protection, sandboxing, egress controls, DNS security).\n, • Experience with other SaaS based Secure Gateway vendor e.g. Zscaler, Netskope, paloalto, Broadcom ProxySG etc\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, • Good understanding of network infrastructure, network security concepts and application layer protocols (http/https) and vulnerability mitigation\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Own the US perimeter, proxy, and SSE/SASE engineering roadmap and execution, including intake, prioritization, dependency management, delivery governance, and stakeholder alignment across cybersecurity, network services, operations, and application and platform teams.\n, • Define and operationalize standards, reference architectures, and reusable engineering patterns for perimeter and egress controls, including forward proxy and secure web gateway patterns, access brokering and identity-aware access concepts where applicable, enterprise egress enforcement, segmentation and policy patterns, and design considerations such as TLS inspection and traffic steering, expressed at a pattern and control-integration level.\n, • Provide engineering leadership across edge and connectivity adjacencies that materially impact perimeter posture and service delivery, including Cisco and Arista edge environments, colocation and interconnect ecosystems (including Equinix Fabric), and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink, with awareness of multi-cloud interconnect considerations.\n, • Establish and run governance mechanisms that accelerate remediation while preserving strong controls, including backlog governance, exception handling, risk acceptance and closure workflows, traceability and auditability requirements, and reporting that ties delivery milestones to risk reduction and resilience outcomes.\n, • Drive operational excellence at scale for perimeter, proxy, and SSE services in the US, including incident, change, and problem management rigor, observability and resiliency validation practices, automation to improve repeatability and evidence quality, reduction of client and partner impact, and execution of Technology Lifecycle Management (TLM) and modernization outcomes tied to stability and risk reduction.\n\n Required qualifications, capabilities, and skills \n\n • 5+ years in network security / SASE/ SSE/ identity security / security engineering (or equivalent depth).\n, • Strong understanding of Zero Trust principles, policy-based access, segmentation, and secure egress.\n, • Hands-on experience with proxy/gateway architectures (forward proxy, reverse proxy, IAP patterns) and secure internet access controls.\n, • Deep knowledge of SAML, OIDC, OAuth 2.0 concepts, JWT (signing, verification, JWKs, rotation, scopes/claims, replay protection).\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, • Demonstrated experience delivering regional execution ownership in the US (or North America) for infrastructure and/or security platforms, including prioritization, cross-team coordination, and sustained accountability for operational and delivery outcomes.\n, • Experience supervising engineers and delivering cross-team remediation, modernization, and platform programs with clear scope, dependency management, delivery milestones, and measurable outcomes.\n, • Strong knowledge of network and perimeter security architecture and controls, including segmentation, routing and policy considerations, encryption and access control patterns, and defense-in-depth design principles.\n, • Experience designing, delivering, or operating proxy and/or SSE capabilities at enterprise scale, including the ability to translate security requirements into deployable patterns and operational guardrails.\n, • Strong experience translating security requirements into deployable edge and perimeter-adjacent connectivity patterns, including Cisco and Arista environments, and the ability to align engineering decisions to operational and control requirements.\n, • Working knowledge of interconnect and colocation connectivity models (including Equinix Fabric) and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink, with the ability to incorporate these into perimeter and egress designs without compromising stability or controls.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience integrating US delivery requirements and stakeholder needs into global standards, reference architectures, and governance models while maintaining a consistent global risk posture.\n, • Experience leading AI-threat-informed remediation programs, including adapting standards and engineering patterns to account for high-velocity reconnaissance, rapid technique iteration, and automation-driven exploitation attempts, without sacrificing control integrity or operational stability.\n, • Experience building enterprise-scale governance programs for security engineering, including controls-by-design, exception frameworks, audit-ready traceability, and measurable risk reduction reporting.\n, • Experience with large-scale operations for externally facing or security enforcement services, including observability strategy, resilience testing, incident response alignment, and reduction of repeat incidents and client-impacting events.\n, • Experience designing and operating hybrid edge architectures and cloud interconnect patterns across multiple cloud providers.\n, • Security certifications such as CISSP, CCSP, or comparable credentials.\n\n Employer Description \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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \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 JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \n Organization Description \n Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you - and the products you deliver - will thrive. \n High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment. \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 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 Just Eat to connect them with exceptional professionals for this role. \n Ready for a challenge? \n Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. \n 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 We're looking for an experienced Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech at JET. This team sits at the heart of JET's retail media data platform, responsible for the infrastructure, pipelines, and data products that power how advertisers understand, optimise, and grow their campaigns on the JET platform. \n This is not a typical Senior Data Engineer role. You'll work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers, product managers, and ML engineers to turn complex data challenges into reliable, scalable production systems. \n We're building a lot: a TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have the opportunity to work on all of it. \n Critically, this role operates in a highly cross-functional environment. You'll work alongside JET's central Data & Analytics organisation, Platform Engineering, and other technology teams aligning on shared infrastructure standards, contributing to joint working groups, and ensuring retail media data products integrate cleanly with the broader JET data ecosystem. \n As a senior member of the team, you'll do more than code you'll help define best practices, mentor engineers, and raise the technical bar across the team. \n These are some of the key components to the position: \n\n • Design and build scalable data pipelines and event streaming architectures across batch and near-real-time workloads, with a focus on reliability and data quality.\n, • Develop and maintain Gold Layer data marts in BigQuery using dbt Core, with a strong grasp of top-down/bottom-up data modelling methodologies (Kimball, OBT, or equivalent).\n, • Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform, including attribution pipelines supporting campaign performance and incrementality measurement.\n, • Contribute to Retail Media event tracking infrastructure, schema governance, SLA/SLO monitoring, and data quality validation across the unified events pipeline.\n, • Support the development of a semantic layer (Cube.dev/Helix) bridging BigQuery Gold tables to downstream BI tooling.\n, • Begin to contribute to architecture discussions beyond your immediate team, identifying improvement points in individual components and the system as a whole, with a clear path to shaping platform-level decisions at Staff level.\n, • Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog.\n, • Collaborate with ML engineers and data scientists to productionise models and agentic tooling built on internal AI platforms, with hands-on use of AI-assisted development tools such as Claude.ai, OpenAI, GitHub Copilot, and Cursor as part of your everyday engineering workflow.\n, • Work cross-functionally with Data & Analytic\n, • s, Platform Engineering, and other JET technology teams, contributing to shared standards, joint initiatives, and platform-level decisions that affect the broader data estate.\n, • Mentor engineers within the team and contribute to technical documentation, decision-making frameworks, and engineering standards.\n\n What will you bring to the team? \n\n • \n Demonstrable senior-level experience building and delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). \n • Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus.\n, • Deep expertise in data pipeline design: batch vs. streaming, ETL/ELT, schema design, partitioning, and efficient storage patterns.\n, • Hands-on experience with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation at scale.\n, • Solid grounding in data warehouse and data lake architecture, including dimensional modelling and layered architectures (Gold/Silver/Bronze or equivalent).\n, • Production experience with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg, Kinesis, DynamoDB), you're comfortable operating across both clouds. \n, • Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.)\n, • Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems healthy and well-monitored.\n, • Active engagement with the evolving AI/ML tooling landscape — you integrate AI-assisted development tools (Claude.ai, OpenAI, GitHub Copilot, Cursor, or equivalent) into your daily workflow and are curious about how LLMs and agentic systems are reshaping how data products are built and operated.\n, • A track record of contributing to and shaping design decisions beyond your own work, through standards, technical documentation, or supporting the growth of colleagues.\n, • Comfortable working across a matrixed, cross-functional environment, able to operate effectively within shared platforms, align with central teams, and shape technical decisions beyond Insights & Enablement\n\n At JET, this is how we play \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. \n At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. \n Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n What else is cooking? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. \n Are you ready to take your seat? Apply now! \n #LI-NB2

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 Conveo.ai to connect them with exceptional professionals for this role. \n What we are building at Conveo \n Conveo is the AI research platform enabling fast, affordable, and high quality consumer / B2B research. Global brands like Unilever, Google, and Orange use our AI video interviewer to across insights, marketing, and product teams. This role can sit in either our London or Antwerp office. \n #1 What problem are we solving and why is this an important problem to solve \n The current/traditional research methods companies rely on are slow, expensive, and superficial. Running great research also requires expertise which is a blocker to many companies. That directly affects how well companies understand their customers and how well they can serve them. \n #2 The team you will join \n You will join an extremely talented team of incredibly passionate, high-energy people. We go the extra mile while having the best time of our lives. Our team has the combination of decades of market research knowledge, incredible engineering ability, and experience building companies. \n #3 How we operate \n\n • \n We truly care about our clients and the problem we solve. That means we humbly go the extra mile every time. \n • \n Our engineering team talks directly with our customers. No layers in between. \n • \n We work hard and we have fun. \n • \n To keep our quality bar incredibly high, we want to execute with the smallest possible team. \n\n The Role \n As a Senior Full-Stack Engineer at Conveo, you'll spearhead the development lifecycle for the AI-powered platform, taking ownership of features from initial specifications through deployment. You'll build applications where AI is seamlessly integrated as core technology, not just an add-on feature. You'll stay at the cutting edge of AI capabilities. \n A big part of your role will involve direct contact with our customers. Since we have no product managers, you'll be responsible for directly interfacing with clients, understanding their needs, and translating those into technical solutions. This customer-facing aspect is crucial for ensuring we build exactly what solves their problems. \n Beyond coding, you'll actively participate in product refinement and brainstorming sessions, directly influencing both what we build and how we build it, making this an opportunity to have significant technical and strategic impact. \n What We’re Looking For \n\n • \n 6+ years of experience building full-stack applications with TypeScript and Node.js. \n • \n Strong backend experience: designing APIs, working with PostgreSQL, and managing background jobs and async workflows. \n • \n Solid frontend skills with React. Experience with React Router v7 or Remix is a plus. \n • \n Experience with cloud infrastructure (AWS and/or GCP) — you're comfortable with services like S3, media pipelines, and deployment tooling. \n • \n Experience building AI-driven applications (e.g. prompt engineering, working with LLM APIs, and/or fine-tuning experience are a plus). \n • \n Can independently lead projects from concept to launch. \n • \n Excellent written and verbal communication skills in English with a keen eye for detail. \n • \n A collaborative mindset, able to work autonomously in a small, fast-paced team. \n\n Why Join Us? \n\n • \n Work with a highly experienced technical team. \n • \n Work with the latest AI models at the cutting edge of what's possible. \n • \n Work at a hyper-growth, Y Combinator-backed startup where speed and impact matter. \n • \n Collaborate with a team that is obsessed with excellence and execution. \n • \n Competitive compensation, including meaningful equity (stock options) with real upside. \n • \n Hybrid working model with offices in London, Antwerp, and New York. We like to stick to 3 days a week. \n • \n Company socials (rooftop drinks, dinners, sports, run clubs). \n • \n Summer and winter off-sites: Past locations have been Austria and Las Vegas, and we’re headed to Portugal in June! \n • \n Private health insurance. \n • \n Enhanced employer pension contribution. \n • \n Earn up to $5,000 for every successful candidate you refer. \n\n Compensation Range: $80K - $180K

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you’ll realise this is a modern software engineering environment, because it has to be. We’ve made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. \n Node.js/Typescript Backend Engineer \n We’re a multi-channel, multi-brand business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All of this equals over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match. \n We don’t think we’re exaggerating when we say we have one of the most exciting engineering environments in the country. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and to solve real-world challenges. And you’ll get to see your work powering applications used by millions of people across the UK. \n About the Team \n You’ll be part of the Martech engineering domain, an independent and empowered engineering initiative created to address the rapid growth and complexity within the Customer & Data division. \n Martech brings together key products from Customer Decisioning (focused on customer data) and Customer Loyalty (supporting the Nectar brand), with a mission to build cross-channel and cross-brand marketing tools that enable data-driven, world-class customer experiences at scale. \n Within Martech, you will work in the MMH (Multichannel Messaging Hub) team. MMH orchestrates campaign delivery across email, push notifications, and personalised content, supporting all brands within the Sainsbury’s Group. \n The team consists of 7 engineers, a Product Manager, and an Engineering Manager, working collaboratively in an Agile (SCRUM) environment with a strong focus on communication, shared understanding, and continuous improvement. \n About the Role \n As a Node.js/TypeScript Engineer, you will design and implement server-side logic within a microservices architecture, contributing to the delivery of scalable, high-performance services. \n You will work closely with cross-functional stakeholders to define and refine solutions, taking ownership of shaping epics and breaking them down into actionable engineering work. This includes refining technical user stories, explaining requirements to the team, and ensuring alignment across stakeholders. \n The role involves building and integrating services that support large-scale, data-intensive applications, interacting with APIs, event-driven systems, and external platforms. \n More about the Role \n\n • Define technical solutions aligned with MMH team standards and Sainsbury’s engineering principles\n, • Design, build, test, and deploy services and enhancements\n, • Ensure compliance with quality standards and successful production deployment\n, • Refine epics and technical user stories, translating them into clear and structured Jira tickets\n, • Liaise with stakeholders to clarify requirements and ensure shared understanding\n, • Communicate technical solutions clearly to engineers and non-technical stakeholders\n, • Contribute to microservices-based architectures supporting large-scale datasets\n, • Integrate systems with APIs, event-driven platforms, and third-party services\n\n Ways of Working \n\n • Strong communication skills, engaging effectively with technical and non-technical stakeholders\n, • Collaborative mindset, working closely with cross-functional teams\n, • Comfortable working within SCRUM Agile methodologies and adapting to team practices\n, • Demonstrates empathy and supports team members to deliver effectively\n\n About You \n\n • Strong understanding of engineering principles and architectural best practices\n, • Comfortable owning and refining ambiguous problem spaces into structured engineering work\n, • Able to engage stakeholders, clarify requirements, and translate them into actionable tasks\n, • Confident explaining technical concepts to a range of audiences\n, • Passionate about building scalable, high-quality solutions\n, • Supports team delivery through collaboration, communication, and shared ownership \n \n\n Essential Criteria \n Technical Expertise \n\n • Proficiency in JavaScript, TypeScript, and Node.js\n, • Experience working with microservices architecture\n, • Experience handling large-scale datasets (millions of rows)\n, • Strong knowledge of REST, JSON, and SOAP APIs\n, • Experience writing unit, integration, and end-to-end tests\n, • Hands-on experience with CI/CD pipelines (GitHub Actions)\n, • Experience using Git and GitHub\n\n Cloud & Platform Technologies \n\n • Familiarity with Kubernetes\n, • Experience with AWS Serverless services and S3\n, • Infrastructure as Code using Terraform\n\n Data & Streaming \n\n • Experience with Snowflake\n, • Experience working with Kafka\n\n Observability & Monitoring \n\n • Knowledge of tools such as NewRelic or Grafana \n \n\n Desirable criteria: \n\n • Familiarity with Salesforce Marketing Cloud and its APIs\n, • Familiarity with Coding Agent and AI-driven development best practices \n \n\n Location and Working Pattern \n\n • London-based role\n, • Flexible working approach combining remote and in-office collaboration \n \n\n Benefits and Rewards \n As well as lots of on-the-job training and development opportunities, you’ll get: \n\n • Colleague discount across Sainsbury’s, Argos and Habitat\n, • 10% side project / personal development time\n, • Generous holiday allowance, with holiday buying scheme\n, • Bonus scheme – up to 10% of base salary\n, • Pension plan\n, • \n Access to discounts on gym memberships, restaurants, holidays and more \n\n Work-life balance is important to us, so we offer flexibility in how, where and when you work, combining remote and collaborative working. \n We are committed to being a truly inclusive retailer. You’ll be supported, developed, and encouraged to grow your career, with opportunities across teams and the wider business. \n We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: \n \n Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. \n \n Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. \n \n Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. \n \n Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).

hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. \n Why Technology at loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. \n Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. \n The impact you'll have: \n As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed. \n Your responsibilities include: \n\n • \n Own the team's functional KPIs, defining the measurable outcomes that show our impact. \n • \n Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same. \n • \n Champion AI adoption, applying it to both engineering processes and solutions. \n • \n Coach our engineers, guiding their growth. \n • \n Build tools to make the Boost team more effective and improve platform governance. \n\n We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams. \n For a better understanding of our work, refer to some of our blog posts: \n\n • \n How loveholidays is solving the technical excellence paradox \n • \n Your AI Hates Your Prompts (And So Do You) \n • \n Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works \n • \n Does website speed contribute to customers booking holidays online? \n • \n Creating a Zero Surprises Culture \n\n Or our open source contributions: \n\n • \n github.com/loveholidays/ripley \n • \n github.com/loveholidays/phrasebook \n • \n github.com/loveholidays/po-test \n • \n github.com/loveholidays/mcp-html-share \n\n As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them. \n Your day to day: \n You will: \n\n • \n Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles. \n • \n Drive initiatives to apply AI to build better solutions and improve our engineering process. \n • \n Build tooling and processes to accelerate and enable our platform development. \n • \n Design and oversee impactful systems that run reliably at cloud scale. \n • \n Write and speak about our tech work to raise our engineering profile. \n\n Your skillset: \n\n • \n Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software. \n • \n Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices. \n • \n Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration. \n • \n Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes. \n • \n A track record of building and optimising scalable, high-performance websites. \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. \n The interview journey: \n\n • \n 1st stage interview with a member of our Talent Team \n • \n Introduction to loveholidays Engineering with our VP of Engineering (60 mins) \n • \n Presentation/Case Study with our VP and CTO (60 mins) \n • \n Technical interview with 2 of our Principal or Heads of Engineering (60 mins) \n

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 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: \n\n • Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.\n, • We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\n\n This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. \n How we work: \n\n • Risk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\n, • You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.\n\n What will you be working on? \n\n • Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code\n, • Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API\n, • Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates\n, • Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance\n, • Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations\n, • Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance\n\n What do you need? \n\n • Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.\n, • Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.\n, • Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment\n, • End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break\n, • A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality\n\n Nice to Have: \n\n • Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models\n, • Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable\n, • Experience with model monitoring and drift detection systems in production\n, • Track record of migrating teams from manual ML workflows to platform-based approaches\n\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 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. \n Why Technology at loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n Technology at loveholidays underpins our vision to become the global leader in packaged holidays. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. \n Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. \n About the team: \n Our lean and dedicated technical team of 5 currently includes the Senior Business IT Manager, two Senior System Administrators, and a System Administrator. You will be the third Senior System Administrator, playing a key role in supporting our 400 staff across the 5th and 6th floors of our Hammersmith HQ. The team also provides regular support to our Dusseldorf office (25 people) with occasional travel, and remotely supports our two outsourced call centres located in India and South Africa. \n The impact you’ll have: \n As a Senior System Administrator, reporting directly to the Senior Business IT Manager, you'll be responsible for the strategic and high-level operational support necessary to ensure the smooth, day-to-day running of all IT systems for every user across all regions. This role acts as a key escalation point for both internal and external stakeholders. \n Your day-to-day: \n\n • \n Support, and administrate a large-scale, multi-platform estate encompassing Google Workspace, Microsoft Azure, and Jamf Pro \n • \n Serve as the primary contact for network issues, collaborating with the broader senior team to resolve problems and conduct necessary network maintenance across different sites. \n • \n Lead large event meeting setup, support and general AV support/break-fix as needed and support 20 Google Meeting rooms. \n • \n Manage multiple queues of tickets using Freshservice within our SLA. \n • \n Manage and run weekly joiners and leavers, account creations and deactivations. \n • \n Support UK Office, Ireland Office and Dusseldorf office (Onsite and remote). \n • \n Completing technical projects in line with quarterly business key results. \n\n Your skillset: \n\n • \n 8+ years working experience as an IT Support Engineer or Administrator \n • \n Degree in a technical subject or industry standard certificates \n • \n Strong working knowledge of Google Workspace, Azure and JAMF \n • \n Strong working knowledge in networking \n • \n Strong working knowledge of managing Mac and Windows devices in an enterprise environment \n • \n Strong working knowledge of managing iOS and Android devices in an enterprise environment \n • \n Strong working knowledge of setting up AV and running large meetings \n\n Desirable: \n\n • \n Experience with Palo Alto, Aruba and Cisco \n • \n Managing AI tools in an enterprise environment, we use Gemini, ChatGPT and Claude \n • \n Experience with n8n in an enterprise environment \n\n The interview journey: \n\n • \n Interview with a Talent Partner - 30 mins \n • \n 1st Stage with Hiring Manager and Senior Team Member(s) - 45 mins \n • \n 2nd Stage - Case Study Presentation and Technical Interview - 1 hour \n • \n 3rd Stage - Key External Stakeholders - 1 hour \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

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 Version 1 to connect them with exceptional professionals for this role. \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 About the Role \n We are seeking a Senior AI Product & Research Engineer (Consultant) to help design, prototype, and scale enterprise-grade AI products. This role combines deep technical AI expertise with strong product intuition and hands-on experience leveraging modern AI development tools and coding agents. \n You will work closely with leadership, engineering, and research teams to translate ambitious AI concepts into deployable, secure, and scalable production systems. \n What You Will Do \n\n • Translate business and research objectives into scalable AI product architectures.\n, • Rapidly prototype AI-driven applications using modern AI coding agents and developer copilots.\n, • Design and implement enterprise-grade AI systems across model development, evaluation, and deployment.\n, • Lead applied research efforts across LLMs, agentic systems, retrieval architectures, and applied ML.\n, • Establish evaluation frameworks to measure model quality, safety, robustness, and business impact.\n, • Architect production-ready AI applications with strong observability, monitoring, and iteration loops.\n, • Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions.\n, • Mentor internal engineers on modern AI development workflows and best practices.\n\n Qualifications \n What We’re Looking For \n\n • 8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development.\n, • Demonstrated experience building and shipping enterprise-grade AI products.\n, • Deep familiarity with modern AI stacks (LLMs, RAG systems, fine-tuning, embeddings, orchestration frameworks).\n, • Hands-on experience using AI coding agents and AI-assisted development tools in production workflows.\n, • Strong product instincts: ability to balance technical feasibility, business value, and user experience.\n, • Proficiency in Python and modern AI frameworks.\n\n Nice to Have \n\n • Experience deploying AI systems in regulated or security-sensitive environments.\n, • Familiarity with distributed systems and cloud-native architectures.\n, • Background working at leading AI labs, big tech, or high-performance startups.\n, • Experience designing internal AI platforms used by multiple teams.\n\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 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: https://www.youtube.com/watch?v=F_d3ELTH5zo

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 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 \n We’re looking for a seasoned, senior Data Engineer with a strong software engineering background to join our Scalable Growth team within the Global Product Tribe. \n In this role, you’ll report directly to the Scalable Growth Engineering Lead while embedding day-to-day with the Marketing Platform team. You will serve as the technical authority on data architecture, bridging the gap between platform engineering and analytics engineering. You’ll bring maturity, resilience, and scalability to our data infrastructure—building and shaping systems that handle high-volume streaming and batch data to fuel our global marketing engine. \n If you thrive in an environment where you can scope complex problem spaces, mentor engineers in data best practices, and directly impact how Wise attracts millions of customers globally, this is the role for you. \n How we work \n Scalable Growth is dedicated to building enabling technology that helps Wise acquire customers at the lowest possible cost. \n Within this space, the Marketing Platform team owns the data pipelines, internal tools, and integrations with third-party vendors (e.g., Meta, Google) that power our acquisition channels. As our dedicated data lead, you’ll work cross-functionally with engineers, product managers, digital analytics leads, and marketing stakeholders (Paid, Organic, CRM) to transform our marketing data infrastructure into a true platform product. \n What will you be working on? \n\n • \n Drive Data Architecture & Resilience: Audit, map out, and elevate our current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg). \n • \n Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets. \n • \n Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation—bringing a strong analytics engineering mindset (specifically via dbt) to raw data landing. \n • \n Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house, building end-to-end solutions rather than isolated data plumbing. \n • \n Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap. \n • \n Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring. \n\n Qualifications \n Qualifications \n What do you need? \n We are fully aware that it is uncommon for a candidate to have all skills required, and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more, we do want to hear from you! \n\n • \n Python & Big Data Expertise: Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg). \n • \n dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration. \n • \n Data Architecture Mastery: A strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices. \n • \n Product & Discovery Mindset: Ability to take a vague problem statement, independently uncover the requirements, scope project milestones, and drive solutions end-to-end. \n • \n Cross-functional Stakeholder Management: Excellent communication skills with the ability to bridge tech, marketing, and analytics, turning marketing needs into crisp engineering roadmaps. \n\n Nice to Have: \n\n • \n Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations). \n • \n Familiarity with modern AI/ML data integration practices. \n • \n Background in fintech or fast-scaling tech platform environments. \n\n Additional Information \n Additional Information \n Interested? Find out more: \n\n • \n Wise Tech Stack \n • \n Wise Engineering Blog \n • \n Engineering career map \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling, high-potential startups and VC-backed businesses. You will help startup founders, CTOs, and developers scale their products on Google Cloud. You will act as a trusted advisor, helping to accelerate their product delivery, optimize their technical architecture, and drive strategic business outcomes. \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 • \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 designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines.\n\n Preferred qualifications: \n\n • Experience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups.\n, • Background as a CTO, lead architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles.\n, • Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka).\n, • Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain or LlamaIndex).\n, • Active participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution.\n\n Responsibilities: \n\n • Deliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs (e.g., Plug n Play, local startup hubs), and industry conferences.\n, • Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams.\n, • Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities.\n, • Guide startups on implementing advanced AI workloads, including Generative AI, Large Language Models (LLMs), RAG systems, and agentic workflows, utilizing both first-party (Gemini) and partner model ecosystems (e.g., Anthropic).\n, • Partner with the Sales team to qualify opportunities, address technical objections, and design secure, scalable, and cost-effective cloud architectures.\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 Director, Full-Stack Engineer to join our team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead by example in system design, code quality and agile development to engineer scalable and \n, • performant solutions across the full software lifecycle\n, • Leverage AI to its full capability to accelerate innovation and solution delivery and promote a culture of \n, • AI lead development\n, • Collaborate in small cross functional agile teams of talented individuals comprising of skilled product \n, • managers, traders, sales teams and fellow technologists all of whom put the client at the heart of \n, • everything they do\n, • Drive continuous improvement within the team - we value relentless curiosity and a growth mindset\n, • Work with Product Managers to devise and deliver new innovative FX products\n, • \n Provide mentorship and guidance across the team, fostering professional growth and technical development \n\n To be successful in this role, we’re seeking the following: \n\n • Extensive years of experience in development\n, • Batchelor’s degree in Computer Science, Mathematics or a similar field \n, • Experience in building mission critical systems, ideally in financial institutions\n, • Ability to work well within a fast-paced environment \n, • A results driven personality \n, • A passion for changing the status quo, driving out of the box thinking. Ability to adapt and lead through \n, • Change\n, • Prior experience of Front office trading systems\n, • Low latency trading experience\n, • Co-location Infrastructure knowledge \n, • Experience working with high performance messaging systems\n, • Hands on development with FIX APIs\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 Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business. \n You’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company. \n The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability. \n You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business. \n What you'll be doing \n\n • \n Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. \n • \n Championing standards and contributing to the improvement of our analytics engineering culture. \n • \n Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines \n • \n Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. \n\n Our modern data stack \n You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. \n What we're looking for \n We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth. \n More specifically, we’re looking for: \n\n • \n Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability. \n • \n Strong experience with ELT pipelines and transformation at scale, ideally using dbt. \n • \n Experience with Snowflake or another modern cloud data warehouse. \n • \n Proactiveness in raising areas of data workflows that could be improved and suggesting solutions. \n • \n A collaborative working style and clear communication across technical and non-technical stakeholders. \n • \n Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows \n\n Interview process \n\n • \n Initial call with an engineer \n • \n 15 minute Cognitive Assessment \n • \n Onsite or Video Interview lasting 90 minutes, comprising of: \n \n • \n Introduction of the team and kind of work you could be doing daily \n • \n Interactive architecture/design exercise \n • \n Questions you may have about the company, role, etc. \n \n • \n A 60 minute chat with this role's primary stakeholders \n \n • \n Cultural/behavioural questions \n • \n Product mindset and ability to collaborate and communicate \n \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You'll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally. \n As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office's Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning. \n Job Responsibilities: \n\n • Design and develop AI/ML solutions for data management challenges\n, • Build prototypes to demonstrate value to stakeholders\n, • Collaborate with business lines and corporate functions to identify needs\n, • Partner with engineering and data science teams for solution delivery and integration\n, • Maintain comprehensive documentation of models, experiments, and processes\n, • Deliver written, visual, and oral presentations of modeling results to stakeholders\n, • Stay current with research in LLM, ML, and data science\n, • Identify and leverage emerging techniques to enhance solutions\n\n Required Qualifications, Capabilities, and Skills: \n\n • Formal training or certification in data and AI/ML concepts with expert applied experience\n, • Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL\n, • Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher\n, • Demonstrated ability to solve complex problems with multiple constraints\n, • Ability to articulate business needs to technical leadership and technical issues to business leadership\n, • Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience using AI agents and copilots to enhance business processes or user experiences\n, • Experience with data management\n\n The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase's data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development. \n Why Join Us? \n You will be part of a collaborative environment where your ideas and expertise drive real change. We offer opportunities to grow, move between teams, and work on projects that matter. Your work will help shape the future of data and AI at JPMorganChase. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Global Agency and Third Party Ecosystem team is the technical sales and consultant organization for the expanding ecosystem of Ad tech, MarTech and Agency partners. Our focus is on driving value for Brands through deep connections between the Third Party Ecosystem and Google advertising data, technology and AI. \n As an Ecosystem Sales Engineer, you will sit at the nexus of Google Platforms, Data, APIs, and Google Cloud. In this specialized role, you will turn pre-sales strategy into meaningful integrations with Third-Party Ecosystem (3PE) partners through technical consultation. Operating within a specialism like Measurement, Creative Tech, Creator Tech, or Agentic Marketing Solutions, you will conduct advanced technical in-depth to design optimal integrations that maximize impact for Advertisers and Google. \n Serving as the technical authority during the architectural design phase, you will ensure Google’s product priorities are seamlessly integrated while developing scalable cross-product blueprints for partner disciplines. Your deep technical engagements will directly fuel Google's future product roadmap by documenting advanced 3PE solutions, analyzing engaged offerings, and delivering actionable intelligence to our Product and Engineering teams. \n Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 8 years of industry experience in a client-facing pre-sales, technical consulting, or solutions engineering capacity, or 6 years of experience with an advanced degree.\n, • Experience with software development, programming (e.g., Python, JavaScript, SQL), and enterprise API integrations.\n, • Experience architecting technology and data solutions within digital advertising, MarTech, or cloud computing ecosystems.\n\n Preferred qualifications: \n\n • Experience developing advanced marketing activations, secure data pipelines, and custom API connections.\n, • Deep expertise across Google’s advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics).\n, • Ability to translate complex technical solutions into persuasive storytelling for executive audiences.\n, • Ability to bridge pre-sales agreement shaping, architectural foresight, and post-sales technical delivery.\n, • Proven track record in driving value within the third-party ecosystem (agencies, SIs, ISVs).\n\n Responsibilities: \n\n • Lead advanced, project-based technical engagements with qualified 3PE partners to uncover technology offerings and design optimal integration methodologies with Google.\n, • Develop repeatable integration blueprints and architectural plans spanning multiple Google products and APIs to scale across multiple partners within specific focus areas.\n, • Act as the technical authority during the design phase, ensuring critical Google product strategies are seamlessly incorporated into partner architectures.\n, • Translate deep partner engagements into actionable insights by documenting advanced 3PE solutions and engaged capabilities to influence core Google Product and Engineering roadmaps.\n

hackajob is collaborating with HSBC to connect them with exceptional professionals for this role. \n If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further. \n \n We’re one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. \n \n We’re currently seeking an experienced professional to join our team in the role of Senior Machine Learning Engineer. \n \n As our Senior Machine Learning Engineer you’ll join the Growth AI programme within Corporate & Institutional Banking (CIB) Data & Analytics. Growth AI is a key pillar of the Insights and Analytics space within CIB Data & Analytics. Our focus is to develop AI applications that identify new business opportunities, identify risks of client attrition, and enhance our collective capabilities to serve our customers. \n \n As an HSBC employee in the UK, you’ll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. \n In this role you will: \n \n\n • Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases\n, • Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership\n, • Build and maintain MLOps/LLMOps pipelines (CI/CD, automated testing, packaging, promotion/rollback, model/version management) to enable repeatable releases\n, • Develop reusable engineering assets (libraries, templates, reference architectures, infrastructure-as-code patterns) to reduce technical debt and accelerate delivery\n, • Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting\n, • Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to ensure end-to-end delivery meets control, auditability, and documentation expectations\n, • Translate business requirements into technical designs; communicate trade-offs and recommendations clearly to both technical and non-technical stakeholders\n, • Contribute to engineering standards and ways of working (code reviews, design reviews, documentation) and help uplift team capability through practical coaching\n\n \n To be successful in this role you should meet the following requirements: \n \n\n • Strong software engineering experience delivering end-to-end services in production (not just notebooks/experiments), with ownership for run/support considerations\n, • Proficiency in Python and modern engineering practices (clean code, testing, packaging, dependency management, Git-based workflows)\n, • Hands-on experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference)\n, • Practical MLOps experience: CI/CD for ML, model packaging and release management, automated validation, monitoring, and lifecycle management\n, • Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines\n, • Experience working with complex, multi-layered datasets (including imbalanced data) and integrating data pipelines into AI services\n, • Hands-on experience building and deploying web APIs using libraries such as Flask or FastAPI.\n, • Proficiency with database technologies such as SQL Server or Postgres, etc.\n, • Strong stakeholder communication skills: able to explain technical designs, risks, and operational considerations to wide-ranging audiences\n, • Good organisational skills and delivery discipline (prioritisation, time management, working across multiple initiatives)\n, • Proven track record designing, deploying and operating production ML/GenAI services in cloud environments, understanding the operational realities vs on‑prem (security, networking, scaling, resilience and cost management).\n, • Hands on experience building agentic LLM systems, including RAG workflows, tool/function calling and orchestration, and integrating external APIs and enterprise data sources to improve business operations with appropriate guardrails and evaluation.\n\n \n \n Opening up a world of opportunity. \n \n Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. \n \n If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via hsbc.recruitment@hsbc.com.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Our trading technology stack is undergoing a multiâyear convergence and modernization journey. You will play a pivotal role in shaping our nextâgeneration SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fastâpaced frontâoffice environments, enjoys direct interaction with traders, and wants to influence the reliability culture of a major global trading organization. \n As a Lead Site Reliability Engineer at JPMorgan Chase within J.P. Morgan Asset Management's Trading Technology group, you will be embedded directly within the software engineering team that builds and supports our frontâoffice trading platforms. \n Job Responsibilities: \n\n • Engage daily with traders across asset classes (Equities, Fixed Income, FX) to understand workflows, pain points, and reliability priorities.\n, • Act as a trusted engineering partner to the desk, ensuring systems are stable, performant, and aligned with business needs.\n, • Support live trading environments, including incident response, root cause analysis, and post mortem leadership. Work as a core member of the software engineering team, participating in daily standups and design discussions.\n, • Contribute directly to the codebase (Java, Kotlin, Python) to implement reliability improvements, performance optimisations, bug fixes, and automation.\n, • Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self healing workflows, and resilience engineering. \n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.\n, • Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.\n, • Drive improvements in latency, throughput, and stability across high volume trading applications.\n, • Build and maintain tooling for monitoring, alerting, and distributed tracing across global environments.\n, • Operate within a globally distributed engineering and trading organization, collaborating with teams in EMEA, US, and APAC.\n, • Partner with infrastructure, networking, cloud engineering, and cybersecurity teams to ensure end to end reliability.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Strong hands on experience in front office trading environments or similarly high pressure, low latency domains.\n, • Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.\n, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.\n, • Deep knowledge of reliability engineering principles: SLIs/SLOs, real-time telemetry, disaster recovery planning, capacity planning, and performance tuning.\n, • Experience designing and implementing observability frameworks for mission critical systems.\n, • Proven ability to lead incident response and drive long term remediation.\n, • Solid programming skills in Python, Java, or Kotlin, with the ability to contribute production grade code. Experience with microservices, distributed systems, and event driven architectures.\n, • Strong understanding of CI/CD pipelines, automated testing, and deployment strategies.\n, • Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly and decisively in high pressure situations.\n, • Strong leadership presence with a collaborative mindset.\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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â

hackajob is collaborating with Moneybox to connect them with exceptional professionals for this role. \n About Moneybox \n At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement. \n Job Brief \n We are looking for a Senior QA engineer to join our team, who enjoys working in a fast-paced environment. You will be working with a high calibre team to continuously develop new products/features. \n What you'll do \n\n • This is a hands-on role and as a senior member of the QA team, you’ll help ensure the quality of Moneybox products, reporting into the Senior QA lead.\n, • Seamlessly deliver numerous large and complex projects, acting as the sole QA on a squad, managing competing workstreams through effective prioritisation and time management.\n, • Foster a "quality is everyone's responsibility" philosophy, influencing team members to prioritise risk-based testing over traditional ticket testing.\n, • Collaborate with stakeholders and Compliance to define testing and release strategies that effectively balance risk, speed, and quality. \n, • Run engaging, cross-functional team meetings (e.g. amigos, go/no-go, incidents) that promote positive outcomes through effective coordination and issue prioritisation.\n, • Advocate for the use of AI tools and agents throughout the testing lifecycle, driving efficiency while layering in human critical thinking to validate outcomes.\n, • Assess features for test automation suitability, collaborating with engineers on various test types and working with the Automation team to build and promote stable end-to-end automation.\n, • Be a visible leader and role model within the QA team, mentoring/coaching others and actively supporting departmental operations to promote learning and innovation across the function.\n, • Represent Moneybox externally in the tech community, bringing fresh new ideas back to the team.\n\n Who you are \n\n • You're enthusiastic about working in a fast-growing Fintech and dedicated to making a positive impact on personal wealth, with an interest in technology, AI and QA developments.\n, • You possess an excellent understanding of testing techniques and can effectively coach and mentor your team on their application.\n, • You're comfortable in multi-disciplinary teams, working closely with developers, and demonstrate effective analytical, critical thinking, and problem-solving skills.\n, • You have proven experience in designing and implementing comprehensive test plans and contributing to automation frameworks for complex cross-functional projects.\n, • You exhibit effective organisational skills, meticulous attention to detail, and a pragmatic approach to bug reporting, understanding risk, impact, and dependencies.\n\n Experience & Skills \n\n • 5+ years of broad QA experience, with a number of years in a Senior/Lead QA role, including a proven track record of fast-paced delivery.\n, • Extensive backend testing skills and understanding of how to test complex logic, APIs, databases, migrations and 3rd party integrations, ideally related to payments or transactions.\n, • Deep understanding of testing Mobile apps and Web technologies and the intricacies of each platform.\n, • Broad experience with various automated testing techniques and a solid background in test data design and implementation strategies.\n, • Demonstrated experience leveraging existing AI tools to promote testing efficiency.\n, • Demonstrated ability to work effectively with senior leadership to build good relationships and foster quality as everyone’s responsibility.\n

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n AI Architect \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 As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards. \n This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. \n Key Responsibilities: \n\n • \n Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. \n • \n Evaluate and recommend AI technologies, modelling approaches, and platform components. \n • \n Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. \n • \n Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. \n • \n Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. \n • \n Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. \n • \n Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. \n • \n Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. \n • \n Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. \n • \n Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. \n • \n Ensure all AI systems comply with RELX Responsible AI Principles. \n • \n Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. \n • \n Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. \n\n Requirements: \n Essential - \n\n • \n Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. \n • \n Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. \n • \n Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. \n • \n Hands-on experience with vector databases and semantic search pipeline design. \n • \n Experience with Model Context Protocol (MCP). \n • \n Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. \n • \n Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. \n • \n Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. \n\n Desirable- \n\n • \n Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. \n\n\n • \n Knowledge of Responsible AI Principles. \n\n\n • \n Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. \n\n\n • \n Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. \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 employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. \n 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 loveholidays to connect them with exceptional professionals for this role. \n Why Technology at loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n Technology at loveholidays underpins our vision to become the global leader in packaged holidays. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. \n Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. \n About the team: \n You will be joining our growing Conversational AI team, which sits at the heart of our ambition to deliver intelligent, seamless customer experiences at scale. The team builds and maintains the AI-powered agents and tooling that power interactions across our contact centre and digital channels – increasingly leveraging agentic architectures, large language models and the latest Google Cloud AI capabilities. This is a collaborative, fast-moving team where curiosity and a willingness to learn are valued as highly as technical skill. \n The impact you’ll have: \n Reporting to the Lead Conversational AI Engineer, you will play an important part in building and maintaining the conversational AI systems that help our customers find and manage their perfect getaway. As a level 1 engineer, you will be supported to develop your skills and grow your confidence, contributing to real solutions from day one whilst building a strong foundation in modern agentic AI technologies and engineering best practices. \n Your day-to-day: \n\n • \n Build and maintain conversational AI agents using Google Dialogflow CX and Vertex AI Agent Builder, contributing to flows, fulfilment logic and agent configurations. \n • \n Support the development of agentic workflows – learning how to design multi-step, tool-using agents that can reason and act across systems to resolve customer queries. \n • \n Work with the Google Agent Development Kit (ADK) to assist in building, testing and iterating on agent capabilities under the guidance of more senior engineers. \n • \n Analyse conversational data and real customer interaction patterns to understand how users engage with our agents, surfacing insights that inform improvements to the customer experience. \n • \n Contribute to the testing and quality assurance of conversational flows and agentic pipelines, identifying and resolving errors or unexpected behaviour. \n • \n Assist in the analysis of conversational data and performance metrics to support continuous improvement of the user experience. \n • \n Collaborate with Conversation Designers, product managers and engineers to ensure technical implementations match the intended design and business goals. \n • \n Participate in team ceremonies including stand-ups, retrospectives and planning sessions, communicating your progress and raising blockers clearly. \n • \n Stay curious about developments in agentic AI, LLMs and the broader conversational AI landscape, sharing learnings with the team through show and tells or internal channels. \n\n Your skillset: \n We’re looking for someone who brings enthusiasm, a genuine interest in conversational and agentic AI technology, and the willingness to grow. You don’t need to have all the answers but you should be eager to find them. \n\n • \n Conversational AI Core: Foundational understanding of conversational AI concepts - virtual agents (intents, entities, dialogue management, fulfillment) through to LLM-driven agentic approaches. \n • \n Platform Exposure: Experience building virtual agents on conversational platforms (e.g., Google Dialogflow CX, Vertex AI Agent Builder, Amazon Lex, Rasa). \n • \n Software Engineering: Strong programming proficiency in Python or TypeScript or other programming language, backed by solid software engineering and infrastructure development practices. \n • \n Advanced LLM Orchestration: Experience designing LLM applications beyond basic APIs, including retrieval-augmented generation (RAG) pipelines, orchestration logic, and tool/agent workflows. \n • \n API Integration: Strong awareness of REST APIs and webhooks to effectively connect AI agents with backend systems and external tools. \n\n Cloud & DevOps: Familiarity with cloud deployment environments (preferably Google Cloud Platform) and CI/CD practices for AI workflows. \n Desirable: \n\n • \n Experience with the Google Agent Development Kit (ADK), LangChain, or similar multi-agent orchestration frameworks. \n • \n Practical familiarity with vector databases, hybrid search techniques, and advanced chunking strategies for optimizing RAG systems. \n • \n Knowledge of or previous experience within the travel sector or fast-paced B2C e-commerce environments. \n • \n Familiarity with version control tools (Git) and working effectively within an agile team environment. \n\n The interview journey: \n\n • \n TA screening - 30 mins \n • \n 1st stage video interview with Lead Conversational AI Engineer - 1 hour \n • \n Take-home engineering task \n • \n Final stage with Director of Business IT & AI Operations and senior stakeholders - 1 hour \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. \n As a protocol IMS/Telephony/NAS Firmware Engineer in Pixel Testing Engineering, you'll focus on carrier feature development/customization/testing and performance enhancement of IMS/Telephony/NAS features, working closely with Pixel SW teams and chipset vendors. You'll be the PoC for Pixel, launch testing for carriers in the region, overseeing cellular feature/regression/certification functional and performance test execution, debugging, analyzing and working with IMS/NAS/AS teams for the resolution. \n You will also be actively working to develop AI driven automation not only for automating your own tasks but also in innovating and contributing to streamlining processes used by the team. \n The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. \n Minimum qualifications: \n\n • Bachelor's degree in Communication Engineering, Electrical Engineering, a related field, or equivalent practical experience.\n, • 5 years of experience with IMS protocols and 3GPP NAS.\n, • 5 years of experience with LTE or 5G NR.\n\n Preferred qualifications: \n\n • Experiences in Android/Modem software development/testing/engineering, problem resolving and troubleshooting.\n, • Experience with programming, scripting or engineering automation using AI.\n, • Experience and understanding of 3GPP LTE/NR Layer 3 NAS protocol standards.\n, • Familiarity with IMS protocol standards, VoLTE, VoNR, VoWifi.\n, • Strong communication and collaboration skills.\n\n Responsibilities: \n\n • Develop, customize and plan tests of Android/Modem software to meet customer and project requirements in IMS/Telephony domain/NAS. Think critically of end user mobile use cases to uncover issues during the test campaign by systematically adding scenarios to test coverage for increasing confidence on Pixel product.\n, • Analyze Android/Modem IMS, NAS and AS protocol functional and performance issues.\n, • Collaborate with cross-layer teams (Telephony/IMS/NAS/AS) and cross-organization teams (Android SW, TPM/TAM and HW) for intime prioritization and resolution of issue ensuing high quality Pixel Android/Modem SW.\n, • Use AI and automation as a primary vehicle to execute work and enhance productivity, innovate solutions for issue triage and other mundane task.\n, • Generate ideas, develop features, build SW/HW systems and/or improve engineering processes and automation to help product velocity and quality.\n

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

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Are you a legally qualified professional who is excited by the opportunity to combine legal expertise with innovative AI-powered technology? \n Do you enjoy working closely with clients, helping them improve legal workflows, drive adoption, and realise measurable value from technology solutions? \n About our Team \n LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. \n About the Role \n We are looking for a Legal Engineer to join our Legal Engineers team. This role offers legally qualified professionals the opportunity to work at the intersection of law, technology and AI, helping law firms and in-house legal teams transform how legal work is delivered through AI-enabled workflows and practical legal technology. \n As a Legal Engineer, you will act as the bridge between LexisNexis technology and the legal professionals who use it every day. Working alongside Customer Success and Account Management, you will lead workflow discovery sessions, design and implement AI-enabled solutions, and help customers realise measurable improvements in efficiency, quality and adoption. You'll work closely with Partners, General Counsel, Knowledge Management, Innovation, Legal Operations and Technology teams to solve real business challenges. \n Responsibilities \n\n • Lead workflow discovery sessions with customers to understand current legal processes, identify pain points and define opportunities for AI-enabled improvement.\n, • Design, configure and deploy AI-enabled workflows and skills that align with customer processes and business objectives.\n, • Deliver targeted onboarding, enablement and adoption sessions tailored to different user groups and practice areas.\n, • Work alongside Customer Success to embed new workflows into day-to-day legal practice and drive sustained adoption.\n, • Monitor customer usage and identify opportunities to improve adoption, engagement and value realisation.\n, • Demonstrate measurable customer outcomes, including improvements in efficiency, quality, consistency and risk reduction.\n, • Act as the voice of the customer by translating workflow requirements, product gaps and customer feedback into actionable insights for Product and Development teams.\n, • Share best practices and reusable workflow solutions across customers and internal teams.\n\n Requirements \n\n • Qualification as a Solicitor in England & Wales, ideally with 3+ years' PQE gained within a large law firm or major in-house legal team.\n, • Experience working with complex legal workflows across transactional and/or contentious practice areas.\n, • Strong consulting, facilitation and stakeholder management skills, with confidence engaging senior legal professionals.\n, • A genuine interest in legal technology, AI and workflow transformation, with curiosity about how technology can improve legal service delivery.\n, • Excellent relationship-building skills and the ability to influence, collaborate and drive change across multiple stakeholders.\n\n Success in this Role \n Successful Legal Engineers help customers redesign how legal work is delivered through AI-enabled workflows and legal technology. They build trusted relationships with senior stakeholders, drive measurable adoption and usage, deliver practical workflow solutions, and provide valuable customer insight that shapes future product development. \n Work in a Way That Works for You \n We promote a healthy work/life balance across the organisation. 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 Working Pattern \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 About the Business \n LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

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