Streaming jobs in United Kingdom - Page 2

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Warner Bros. Discovery (WBD) Sports Europe represents WBD’s portfolio of sports brands, channels, and platforms in Europe. It collectively engages 130 million people every month, reaching fans and broad audiences in more than 200 markets and in 20 languages across all platforms where consumers are spending time: free-to-air TV, pay-TV, streaming, online and social. WBD Sports Europe includes the much-loved consumer brands Eurosport and TNT Sports in the UK and Ireland, as well sports programming and content on WBD’s free-to-air TV networks and streaming on HBO Max. They connect audiences with the greatest sporting events in the world. This includes being the Home of the Olympics Games in Europe; tennis’ Grand Slams; cycling’s Grand Tours, more than 1,000 live cycling broadcasts per year, the WHOOP UCI Mountain Bike World Series; the PGA TOUR year-round in some markets; the FIM Endurance World Championship; The Ocean Race; the FIM Speedway GP and every major winter sports World Championship and World Cup event. Your new role... As Warner Bros. Discovery Inc’s portfolio continues to grow – around the world and across platforms – the Global Technology & Operations team is building media technology and IT systems that meet the world class standard for which Discovery is known. GT&O builds, implements and maintains the business systems and technology that are critical for delivering Warner Bros. Discovery’s products, while articulating the long-term technology strategy that will enable Warner Bros. Discovery’s growing pay-tv, digital terrestrial, free-to-air and online services to reach more audiences on more platforms. From Amsterdam to Singapore and from satellite and broadcast operations to SAP, we are driving Discovery forward on the leading edge of technology. You will mainly be involved on WBD Sports. The channels moved in a technology transformation for all his equipment home of all countries in Europe based on a hybrid architecture on premise and cloud. London and Paris team manage the engineering and support of this new group surrounded by two playout center and all the markets in Europe from Eurosport. If you’re not afraid by the new technologies and you want to be part of a dynamic and international team, join us in the heart of the channel sport broadcast in 22 languages. Your role accountabilities... As part of the M2P Engineering team, this role provides Tier 2 support and engineering expertise for MAM and post-production platforms within a virtualized hybrid on-premises and cloud environment. Support: Tier 2 support Manage tickets escalated from Level 0 and Level 1 support teams Coordinate incident and problem follow-up with internal and external teams Follow up update on platform day to day with the support Tier 1 Plan maintenance activities Upgrade phases and reboot action coordination Monitor and maintain the overall health and performance of the platform Engineering: Manage short-term engineering project Collaborate with tier3 engineering team Gather workflow requirements from WBD Sports, TNT Sports and Eurosport offices Produce workflow, project and engineering documentation Design centralized workflows across MAM and Post-Production platforms Support users through change management and new projects implementation Qualifications & Experiences.. Degree in Technology, Engineering, Broadcast, or a related field Fluent written and spoken English French language skills are desirable Strong communication skills Adaptability to work in a fast-paced and continuously changing environment Ability to perform effectively under pressure, particularly when supporting production teams during live events Self-motivated and collaborative team player with a strong commitment to delivering high-quality customer service Excellent troubleshooting, analytical and problem-solving skills Minimum of 3 years of experience in Broadcast Technology in a support or engineering role Experience in Sports, News, Production and Documentary environments Experience with MAM and Post-Production tools Extensive Broadcast technical background (IP video 2110, AES 67, NMOS, video and audio formats and codec…) Good understanding of IT technologies and the associated challenge (network, virtualization, storage, cloud services, security…) Monitor emerging technologies and industry trends to ensure systems remain efficient, scalable, and aligned with business growth Nice to have Basic scripting and development skills Knowledge of AWS services Knowledge of microservices architecture General Work on shift (evening and weekend) Night work may be required depending on live events On-call rotation Based in London, UK Minimal travel expected Permanent contract #TECH Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

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 Data is at the heart of how Just Eat Takeaway.com builds products, serves customers, and enables teams to make smarter decisions. We're looking for a Head of Data Platform Engineering to lead the evolution of Mobius, our next-generation real-time data platform, and shape how data is accessed, owned, and used across our technology organisation. \n Leading a multidisciplinary organisation of platform and data engineers, you'll scale a platform built on a "Platform as a Product" mindset, creating a seamless self-service experience for engineering teams while championing a federated data mesh architecture. Working closely with engineering, product and domain leaders, you'll combine technical leadership with organisational design to build high-performing teams, influence platform adoption, and help shape the future of data at Just Eat. This knowledge will also help solve non-routine, strategic problems around data governance gridlocks and high-complexity distributed systems, ensuring the architecture and organizational design sustainably support data growth over a 12 to 24-month horizon. \n These are some of the key components to the position: \n\n • \n Lead, grow and develop a high-performing organisation of Technology Managers, Platform Engineers and Data Engineers, creating an environment where teams can thrive. \n • \n Own the strategy, delivery and operational excellence of Mobius, ensuring it remains a reliable, scalable and high-performing real-time data platform. \n • \n Champion a Platform as a Product mindset, continuously improving the developer experience through intuitive, self-service platform capabilities. \n • \n Partner with Engineering, Product and Domain leaders to drive adoption of data platform capabilities and federated data mesh principles across the organisation. \n • \n Build strong relationships across Product & Technology, influencing strategic decisions and aligning platform roadmaps without direct authority. \n • \n Define organisational structures, delivery roadmaps and engineering priorities that enable teams to scale effectively while maintaining high engineering standards. \n • \n Coach, mentor and develop Technology Managers, creating clear accountability, succession planning and leadership capability across the organisation. \n • \n Drive continuous improvements in platform reliability, scalability, performance and operational efficiency through modern engineering practices. \n • \n Collaborate with cloud and technology partners to maximise platform capabilities while ensuring responsible management of infrastructure investment. \n • \n Measure success through platform adoption, developer experience, operational excellence and engineering outcomes, using data to continuously improve performance. \n\n What will you bring to the team? \n\n • \n Proven experience leading and scaling large engineering organisations, including managing Technology Managers and building high-performing teams. \n • \n Strong engineering background across Platform Engineering, Developer Platforms or Cloud Infrastructure, with experience delivering large-scale distributed systems. \n • \n Experience building or operating modern data platforms, event-driven architectures or real-time streaming platforms. \n • \n A product mindset, with experience treating internal platforms as products and improving developer experience through self-service capabilities. \n • \n Ability to influence senior engineering and product stakeholders, building strong partnerships across complex organisations. \n • \n Experience defining engineering strategy, organisational design and delivery models that enable teams to scale effectively. \n • \n Strong understanding of modern cloud technologies, infrastructure as code, platform engineering principles and engineering best practices. \n • \n Excellent communication skills with the ability to simplify complex technical concepts for both technical and non-technical audiences. \n • \n A pragmatic, delivery-focused approach with the ability to balance long-term platform strategy alongside operational excellence. \n • \n A collaborative leadership style that champions our values of Lead, Deliver and Care, developing people, raising engineering standards and fostering a culture of continuous improvement. \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 are we delivering? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. \n Are you ready to join the team? Apply now! \n #LI-MM2

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n JOB PROFILE DESCRIPTION \n As a Palantir Technical Architect (Consultant) in Kainos, you’ll be responsible for designing and delivering technical components as part of a larger data solution. You will work closely with Solution Architects and Customer Architects to integrate these components into quality data solutions. \n Your responsibilities will include: \n • Successfully implementing functional and non-functional designs \n • Working closely with customer architects to agree functional and non-functional designs, including estimated effort, technical implications, and complexity. \n • Setting technical standards and works with engineers to ensure standards are upheld \n • Managing and estimating timelines underpinning technical component delivery \n • Contributing or owning technical solution design as part of a pre-sales process \n • Making a significant contribution to the data analysis community and wider data and analytics capability \n • Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction and leadership for your team as you solve challenging problems together \n MINIMUM (ESSENTIAL) REQUIREMENTS: \n • Experience of technical ownership for a component, sub-system or product (data ingestion, data streaming), including architecture, estimation, product planning and story creation \n • Proficient in client interaction including communication of technical decisions to non-technical audiences \n • Experience of applying standards for design (patterns), development (style guides), and operational readiness (automation, deployment) \n • Experience of designing, building and productionising modern, distributed data intensive applications \n • Experienced in Java, Scala or Python and comfortable with multiple programming paradigms (functional, OO) \n • Experience of deploying contemporary data stores such as object stores, document stores, key-value store, search, RDBMS, graph. \n • Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks \n • Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation \n DESIRABLE: \n • Comfortable with Data Warehouse methods and techniques \n • Actively shares their thoughts and views on data practices \n • AWS/Azure/GCP Certified in Data Services \n • Expertise in continuous improvement and sharing input on data best practice \n • Participation in development and/or technology communities \n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. \n Job summary \n As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. \n Job responsibilities \n\n • Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt\n, • Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance\n, • Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations\n, • Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads\n, • Write clean, testable Python/PySpark code using object-oriented principles and unit testing\n, • Implement infrastructure-as-code for the data platform using Terraform\n, • Containerize and deploy services using Docker, Kubernetes, and Helm\n, • Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support\n, • Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes\n\n Required qualifications, capabilities, and skills \n\n • Degree in Computer Science or a STEM-related field (or equivalent)\n, • Experience working in an agile and dynamic environment\n, • Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support)\n, • At least 5 years of recent, hands-on professional experience actively coding as a data engineer\n, • Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure)\n, • Experience writing Python using object-oriented programming and unit/integration testing practices\n, • Experience with SQL and familiarity with SQL-based workflow management tools such as dbt\n, • Experience with orchestration tools such as Airflow (or similar)\n, • Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar)\n, • Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure\n\n Preferred qualifications, capabilities, and skills \n\n • Data modeling skills\n, • Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar)\n, • Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines\n, • Experience with lakehouse patterns and table formats (e.g., Apache Iceberg)\n, • Experience with federated query engines such as Trino\n, • Experience designing automated tests (unit, component, integration, and end-to-end), including use of mocking frameworks\n, • Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar)\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations. \n As a Principal Technical Program Manager in our Commercial & Investment Bank, Payments Technology Team, you will drive delivery of the Large Payments Model (LPM) - a domain-specific foundation model trained on structured payments data (not language). LPM learns cross-cutting patterns from payments data and enables a single pretrained model to support multiple products, rails, and use cases. \n This role leads end-to-end execution across Applied AI/ML (model development), engineering (serving and integration), data/feature pipelines, and governance/controls, ensuring LPM is delivered with technical excellence, scalability, and downstream adoption. LPM is optimized for prediction and classification problems central to payments (e.g., fraud detection, risk signaling, payment optimization) - not generative chat. You will translate business, technical, and operational objectives into an integrated program plan, managing resources, timelines, and budgets (as applicable) while navigating ambiguity and driving change. \n Job responsibilities \n\n • Own the program plan for LPM delivery: milestones, critical path, dependencies, resourcing, and operating cadence across multiple teams.\n, • Oversee execution across resources, timelines, and budgets (as applicable); manage dependencies and control change in high-pressure, shifting environments.\n, • Drive alignment on LPM's delivery model and integration patterns for downstream consumers: real-time inference services, batch scoring, streaming integrations, and feature/signal delivery, including versioning and contract management.\n, • Coordinate the Science track: training data/label strategy, model objectives, evaluation gates, robustness/segmentation, calibration, explainability inputs (as required), and model release criteria.\n, • Coordinate the Production track: scalable data pipelines, model packaging, CI/CD, serving reliability, observability/monitoring, incident/rollback readiness, and cost/latency performance.\n, • Guide selection and implementation of appropriate platforms, tooling, and integration approaches to support LPM training/evaluation, serving, monitoring, and downstream adoption.\n, • Establish and run program mechanisms: sprint/program planning, cross-team standups, architecture reviews, risk reviews, release readiness, and executive updates.\n, • Manage RAID (risks, assumptions, issues, dependencies) proactively - especially around data readiness, integration timelines, platform constraints, and adoption readiness across products/rails.\n, • Partner with Risk/Compliance/Model Governance and controls to ensure documentation, traceability, approvals, and audit readiness are planned and delivered as part of the program.\n, • \n\n Required qualifications, capabilities, and skills \n\n • 7+ years experience in technical program management (or engineering + program leadership) delivering complex, cross-functional initiatives from design through production launch.\n, • Strong technical fluency across modern systems: distributed services, data pipelines, integration contracts (schemas, SLAs/SLOs, versioning), and operational readiness (monitoring, incident response).\n, • Experience delivering data/ML-enabled systems (you are not expected to build models, but must understand ML lifecycle concepts such as training data/labels, evaluation, deployment patterns, monitoring/drift, and feedback loops).\n, • Demonstrated ability to lead execution across Applied AI/ML, engineering, data, and control partners in a high-governance environment.\n, • Excellent written/verbal communication and executive-ready program reporting; strong ownership and ability to drive decisions under ambiguity.\n, • Experience working with vendor/partner solutions and/or platform teams, including evaluating options and managing delivery dependencies (as applicable).\n\n Preferred qualifications, capabilities, and skills \n\n • Payments/fintech domain exposure (transaction processing, fraud/risk, payment optimization, merchant/treasury services).\n, • Experience with multi-tenant platform delivery (serving multiple downstream teams/products with versioning, SLAs, and backward compatibility).\n, • Familiarity with cloud-native delivery, CI/CD, and observability (e.g., AWS; streaming and batch architectures).\n, • Experience working with model governance, risk/compliance, and audit requirements.\n\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We 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 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 Senior Analytics Engineer - Analytics Engineering \n \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 This role will sit within the global Data and Analytics team (DNA) in Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities. \n \n The Senior Analytics Engineer is a senior technical role responsible for thedesign and development of robust analytical data models. These critical data assets act as the authoritative source of truth, feeding systems across Finance, Operations, Marketing, and Enterprise Analytics. \n \n A key responsibility is pioneering AI/ML readiness by championing scalable feature sets and designing low-latency, event-driven data models to support real-time decisions (e.g., dynamic pricing, risk assessment) from quote to claims. \n \n Operating with autonomy, the role requires technical expertise and strategic thinking to set technical standards, mentor junior engineers, and drive best practices in data governance, quality assurance, and documentation. \n \n We are looking for someone with a strong technical background that loves the challenge of working on complex projects in a fast-paced environment. \n \n \n As Senior Analytics Engineer, you will: \n\n • \n Design and build the data models in our data warehouse, ensuring they are AI and ML ready \n • \n Integrate new sources of data to enrich our analytical capabilities and provide the necessary datasets for AI/ML models \n • \n Work with various business and engineering teams to ensure reliable, scalable, robust architecture for our analytics platform, with a focus on feature engineering pipelines \n • \n Managing our ELT pipelines that feed reporting systems and analytical teams \n • \n Work with the engineering and product teams to ensure application design accommodates reporting and analytics requirements, particularly for AI and ML features \n\n \n What are we looking for: \n\n • \n 3+ years of analytics or data engineering experience \n • \n Experience modeling and transforming data using tooling such as dbt \n • \n Experience with cloud data warehouses such as Snowflake or Databricks \n • \n Experience in building ML features \n • \n Any experience in real time streaming tools and frameworks, e.g. Apache Flink, is a plus \n • \n Any experience evaluating new tools and processes to drive the adoption and usability of AI and ML ready data \n • \n Familiarity with a variety of programming languages \n • \n Knowledge of the insurance domain will be an added bonus \n\n \n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Write high-quality Python code for front-office Technology Systems.\n, • Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows.\n, • Create alignment with stakeholders, both technical and non-technical.\n, • Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develop secure high-quality production code, and review and debug code written by others\n, • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.\n, • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Add to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years applied experience\n, • Bachelor's Degree in Computer Science or equivalent \n, • In-depth knowledge of Capital Markets and Equity Market Microstructure\n, • Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. \n, • Advanced proficiency in Python.\n, • Strong analytical, quantitative and problem-solving skills.\n, • Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps.\n\n Preferred qualifications, capabilities, and skills \n\n • Hands on experience in Quantitative Trading and/or Market Analysis.\n, • Familiarity and prior experience on KDB/q will be beneficial.\n, • Knowledge of FIX, Market Data, Order Management Systems will be a strong plus.\n, • Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required.\n, • Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \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’re seeking a future team member for the role of Engineer/Architect to join our Loans enablement Platform engineering team. This role is located in London or Manchester. \n In this role, you’ll make an impact in the following ways: \n\n • Lead architecture design and review across multiple pods, ensuring best practices and high-quality solutions.\n, • Mentor junior developers on software design, clean code, use of AI coding assistants, programming practices, and career development.\n, • Develop rapid, working prototype code to serve as a reference for engineering teams.\n, • Directly participate in building, testing, and deploying engineering solutions. Applicants should have a recent track record of hands-on technical leadership and execution within engineering teams.\n, • Influence and guide non-functional requirements including performance, scalability, resiliency, and recoverability.\n, • Promote modern development practices such as reactive/non-blocking programming and contract-first API design.\n, • Present architecture designs to stakeholders at various levels.\n, • Promote successful adoption of AI Software Development tooling.\n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent work experience; advanced degree is a plus\n, • Significant experience in software development required with a strong background in full-stack development and proficiency in architecture\n, • Experience in the securities, financial services or tech industry is a plus\n, • Proficiency in Java, SQL, REST APIs, and Streaming APIs\n, • Experience with cloud platforms, containers, and microservices architecture\n, • Knowledge of NoSQL database technologies\n, • Expertise in workflow technologies such as Camunda 7 & 8 and JBPM is a plus\n, • Experience with emerging technologies, including GenAI integration and AI Software Development tooling\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 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 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We’re looking for a Product Director in our platform team to own the platform product strategy and product management lifecycle from start to finish. Partnering with engineering leads and other product managers, you will define the platform roadmap, KPIs and product management best practices across multiple teams. By taking a platform-as-a-product approach, you will put scale, operational excellence, cost efficiency, security and reliability at the heart of the customer experience. You will collaborate across teams to interpret their requirements into platform features and manage stakeholders at all levels of seniority in the organisation. \n This is an exciting opportunity for an experienced leader to implement a technical product management discipline and key processes across the product team. You will define what good platform product management looks like and promote a customer-first culture across engineering teams. We’re looking for someone with domain expertise in platform infrastructure, PaaS, developer experience and platform operations. The ideal candidate will have built and scaled infrastructure platforms from start to finish, with experience launching products and handling migrations. \n You will be extremely hands-on and strategic in equal measure, with a proven ability to maintain a high quality of live service while delivering new features. The role requires strong prioritisation skills and the ability to drive a clear platform vision across technical and non-technical audiences. You will be a peer to engineering leads and help shape the technical direction and platform architecture to meet our business objectives. You will understand platform technology controls, security principles and how to manage competing demands on the platform. \n Required capabilities, qualifications, skills \n\n • 7+ years of platform product leadership or technical product leadership in software \n, • Track record of implementing platform-as-a-product across large cross-functional teams\n, • Domain expertise in cloud platform infrastructure, PaaS, DevEx, FinOps, SDLC and key platform capabilities such as events streaming, databases and secrets management \n, • Deep understanding of platform reliability, stability, high availability, performance, service levels, security and platform operations such as incident management \n, • Partner with engineering leads to drive the platform vision, establish platform KPIs and agree areas of investment to meet the quality expectations of our business \n, • Define the platform product roadmap based on customer feedback, industry insights and business demands including product launch and platform expansion\n, • Own the product management lifecycle from start to finish, embed new processes and a technical product discipline across the product management team \n, • Communicate the platform value proposition, quarterly plans and strategic priorities to stakeholders\n, • Proven ability to prioritise competing demands, manage stakeholder expectations and make pragmatic trade-offs to the roadmap when required \n\n Preferred capabilities, qualifications, skills \n\n • Experience in financial services or FinTech is preferred\n, • Experience launching financial products such as payments or core banking applications \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. \n Job Summary: \n As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production-grade LLM systems that power mission-critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. \n Job Responsibilities: \n\n • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm.\n, • Architect and deliver production LLM-based systems for text, image, speech, and video applications.\n, • Own end-to-end delivery, performance, and continuous improvement of LLM Suite products.\n, • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact.\n, • Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.\n, • Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline.\n, • Demonstrate extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems.\n, • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory.\n, • Apply practical experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed.\n, • Communicate complex technical concepts effectively and build trust with stakeholders at all levels.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization.\n, • Architect and implement high-throughput, low-latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing.\n, • Apply hands-on experience with parameter-efficient fine-tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization-aware training for LLMs at scale.\n, • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large-scale multimodal models.\n, • Orchestrate advanced agentic workflows, including multi-agent coordination, stateful task management, and integration with enterprise event-driven architectures.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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 Developer to join our Loans enablement Platform engineering team. This role is located in London or Manchester. \n In this role, you’ll make an impact in the following ways: \n\n • \n Lead architecture design and review across multiple pods, ensuring best practices and high-quality solutions. \n • \n Mentor junior developers on software design, clean code, use of AI coding assistants, programming practices, and career development. \n • \n Develop rapid, working prototype code to serve as a reference for engineering teams. \n • \n Directly participate in building, testing, and deploying engineering solutions. Applicants should have a recent track record of hands-on technical leadership and execution within engineering teams. \n • \n Influence and guide non-functional requirements including performance, scalability, resiliency, and recoverability. \n • \n Promote modern development practices such as reactive/non-blocking programming and contract-first API design. \n • \n Present architecture designs to stakeholders at various levels. \n • \n Promote successful adoption of AI Software Development tooling. \n\n To be successful in this role, we’re seeking the following: \n\n • \n Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent work experience; advanced degree is a plus \n • \n Significant experience in software development required with a strong background in full-stack development and proficiency in architecture \n • \n Experience in the securities, financial services or tech industry is a plus \n • \n Proficiency in Java, SQL, REST APIs, and Streaming APIs \n • \n Experience with cloud platforms, containers, and microservices architecture \n • \n Knowledge of NoSQL database technologies \n • \n Expertise in workflow technologies such as Camunda 7 & 8 and JBPM is a plus \n • \n Experience with emerging technologies, including GenAI integration and AI Software Development tooling \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 Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply 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 250 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, 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 working with data to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality, data-driven 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 robust data architectures and platforms. You understand and align with Solirius Reply Values. \n The Role: \n We are looking for experienced Data Architects to work on our projects with our public sector clients, helping to deliver Solirius’ services to the highest standard. \n The role will involve working with multiple business and technical stakeholders, helping them to design data solutions and architectures which will then be implemented by the delivery teams. \n As a Data Architect, you will be expected to operate with a high degree of autonomy, using your experience and judgement to resolve complex data and architectural challenges in alignment with client needs. You will proactively manage escalations and take ownership of delivering effective, scalable, and secure data solutions. \n Successful candidates will also be expected to take an active role in practice development: developing new data services to help with Solirius’ business development – creating and updating data architecture artefacts, liaising with other Solirius practices to maintain practice profile and contributing to the development of more junior practice members. \n In addition to technical leadership, you will play a key role in identifying and shaping new business opportunities, working closely with stakeholders across client organisations to understand strategic objectives and deliver value-driven, data-led outcomes. \n You must be a strong and confident communicator, capable of influencing both technical and non-technical audiences. You will lead and mentor technical teams, build consensus across diverse stakeholder groups, and foster collaborative, cross-functional working environments. \n Your role will require innovative thinking, applying best practices and emerging data technologies to solve complex business problems in creative and pragmatic ways. \n Requirements \n Key Responsibilities: \n\n • Design end-to-end data architectures that meet business, technical, and security requirements.\n, • Translate business and analytical requirements into scalable, secure, and cost-effective data platforms.\n, • Ensure alignment with enterprise data architecture, data strategy, and governance standards.\n, • Lead data architecture reviews and technical design workshops with stakeholders and delivery teams.\n, • Support Agile delivery teams, defining MVP data architecture and providing ongoing technical direction.\n, • Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions.\n, • Define data models, data flows, metadata standards, and integration patterns.\n, • Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale.\n, • Ensure data security, privacy, compliance, and risk management are embedded in the solution.\n, • Produce clear data architecture documentation using standards such as conceptual, logical and physical models, C4, Archimate, and cloud-native diagrams, including high-level designs and relevant data artefacts.\n\n Key Experience: \n\n • Extensive experience in stakeholder engagement and senior-level communication, including C-suite.\n, • Proven experience in client-facing and/or consultancy environments.\n, • Demonstrated ability to translate complex business and analytical requirements into scalable and resilient data architectures.\n, • Strong track record in designing and delivering end-to-end data platforms in enterprise settings.\n, • Expertise in conceptual, logical, and physical data modelling.\n, • Deep understanding of data platforms, data integration, and analytics architectures.\n, • Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance.\n, • Broad experience with data governance, data quality, master data management, and regulatory requirements.\n\n Key Skills: \n\n • Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP).\n, • Strong experience with data warehousing, data lakes, and lakehouse architectures.\n, • Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java.\n, • ETL/ELT design and data pipeline orchestration.\n, • Streaming and event-driven data architectures.\n, • Agile and DevOps delivery methodologies applied to data platforms (DataOps).\n, • Expertise in data architecture and modelling (conceptual, logical, and physical).\n, • Familiarity with modern integration technologies and patterns (e.g., API-driven, event streaming, service mesh).\n\n Benefits \n What We Offer: \n\n • Competitive Salary\n, • 25 Days Annual Leave + Bank Holidays\n, • Flexibility to work from home\n, • 10 days allocated for development training per year\n, • Generous Discretionary Bonus\n, • Statutory & Contributory Pension\n, • Private Healthcare Cover\n, • Discounted Gym Membership\n, • Enhanced Parental Leave\n, • Paid Fertility Leave\n, • Cycle to Work and Electric Vehicle schemes\n, • Access to Employee Assistance Programme (EAP)\n, • Annual Away Days\n, • Monthly 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 Wise Platform helps banks, software companies, and large enterprises use Wise's infrastructure to offer their customers cross-border payment products through our API. We're a cross-functional team across sales, implementation, product, engineering, compliance, and analytics, based in New York, London, and Singapore. \n We're looking for a Senior Backend Engineer to join our Partner Experience team in London. \n The Partner Experience team builds and runs the systems that let enterprise partners go live faster and manage their day-to-day operations in one place. \n We own the Partner Portal (used by many big banks to manage transfers, report fraud, handle compliance requests, and manage their teams) and the backend services behind partner onboarding, permissions, and communication. Most of what we build is new. There's no existing playbook for enterprise partner tooling at this scale, so you'll be designing systems from scratch more often than maintaining existing ones. \n How we work: \n We're a small team that ships frequently and iterates on real partner feedback. Engineers own features from technical discovery and design through to production support. We work closely with our PM and designer to understand partner needs, and with adjacent teams (API Experience, Account Discovery, KYC, FinCrime) to pull their capabilities into the portal. \n We investigate before we build. That means managing ambiguity, understanding the existing systems, APIs and dependencies before writing code. We keep process light: quick standups, focused 1:1s, and quarterly planning. \n What will you be working on?: \n • Backend microservices for partner-facing features: fraud reporting, case management, RFI handling, audit logging, and transaction visibility. \n • The permissions and role-based access control system that governs what partners can do in the portal. \n • SSO (SAML 2.0) integration for enterprise partners, including solving identity mapping between partner systems and Wise. \n • The communication layer services between Wise and partners, extending them to handle new case types and workflows. \n • API design for partner-facing endpoints. We care about consistency, documentation, and making them usable without hand-holding. \n • Work with FinCrime, Compliance, and KYC teams to bring sanctions RFI workflows and fraud reporting into the portal. \n • Technical discovery: mapping existing systems, evaluating dependencies, producing design documents that become the team's source of truth. \n • Production support and debugging when live partner issues come up. \n Qualifications \n What do you need: \n • Experience designing, building, and deploying backend microservices in Java and Spring Boot. \n • Familiarity with domain-driven design, event-driven architecture, and microservices patterns. You think in terms of domain boundaries, aggregates, and service responsibilities. \n • Experience designing and maintaining RESTful APIs commercially. Comfort with OpenAPI/Swagger, OAuth2, and versioning strategies. \n • Ability to design and maintain relational databases (MySQL, PostgreSQL), including query performance, indexing, and data modelling. \n • You enjoy mapping complex technical landscapes: understanding existing systems, dependencies, and constraints before proposing solutions. You write clear documentation of what you find. \n • You deliver reliably and manage your own work without needing constant check-ins \n • You work well with adjacent teams, unblock yourself when dependencies come up, and build relationships that go beyond PR reviews. \n • You understand what large enterprise customers need from software: reliability, auditability, compliance, and security as design constraints, not bolt-ons. \n Nice to have: \n • Experience building enterprise portals, partner platforms, or B2B SaaS products. \n • Understanding of payments systems and the complexities of cross-border money movement. \n • Experience with identity and access management (SAML, SSO, SPIFFE, OAuth2). \n • Familiarity with Kafka or other event streaming platforms. \n • Experience in a platform team serving multiple internal or external consumers. \n • Ability to explain technical decisions to non-technical people (product managers, partners, compliance teams). \n • Interest in international finance, foreign exchange, or payments infrastructure. \n Additional Information \n Interested? Find out more: \n\n • \n Wise Platform: who we are, what we do \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 What do we offer: \n\n • \n Starting salary: £87,500 - £111,000 + RSUs \n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \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 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 seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects. \n Your work will have a direct impact on Wise’s mission and millions of our customers. \n About the Role: \n You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform. \n The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform: \n We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain. \n What you’ll own \n\n • \n Python microservices that run quantitative models in production \n • \n Monitoring, alerting, and reliability for real-time pricing and risk systems \n • \n Shared quant libraries used across multiple services \n • \n CI/CD pipelines, deployment and operational excellence \n • \n Incident response and root cause analysis for production issues \n\n Where you’ll grow \n\n • \n Real-time curve construction (yield curves, FX forwards, vol surfaces) \n • \n Pricing models for new instruments and products \n • \n Trading strategy development and optimisation \n • \n Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis) \n • \n Backtesting frameworks and model validation \n • \n Customer behaviour modelling, pricing strategy and product launch support \n • \n Collaborating with product teams to translate quantitative insights into customer-facing decisions \n\n Qualifications \n What we’re looking for \n\n • \n 4+ years building and maintaining production Python systems \n • \n Strong experience with microservices, databases, and production infrastructure \n • \n Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) \n • \n Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness \n • \n Experience with testing, monitoring, and debugging complex systems under load \n • \n A product mindset - you think about who uses your systems and why \n • \n Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers \n\n It’s a bonus if you are familiar with \n\n • \n FX or financial markets experience \n • \n Term structure modelling, stochastic calculus or Monte Carlo methods \n • \n Interest rate curve bootstrapping \n • \n Algorithmic execution experience \n • \n Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) \n\n We’re people without borders — without judgement 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. \n Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. \n And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. \n Job summary \n As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications. You will help us deliver reliable, scalable, observable, and secure data solutions by applying strong software engineering fundamentals and modern data engineering patterns. You'll work closely with partners across product, analytics, and engineering to translate business needs into resilient technical designs. You'll also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. \n Job responsibilities \n\n • Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt\n, • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability\n, • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations\n, • Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads\n, • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design\n, • Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components\n, • Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)\n, • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions\n, • Own critical data systems by improving reliability, scalability, security, and operational excellence\n, • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing\n\n Required qualifications, capabilities, and skills \n\n • Degree in Computer Science or a STEM-related field (or equivalent)\n, • Demonstrated experience delivering in an agile, fast-paced engineering environment\n, • 8 years of recent, hands-on professional experience actively coding as a data engineer\n, • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)\n, • Strong Python programming skills, including unit and integration testing\n, • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)\n, • Experience with large-scale distributed data processing and performance tuning\n, • Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\n, • Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)\n, • Experience designing and operating orchestration pipelines using Airflow or similar tools\n, • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems\n\n Preferred qualifications, capabilities, and skills \n\n • Data modeling experience for analytics and reporting use cases\n, • Knowledge of security, risk, compliance, and governance considerations for data platforms\n, • Experience building continuous integration and continuous delivery automation for data and platform services\n, • Experience with container-based deployment environments (Docker, Kubernetes, etc.)\n, • Demonstrated ability to coach teammates on engineering practices and contribute to a collaborative, inclusive team culture\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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 Joining the AI Strategy, Research & Enablement team, you’ll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world commercial application, you’ll turn innovative ideas into scalable capabilities that influence products, platforms, and long-term strategy. You’ll collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. \n We’re looking for a Senior Research Data Scientist to play a key role in developing dunnhumby’s next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you’ll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You’ll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute to partnerships with academia and external research organisations. \n What you’ll be doing: \n\n • Drive the design, experimentation, and evaluation of transformer-based models on retail based challenges.\n, • Explore innovative architectures (e.g., sequence-to-sequence models, causal transformers, hybrid retrieval + transformer approaches) to deliver step-change improvements in personalisation, recommendations, and forecasting.\n, • Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions.\n, • Conduct forward-looking research on generative AI, multimodal learning, and representation learning.\n, • Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments.\n, • Drive internal thought leadership by defining standards, sharing knowledge, and advising product, engineering, and data science teams on ML adoption and best practices.\n, • Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications.\n, • Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ML.\n, • Partner closely with internal teams to ensure research pathways are aligned with available tooling and future platform strategy.\n, • Document best practices and contribute to reusable assets, libraries, and internal frameworks.\n\n What we expect from you: \n\n • Expertise in transformer architectures (e.g., BERT, GPT, T5, Time‑Series Transformers).\n, • Strong hands-on experience with modern deep learning frameworks (PyTorch preferred).\n, • Solid grounding in machine learning fundamentals and statistical modelling.\n, • Familiarity with distributed training and GPU acceleration.\n, • A track record of delivering impactful models in production or research settings.\n, • Ability to take ambiguous research ideas and shape them into structured investigations or prototypes.\n, • Curiosity and a learning mindset — tracking state-of-the-art advancements and evaluating their relevance.\n, • Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling).\n, • Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences.\n, • Collaborative approach to working with ML engineers, product managers, academic partners, and leadership stakeholders.\n, • A passion for turning cutting‑edge modelling ideas into practical business impact.\n, • A mindset that blends scientific curiosity with real-world pragmatism.\n, • Enthusiasm for shaping the next generation of AI capabilities at dunnhumby, both through hands-on modelling and strategic influence.\n\n Nice to have \n\n • Experience in retail, CPG, recommendations, or customer behaviour modelling.\n, • Engagement with academic research (publications, workshops, industry collaborations).\n, • Familiarity with vector databases, embeddings, and retrieval techniques.\n, • Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred).\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 Arqiva to connect them with exceptional professionals for this role. \n Head of Pre-Sales Consultancy \n Overview \n Responsible for setting the technical vision and operational leadership for Arqiva’s pre-sales consultancy function. The role provides strategic direction across solution design, technology positioning and customer engagement, ensuring that our media, broadcast, and cloud architectures are clearly articulated and fully aligned with business objectives. \n Acts as a “player‑manager”, combining hands‑on solution expertise with the ability to lead, mentor and inspire a high‑performing team. Represents Arqiva’s technology strategy to customers, partners and industry forums through compelling communication and thought leadership. \n Location \n Commutable distance to London / Winchester \n What’s in it for you \n\n • Up to £93,000 \n, • 15% bonus \n, • Work Life Smarter – our commitment to a flexible and hybrid working culture \n, • Generous pension scheme starting at 6% rising to 10% \n, • A unique wellbeing programme that looks after the whole you \n, • Access to multiple learning platforms to support your individual development\n, • Active and diverse networks that build community, support wellbeing and advocate for change \n, • A comprehensive set of benefits including discounts on big brands, gymflex memberships and paid volunteering leave - see our full list of benefits here.\n\n Plus, you’ll play an integral role in protecting the commercial value of Arqiva’s sites - a critical part of how we deliver for our customers. \n \n What you’ll be working on \n • Define and lead the long‑term strategy for the pre‑sales consultancy function, ensuring that Arqiva’s technical capabilities across media, broadcast, cloud, and hybrid‑IP solutions are fully aligned with customer needs, market direction and organisational commercial priorities. \n • Take the lead design role on major strategic and complex bids, acting as the solution design authority, agreeing the architectural direction, assuring technical integrity, and shaping compelling customer solutions that reinforce Arqiva’s technology strategy and competitive differentiation. \n • Manage, coach, and develop a multidisciplinary team of pre‑sales consultants creating a high‑performance culture. \n • Establish the frameworks, standards and best‑practice methodologies that underpin solution development, ensuring proposals are robust, scalable, and commercially viable. \n • Act as a senior technical authority during customer engagements, influencing decision‑making and articulating Arqiva’s technology roadmap in clear and compelling terms. \n • Partner with Sales, Product, Engineering, and Delivery teams to shape go‑to‑market propositions and ensure alignment between customer needs and Arqiva’s capabilities. \n • Lead complex opportunity shaping, including high‑value tenders, transformation programmes, and strategic accounts. \n • Champion innovation by tracking emerging technologies across cloud, streaming, spectrum, resilient networks, and next‑generation broadcast architectures; drive adoption into the pre‑sales practice. \n • Oversee continuous improvement of tools, templates, modelling approaches and knowledge repositories to improve efficiency and quality of output. \n • Provide input into OPEX/CAPEX planning and own accountable elements of the department’s operating plan. \n • Model Arqiva’s cultural expectations, promoting collaboration, transparency, and continuous development within the team and across the broader organisation. \n • Build strong internal and external networks, fostering relationships with technology partners, vendors, and the wider industry. \n \n \n What we’re looking for \n • Technical Architecture – Ability to design end‑to‑end media, broadcast, and cloud solutions, spanning contribution, distribution, playout, IP, and hybrid infrastructure. \n • Cloud & Virtualisation – Deep experience with AWS, Azure, or GCP, including cloud‑native architecture design, migration patterns, and security best practice. \n • Media & Broadcast Technologies – Strong understanding of encoding, multiplexing, content delivery, video workflows, orchestration, and network resilience. \n • Diagnostic & Analytical Skills – Proficient with engineering, monitoring, and diagnostic tools; capable of resolving complex technical issues. \n • Communication & Presentation – Able to translate deeply technical concepts into clear narratives for senior customers and stakeholders; confident presenter. \n • Project & Programme Awareness – Ability to oversee multiple workstreams, manage priorities, and ensure structured delivery of pre‑sales activities. \n • Innovation & Continuous Improvement – Track record of introducing new methods, technologies, or practices that uplift capability and efficiency. \n • Budget & Commercial Awareness – Comfortable managing team budgets and contributing to commercially robust solution design. \n • Relationship Building – Skilled in developing strong partnerships across internal functions, customers, suppliers, and technology ecosystem partners. \n • Leadership & Management – Demonstrated strength in decision‑making, coaching, adaptability, and building high‑performing teams. \n \n Knowledge & Experience \n • Significant background in pre‑sales, solution architecture, or technical consultancy within media, broadcast, telecommunications, or cloud‑led environments. \n • Proven experience leading technical teams in a complex organisation. \n • Strong track record contributing to strategic bids, large‑scale transformation programmes, or major customer initiatives. \n • Broad understanding of commercial constructs, delivery models, and lifecycle management of technical solutions. \n • Experience of working directly with senior customers, presenting complex solutions and influencing technical and commercial decision‑making. \n \n Qualifications: Degree (or equivalent professional capability) in engineering, computer science, media technology, or a relevant field \n \n If you’re unsure whether you meet every requirement, don’t let that hold you back - your experience may be exactly what we’re looking for. \n \n Why Arqiva: \n We enable a switched-on world to flow. As the UK’s leader in TV and radio broadcast and the country’s top smart utilities platform, we are shaping the future of connectivity. \n Our infrastructure delivers media and data exactly where they’re needed - whether that’s bringing TV and radio to your home or sending smart meter data to your utility provider. Our technology works quietly behind the scenes, connecting millions every day. \n But it’s not just what we do, it’s how we do it. At Arqiva, you’ll find real connection: supportive teams, active colleague networks and plenty of ways to get involved and feel part of our community. We’ll give you the space and support to grow - whether that’s developing your skills, trying something new or taking on fresh challenges. And because there is more to life than work, our rewards and benefits are designed to support your wellbeing, your lifestyle and what matters most to you. \n Our commitment to Diversity & Inclusion \n At Arqiva, we’re committed to building a workplace where everyone feels valued, heard and empowered to succeed. We welcome applications from all backgrounds and experiences, and we work hard to remove barriers so every colleague can thrive. If you need any adjustments at any stage of the recruitment process, please reach out to talent@arqiva.com. \n If this sounds like the right next step for you, we’d love to hear from you! \n #LI-KM1

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. \n As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.\n, • Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.\n\n Required qualifications, capabilities, and skills \n\n • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Specialism or well-researched interest in NLP\n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Extensive experience with pytorch and related data science python libraries (e.g. pandas)\n, • Experience of containerising applications or models for deployment (Docker)\n, • Experience with one of the major public cloud providers (Azure, AWS, GCP)\n, • Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Experience with container orchestration tools (e.g. Kubernetes, Helm) \n, • Knowledge of open source datasets and benchmarks in NLP\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications\n, • Track record of developing, deploying business critical machine learning models\n\n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions \n \n\n Required qualifications, capabilities, and skills \n\n • Hands on experience in an ML engineering role\n, • Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Track record of developing, deploying business critical machine learning models \n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Specialism in NLP or Computer Vision\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Extensive experience with pytorch, numpy, pandas\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)\n, • Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies (e.g. Spark, Hadoop)\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Familiarity with GraphQL\n\n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. \n Description \n \n Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. \n \n Your role at Made Tech \n \n As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. \n \n You’ll need to have a drive to deliver outcomes for users. You’ll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. \n \n Skills, Knowledge & Expertise \n \n We are looking for candidates with a range of skills and experience, please apply even if you don’t meet all the criteria. \n\n • Enthusiasm for learning and self-development \n, • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies\n, • Gathering and meeting the requirements of both clients and users on a data project\n, • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments\n, • Owning the cloud infrastructure underpinning data systems through a DevOps approach\n, • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop\n, • Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them\n, • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines. \n, • Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)\n, • To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. \n, • Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.)\n, • Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.\n, • Agile practices such as Scrum, XP, and/or Kanban\n, • Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases\n, • Owning the cloud infrastructure underpinning data systems through a DevOps approach\n, • Agile practices such as Scrum, XP, and/or Kanban\n, • People skills such as mentoring, supportive team player and performing line management duties\n, • To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders \n\n \n Desirable experience \n Experience in the following things isn’t essential, but it’s highly desirable! \n\n • Working at a technology consultancy\n, • Working with Docker and virtual environments as part of the development and CI/CD process. \n, • Working with senior stakeholders to gather requirements and keep them engaged with \n, • Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. \n, • Working with data scientists to productionise advanced data deliverables, such as machine learning models\n, • Working knowledge of statistics\n, • Working with multidisciplinary digital and technology teams\n, • Working within the public sector\n\n \n Job Benefits \n Support in applying \n If you need this job description in another format, or other support in applying, please email talent@madetech.com. \n \n We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. \n \n When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. \n \n We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from \n our blog, where we talk about mental health, communities of practice and neurodiversity \n (as well as our client work and best practice). \n \n Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. \n Benefits \n We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. \n \n Here are some of our most popular benefits listed below: \n \n ✈️ \n 30 days Holiday \n • we offer 30 days of paid annual leave + bank holidays! \n Flexible Parental Leave \n • we offer flexible parental leave options \n ‍ \n Remote Working \n • we offer part time remote working for all our staff \n Paid counselling \n • we offer paid counselling as well as financial and legal advice. \n \n An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. \n About Made Tech \n Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. \n \n Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We’re helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we’re making it more accessible, such as children needing mental health support. \n \n All this great experience is enabling us to support new areas, like energy. We’re helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy. \n \n We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

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 are looking for a Senior Staff Engineer (IC5) to join our Risk Assessment Platform squad. Our mission is to build a platform that allows Wise product teams to stay safe and compliant by executing risk assessments quickly and easily, while enabling our Financial Crime and Compliance teams to build controls with minimal effort. \n Positioned exactly between these two worlds, our team is in the best possible place to drive company-wide impact. We ensure our customers can achieve their goals safely, conveniently, and without friction. Because we sit at the heart of the action at Wise, we deal with massive amounts of data and high-throughput systems—making this an incredibly attractive playground for engineers who love solving complex, high-scale problems. \n How we work: \n At Wise, we believe in autonomy, alignment, and impact. As an IC5 engineer, you won't just be executing tasks—you will be a visionary. You will own fundamental components and libraries, collaborate across diverse teams, and define the long-term technical strategy for your domain. We value open communication, high technical standards, and a passion for solving real-world financial challenges. \n What will you be working on?: \n In the near future, you will be spearheading technical solutions for our biggest upcoming challenges: \n\n • \n Data Integrity: Solving complex problems related to data lineage, completeness, and validity. \n • \n Bridging the Gap: Designing and defining the technical contracts between Product teams and Financial Crime teams. \n • \n End-to-End Flows: Building robust, scalable e2e risk assessment workflows. \n • \n System Optimization: Driving initiatives to continuously improve our speed, latency, and cost metrics. \n\n What do you need?: \n\n • \n Deep Backend Expertise: Solid, production-proven experience with Java and modern (micro)service architectures. \n • \n System Design & Protocols: A rock-solid understanding of both synchronous and asynchronous communication protocols. \n • \n Advanced Architecture Skills: Experience owning and designing fundamental components, shared libraries, and core infrastructure. \n • \n Technical Leadership: The ability to act as a visionary, mapping out a clear technical strategy for your ownership area and mentoring others to get there. \n • \n Strong Communication: Exceptional collaboration skills, with the ability to translate complex technical concepts and align a highly diverse set of stakeholders. \n\n Nice to Have: \n\n • \n Previous experience working closely with data streaming and processing frameworks. \n • \n Hands-on experience solving complex data validity or data lineage problems at scale. \n • \n Background working in Fintech, Regtech, or high-throughput financial systems. \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: £145,000 - £182,000 + RSU \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. \n As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. \n Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus \n on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, \n customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. \n Job responsibilities \n ⢠Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the \n latest technologies and the best industry practices \n ⢠Use domain modelling techniques to allow us to build best in class business \n products. \n ⢠Structure software so that it is easy to understand, test and evolve. \n ⢠Build solutions that avoid single points of failure, using scalable architectural \n patterns. \n ⢠Develop secure code so that our customers and ourselves are protected from \n malicious actors. \n ⢠Promptly investigate and fix issues and ensure they do not resurface in the future. \n ⢠Make sure our releases happen with zero downtime for our end-users. \n ⢠See that our data is written and read in a way that's optimized for our needs. \n ⢠Keep an eye on performance, making sure we use the right approach to identify \n and solve problems. \n ⢠Ensure our systems are reliable and easy to operate. \n ⢠Keep us up to date by continuously updating our technologies and patterns. \n ⢠Support the products you've built through their entire lifecycle, including in \n production and during incident management \n Required qualifications, capabilities & skills \n ⢠Formal training or certification on data engineering concepts and applied \n experience \n ⢠Recent hands-on professional experience as a data engineer \n ⢠Experience in coding in a recent version of the Python programming language \n ⢠Experience in designing and implementing effective tests (unit, component, \n integration, end-to-end, performance, etc.) \n ⢠Excellent written and verbal communication skills in English \n ⢠Experience with cloud technologies and distributed systems \n ⢠Experience with data transformation frameworks and data pipeline orchestration \n tools \n ⢠Experience with managing large volumes of data and optimizing data processing \n ⢠Understanding of event-base architecture, data streaming and messaging \n frameworks \n ⢠Coach other team members on coding practices, design principles, and \n implementation patterns that lead to high-quality maintainable solutions. \n ⢠Manage stakeholders and effectively prioritize work across multiple work \n streams. \n Preferred qualifications, capabilities & skills \n ⢠Experience in working in a highly regulated environment / industry \n ⢠Experience with AWS cloud technologies \n ⢠Experience with data governance frameworks \n ⢠Understanding of incremental data processing and versioning \n ⢠Understanding of RESTful APIs and web technologies \n #ICBEngineering #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 \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 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 CRM Engineer to join our CRM team in London. You’ll support our global CRM team by building, maintaining, and improving the data and platform infrastructure that powers reliable, scalable CRM. \n In this role, you’ll focus on the technical foundations behind CRM, combining data engineering, platform architecture, and CRM systems understanding to ensure customer data is reliable, activation-ready, and easy to work with across our ecosystem. \n You’ll work across Kafka event streams, Snowflake, Braze, internal tools, and supporting integrations to transform raw product and customer data into trusted CRM-ready datasets, scalable activation systems, and effective CRM execution. \n You’ll often be the person the team turns to when something doesn’t look right, whether that’s a data inconsistency, event flow issue, customer attribute problem, integration failure, or CRM platform behaviour that doesn’t align with expectations. You enjoy solving technical problems methodically, working across systems, and improving the infrastructure that powers CRM long term. \n Here’s how you’ll be contributing to the CRM team: \n\n • Build and maintain the technical foundations that power CRM across Snowflake, Braze, Hightouch and supporting platforms\n, • Support the transformation and modelling of customer data within Snowflake to create reliable, CRM-ready datasets\n, • Validate customer events, attributes, identifiers and data quality to ensure accurate targeting, personalisation and reporting\n, • Support and improve CRM data pipelines, platform integrations and activation architecture\n, • Investigate and resolve issues across customer data, campaign logic, integrations and platform performance\n, • Support the day-to-day technical operation, implementation and optimisation of our CRM ecosystem, including Braze and supporting technologies\n, • Partner with CRM, Engineering and Analytics teams to translate lifecycle and marketing requirements into scalable technical solutions\n, • Improve CRM segmentation, targeting and activation reliability through stronger data quality, governance and architecture\n, • Build, support and troubleshoot Braze campaigns, audiences, templates and platform configurations to ensure reliable CRM execution\n, • Contribute to QA processes, documentation, operational workflows and technical best practices\n, • Share knowledge and help raise the team's understanding of CRM technology, data and platform capabilities\n\n This role will give you the opportunity to: \n\n • Become an expert across one of the industry's leading CRM technology stacks, including Braze, Snowflake, Hightouch and modern data tooling\n, • Work on the systems that power customer communications at global scale\n, • Solve complex technical challenges across CRM data, platform architecture, integrations and activation\n, • Shape the future of Wise's CRM technology ecosystem by improving scalability, reliability and governance\n, • Work closely with Engineering, Analytics, Product and CRM teams to deliver high-impact customer experiences\n, • Influence how CRM technology evolves through new capabilities, better data foundations and continuous platform improvements\n\n Qualifications \n About you: \n\n • You have 5+ years experience working in data, CRM technology, MarTech, or platform engineering roles\n, • You have strong SQL, data engineering, and data modelling experience (Snowflake or similar preferred)\n, • You have experience working with Kafka or similar event-streaming systems, or strong transferable experience working with event-driven customer data within Snowflake or similar data environments\n, • You have hands-on experience working with CRM or customer engagement platforms (Braze strongly preferred), including campaign builds, audience logic, data structures, and platform implementation\n, • You understand how customer data, attributes, events, and integrations power CRM systems\n, • You’re comfortable troubleshooting technical issues across data, APIs, integrations, and platform logic\n, • You approach problems methodically and enjoy working across both data systems and operational platforms\n, • You communicate clearly and can translate technical complexity into practical solutions\n, • You’re proactive about improving documentation, governance, workflows, and system reliability\n\n Nice to have: \n\n • Braze technical implementation experience\n, • Reverse ETL / activation tooling (e.g. Hightouch)\n, • API or integration engineering experience\n, • HTML / CSS / Liquid or templating familiarity\n\n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. And we do it all right here at Sky. Role/Team overview We’re seeking an experienced manager to lead our DevSecOps tooling team. You’ll help maintain and design the next iteration of application security tooling. Working in partnership with leaders at Comcast, you’ll guide cross-functional efforts at enterprise scale. As the team lead of AppSec Tooling, you’ll oversee software that helps catalogue and prioritise vulnerability data, leveraging AI where possible to create performance multipliers. Our team currently consists of 4 Security Developers with interdisciplinary support from QA, product, program, and other areas of the business. We build and upgrade workflows in two major products—an Application Security Posture Management tool and a Cybersecurity Toolbox, used by internal employees to help track and manage vulnerabilities. What you’ll do • The AppSec Tooling Manager will own and maintain the stability and scaling of our platforms., • You’ll be responsible for managing day to day operations for the team and partnering with stakeholders to translate needs into prioritized roadmap items., • This a leadership role requiring strong technical expertise in software development lifecycles and DevSecOps best practices. What you’ll bring Leadership & Communication Proven people leadership experience, with the ability to motivate high‑performing teams, fostering a strong culture of collaboration Significant stakeholder management and communication experience, with the credibility to build trust and effective working relationships at all levels Demonstrable experience delivering service excellence while managing competing priorities and addressing immediate risks Technical Expertise: Strong technical capability, with hands-on experience using security tooling (SAST, SCA, container scanning), CI/CD pipelines and modern SDLC practices Familiarity with risk-based vulnerability management and prioritisation Deep understanding of DevSecOps methodologies, including continuous monitoring and automated security testing Experience using AI to find efficiency gains in workflows Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Leeds: Leeds Whitehall is home to our Digital Tech hub and Contact Centre teams. With vibrant office spaces, chill-out areas, a multi-faith room and restaurant, it’s a great place to work and connect. We’re located just a 10-minute walk from the train station and there’s a bus stop directly outside the office. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role overview Our products, platforms and technologies are constantly evolving that’s why keeping Sky safe from cyber-attacks is one of our top priorities. Our Cyber Security team helps the business grow while protecting our customers, colleagues and partners from increasingly sophisticated cyber threats. Our team includes Cyber Fusion Centre, Security Services, Risk and Compliance, Programme Delivery and Business Security, and we work across the UK, Italy and Germany. Join us and you’ll get involved in tackling challenges and future threats in an ever-changing cyber landscape. You will join our comprehensive Cyber Defence Department as a senior member of the dedicated Threat Hunt team. You will operate within a robust security ecosystem, partnering directly with Cyber Operations, Threat Intelligence, Engineering, and Threat Vulnerability Management. What you’ll do : • Conduct proactive threat hunts across the enterprise, broadcast, and telco networks to identify abnormal activity, emerging attack techniques, and advanced threats., • ·Develop and execute hypothesis-driven threat hunts utilising datasets across a variety of security tooling, including EDR, SIEM, and network-layer defences., • ·Collaborate directly with the Cyber Threat Intelligence team to operationalise intelligence, maintaining and refining hunting playbooks for priority threat actors and relevant TTPs., • Partner with security engineering teams to translate hunt findings into productionised, high-fidelity detections and drive continuous improvement in data source coverage and quality., • Act as a technical mentor within the Cyber Defence function, guiding junior analysts, conducting peer reviews, and fostering a culture of continuous learning., • Document and communicate hunt outcomes comprehensively, translating complex technical findings into actionable remediation strategies and executive-level summaries. What you’ll bring : Essential Criteria • Extensive prior experience in threat hunting at a large enterprise environment., • Experience with incident response, SOC, or detection engineering., • Deep understanding of the MITRE ATT&CK framework and how to practically apply it to threat hunting methodologies and detection logic., • ·Proficiency in complex query writing (e.g., KQL, SPL, SQL) to filter, analyse, and visualise large, disparate datasets., • Hands-on experience with EDR, NDR, SIEM, SOAR security platforms and data analysis platforms such as Databricks., • Strong investigative acumen combined with a curious, highly analytical mindset capable of navigating ambiguity., • ·Proven ability to work cross-functionally, bridging the gap between security and broader technology teams to demonstrably improve the overall security posture. Desirable skills and experience: • Scripting and automation capabilities, particularly utilising Python, PySpark, and SQL to streamline analytical workflows., • Experience navigating cloud-native security environments (AWS, Azure, or GCP) alongside familiarity with the Microsoft 365 ecosystem., • Advanced knowledge of offensive security methodologies, including common exploit chains, reverse engineering basics, or penetration testing techniques., • Relevant industry certifications demonstrating specialised knowledge in threat hunting, incident response, or forensics (e.g., SANS GCIA, GCIH, GCFA, OSCP). Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: • Free Sky TV or NOW package, including Sky Sports and Sky Cinema, • Pension package with up to 9% employer contribution, • Private healthcare with mental health support, • Aviva Digital GP and dental insurance, • Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect, • Sharesave and Tech schemes, • A range of Sky VIP rewards and experiences How you’ll work Osterley The hybrid working expectations for this role are 2 days in the office per week. Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Support the Senior Product Manager – Creative Capabilities to enable our Product Vision & deliver the Product Backlog for Workflow Management enabling the business to deliver on their requirements., • Support a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem., • Govern the usage of the Workflow management platforms within the business, managing the operating model and establishing appropriate controls and workflows for our tools., • Enable business adoption, supporting Ideation Workshops and User Story Creation, to drive product requirements and drive the adoption of workflow management in the business., • Advise on Workflow management best practice including Process Documentation, Design and Implementation, meta data and tagging, and operating model development., • Join Quarterly Planning & support experimentation & development teams in sprint planning as required., • Support our Workflow management vendor partnerships & ensure tooling remains best-in-class., • Ensure Technology Stack for Workflow Management adheres to Compliance & Policy Requirements., • Support MarTech leadership in implementing martech strategy and specific initiatives. What you'll bring: • Experience of working with Adobe Workfront or similar Workflow management tools, integrating them with wider marketing technology & ensuring deployment and adoption across complex organisations., • Experience working with Adobe Fusion preferable but not essential, identifying opportunities to use this or similar IPAAS to optimise and automate workflows., • Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include Workflow tools, digital marketing, creative suite tooling, personalisation and others., • A proven track record of product ownership in a complex & fast moving organisation., • Proven track record influencing and working with decision makers to drive strategic decisions., • Experience working in Agile Product Management preferred, and experience of SAFe Framework beneficial., • Demonstrable experience of having built effective and trusted relationships with partners., • Highly collaborative style and able to thrive in a team with experience of operating in a matrix structure, in fast paced organisations., • A passion for media and technology – it’s at the core of everything we do. Team Overview The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on: • Deepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scale., • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities, • Embedding best practice technologies and championing their adoption to further consolidate technology choices., • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation., • Building internal Martech capabilities to enable & empower teams a\cross Sky Residential & Group OTT and to drive operating efficiencies. The Rewards: There's a reason people can't stop talking about #LifeAtSky! Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don’t just look at your CV. We’re more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can’t wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications. offer.

Implement and support event-driven architectures, including event sourcing and event streaming. Hands-on experience with event-driven systems (event streaming and/or event sourcing). Experience with Kafka or similar messaging/event platforms.

Data Architect – Azure, Databricks & Snowflake \n \n Remote First (UK) | Monthly London Meetups | £100,000–£110,000 \n \n A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. \n \n You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics and engineering teams to deliver at pace. This role combines strategic architecture leadership with hands-on technical expertise across Azure, Databricks, and Snowflake technologies. \n \n Key Responsibilities \n\n • Define and maintain the enterprise data architecture strategy and roadmap\n, • Design scalable, secure, cloud-native data platforms using Azure and Snowflake\n, • Architect modern lakehouse and enterprise analytics solutions\n, • Lead the design of conceptual, logical, and physical data models\n, • Support batch, streaming, and real-time data processing capabilities\n, • Drive best practice across governance, metadata, lineage, and data quality\n, • Optimise platform performance, scalability, reliability, and cost\n, • Collaborate closely with engineering, analytics, architecture, and data science teams\n, • Provide technical leadership and architectural guidance across delivery teams\n, • Promote automation, CI/CD, and Infrastructure as Code practices\n, • Evaluate emerging technologies and contribute to long-term platform innovation\n\n Required Experience \n\n • Strong experience designing enterprise data platforms within Microsoft Azure environments\n, • Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture\n, • Strong hands-on experience with Snowflake architecture and optimisation\n, • Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric\n, • Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault\n, • Strong SQL, Python, Spark, and Snowflake SQL skills\n, • Experience with CI/CD and Infrastructure as Code tools such as Terraform, ARM, or Bicep\n, • Knowledge of governance and cataloguing tools such as Microsoft Purview\n, • Proven ability to operate in senior technical leadership or architecture roles\n\n Desirable certifications include: \n\n • Microsoft Certified: Azure Data Engineer Associate\n, • Azure Solutions Architect Expert\n, • Databricks Certified Associate/Professional\n, • SnowPro Core Certification\n\n If you are passionate about modern data architecture and want to play a key role in building scalable cloud data platforms within a technology-driven organisation, we’d love to hear from you. \n \n Salary: £100,000–£110,000 \n Remote / London

We work with a range of UK employers actively hiring across these roles. \n About the Roles \n We're looking for experienced Architects for upcoming senior technical roles spanning Data Architect, Solution Architect, Enterprise Architect, Technical Architect and Cloud Architect specialisms. These will be hands-on, strategically-positioned roles where you'll set technical direction across complex systems, make the architectural decisions that matter and translate business intent into deliverable technical foundations. \n You'll work at the intersection of business strategy and technical execution—shaping how organisations design, integrate and evolve their systems. The role suits someone who combines deep technical authority with the breadth to span multiple specialisms, the pragmatism to make trade-offs under constraint, and the communication skills to bring engineering and business stakeholders along. \n Key Responsibilities \n\n • Define and own architectural direction for systems, platforms and integrations across the technology estate\n, • Translate business strategy and capability gaps into target architectures, roadmaps and design decisions\n, • Set and document architectural standards, patterns and principles—and ensure they're applied consistently\n, • Lead the design of complex cross-system solutions, balancing scalability, cost, security, performance and pace of delivery\n, • Partner with engineering teams to guide implementation, review designs and unblock technical decisions\n, • Govern integration patterns, data flows and system boundaries between internal platforms and third-party services\n, • Evaluate emerging technologies, cloud services and vendor solutions; make recommendations grounded in trade-off analysis\n, • Shape data models, schemas and information architecture that scale with business needs\n, • Support engineering managers and senior engineers on technical strategy without owning their line management\n, • Represent architecture in senior forums—technical steering groups, executive briefings and external partnerships\n\n What You'll Bring \n Architectural Authority: \n\n • Deep hands-on engineering background before moving into architecture (Senior Engineer / Lead Engineer / Principal level or equivalent)\n, • Track record of designing and delivering complex systems end-to-end—not just whiteboard work\n, • Strong opinions, weakly held; able to defend architectural choices with reasoning and evidence\n, • Comfortable making decisions under ambiguity, with incomplete information and competing priorities\n, • Experience documenting architectural decisions (ADRs, target-state diagrams, capability maps) at quality\n\n Technical Breadth: \n\n • Strong grounding in modern cloud platforms (AWS, Azure, GCP)—at least one in serious depth\n, • Familiarity with data architecture: warehouses, lakes, lakehouses, streaming, modelling, governance\n, • Working understanding of integration patterns (APIs, events, messaging, ETL/ELT, iPaaS)\n, • Awareness of security, identity, observability and resilience as architectural concerns\n, • Polyglot exposure across modern stacks; able to assess and challenge implementations across languages and frameworks\n\n Communication & Stakeholder Skills: \n\n • Excellent written and verbal communication; able to adapt for engineers, executives and non-technical partners\n, • Confidence influencing without authority; building consensus across teams that don't report to you\n, • Pragmatic mindset; able to balance architectural purity with delivery reality\n, • Comfortable challenging product, engineering and business stakeholders constructively\n\n Experience Level: \n\n • Minimum 7+ years for Solution / Technical Architect, 10+ for Data / Cloud Architect, 12+ for Enterprise Architect\n, • Background in software engineering, data engineering, platform engineering or related technical discipline\n, • Examples of architectures designed, systems delivered or technical strategies shaped end-to-end\n\n What We Offer \n\n • The opportunity to shape technical direction at organisations where the systems genuinely matter\n, • A senior IC track—architectural influence without the line management overhead\n, • Scope to span specialisms rather than be boxed into one domain\n, • Engineering peers strong enough to push back and raise the bar\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n\n Job Type: Full-time \n Benefits: \n\n • Flexitime\n, • Work from home\n\n

Data Scientist \n Salary: £60,000 - £90,000 + Equity PotentialLocation: London (Hybrid)Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) \n Help Build the Future of AI-Powered Public Safety \n We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. \n The Opportunity \n We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. \n This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. \n We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. \n Key Responsibilities \n\n • Develop machine learning models and inference systems using complex sensor and telemetry data.\n, • Analyse multivariate time-series datasets to identify behavioural patterns and operational insights.\n, • Build anomaly detection and behavioural baselining models.\n, • Translate raw telemetry streams into meaningful, actionable intelligence.\n, • Work with streaming and low-latency data architectures to support real-time decision making.\n, • Collaborate with software engineers and AI specialists to take solutions from research through to production deployment.\n, • Continuously optimise model performance, accuracy and scalability.\n, • Contribute to technical strategy, experimentation and product development.\n, • Take ownership of complex problems across data science, product and engineering domains.\n\n What We're Looking For \n Essential Experience \n\n • Strong commercial experience in Data Science, Machine Learning or Applied AI roles.\n, • Hands-on experience working with time-series data and signal processing.\n, • Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets.\n, • Strong understanding of multivariate time-series modelling.\n, • Experience developing anomaly detection and behavioural baselining solutions.\n, • Ability to take machine learning solutions from research and experimentation into production environments.\n, • Experience solving complex problems through iteration, optimisation and experimentation.\n, • Strong coding and analytical skills.\n, • Ability to work autonomously within a fast-paced, highly collaborative environment.\n, • Previous experience within a start-up, scale-up or SME setting.\n\n Highly Desirable \n\n • Experience working with smart watches, wearable health technology or IoT platforms.\n, • Exposure to low-latency or streaming inference architectures.\n, • Experience working within public safety, security, defence, healthcare or other regulated sectors.\n\n Why Join? \n\n • Join a stealth-mode AI business with significant growth ambitions.\n, • Work on technology with genuine impact in public safety and law enforcement.\n, • Help build AI products from the ground up.\n

Lead Backend Software Engineer – Data ServicesFederated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | KubernetesLocation: London (2 days per week onsite)Rate: £700–£800 per day (Outside IR35)Duration: Initial 6-month contract with likely extensionOverviewWe're looking for an experienced Lead Backend Software Engineer to join a high-profile programme building secure, cloud-native data services that will support data-driven research and innovation at national scale.This is a founding engineering role, offering the opportunity to shape the architecture, engineering standards, and core data services from the ground up. Working closely with the Engineering Manager and a small team of senior engineers, you'll establish the technical foundations for a complex federated data platform operating within a highly regulated environment.We're looking for someone who enjoys building from first principles, thrives in ambiguity, and can balance strategic architectural thinking with hands-on software engineering. This role is centred around designing and building distributed data services rather than traditional application development.Role & Responsibilities\n\n • Lead the design and development of scalable, cloud-native data services supporting a federated platform.\n, • Define architectural patterns, engineering standards, and best practices that will scale across the wider organisation.\n, • Design and build distributed server-side services using modern software engineering practices.\n, • Architect and develop federated data services capable of securely querying and processing data across multiple environments.\n, • Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks.\n, • Design and implement Kubernetes-based services and containerised workloads.\n, • Build secure APIs and backend services supporting authentication, authorisation, governance, and audit requirements.\n, • Contribute to the design of distributed systems, data pipelines, and platform architecture.\n, • Establish CI/CD pipelines, Infrastructure as Code, automated testing, and deployment practices.\n, • Evaluate and integrate open-source technologies and distributed data frameworks.\n, • Mentor engineers and promote engineering excellence across the team.\n, • Work closely with architecture, product, security, and external stakeholders.\nSkills & ExperienceEssential\n\n, • Experience as a Lead Engineer, Principal Engineer, Staff Engineer, Software Architect, or similar senior technical role.\n, • Strong server-side software engineering experience, with flexibility across programming languages such as Python, Java, Go, Scala, C#, or similar.\n, • Experience designing and building distributed data services or large-scale backend platforms.\n, • Experience with Apache Spark, Apache DataFusion, Trino, Presto, or similar distributed data processing technologies.\n, • Strong architecture and design experience across distributed systems and data services.\n, • Experience designing scalable data processing or data streaming workflows.\n, • Experience building cloud-native applications on AWS, Azure, or GCP.\n, • Experience with Kubernetes, Docker, and containerised environments.\n, • Experience building and operating CI/CD pipelines and Infrastructure as Code.\n, • Strong understanding of distributed systems, scalability, resilience, and secure-by-design principles.\n, • Comfortable making architectural decisions within evolving, fast-paced environments.\n, • Excellent communication skills with the ability to work across technical and non-technical teams.\nDesirable\n\n, • Experience building federated data services or federated data platforms.\n, • Experience within healthcare, life sciences, research, government, or other highly regulated environments.\n, • Knowledge of Trusted Research Environments (TREs), Secure Data Environments (SDEs), or similar secure data platforms.\n, • Experience with data governance, metadata services, data catalogues, or secure data access models.\n, • Exposure to event-driven architectures and streaming technologies such as Kafka, Flink, or Spark Streaming.\n, • Experience evaluating or contributing to open-source technologies.\n

Data Architect \n Shape the future of enterprise data architecture within a modern cloud environment. \n We are seeking an experienced Data Architect to play a key role in designing, developing, and evolving a modern data platform. This position offers the opportunity to drive strategic data initiatives, implement Data Mesh principles, and help create scalable, secure, and high-performing data solutions that support business growth. \n The Role \n As a Data Architect, you will be responsible for defining and governing data platform architecture, ensuring data products are scalable, interoperable, and aligned to enterprise standards. Working closely with engineering teams and business stakeholders, you will provide technical leadership, architectural guidance, and strategic direction across the data landscape. \n Key Responsibilities \n\n • Design and oversee the architecture of modern cloud-based data platforms.\n, • Develop architectural documentation, technical designs, and standards.\n, • Champion Data Mesh and Data-as-a-Product principles across development teams.\n, • Evaluate and recommend tools, technologies, and services to support platform growth.\n, • Establish and maintain architectural best practices and governance frameworks.\n, • Design secure, scalable, and high-performing data solutions.\n, • Create robust data pipelines supporting batch, event-driven, and streaming workloads.\n, • Ensure data products are discoverable, trustworthy, and interoperable.\n, • Provide technical leadership, mentoring, and guidance to engineers and analysts.\n, • Collaborate with stakeholders to shape data strategy, roadmaps, and future capabilities.\n\n About You \n You are an experienced Data Architect or Data Solutions Architect with strong cloud platform expertise and a passion for modern data architectures. You enjoy solving complex problems, influencing technical direction, and working collaboratively across both technical and non-technical teams. \n Skills & Experience \n\n • Proven experience in a Data Architect, Data Solutions Architect, or similar role.\n, • Strong experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.\n, • Good understanding of Google BigQuery and modern data platform technologies.\n, • Expertise in data architecture, data warehousing, and large-scale data platforms.\n, • Strong knowledge of Data Mesh, database design, and ETL/ELT methodologies.\n, • Experience designing scalable, secure, and governed data solutions.\n, • Understanding of data security, compliance, and GDPR requirements.\n, • Excellent analytical and problem-solving abilities.\n, • Strong communication skills with the ability to engage both technical and non-technical stakeholders.\n, • Experience mentoring and supporting technical teams.\n\n Why Apply? \n\n • Opportunity to influence the future direction of a modern cloud data platform.\n, • Work with cutting-edge data technologies and architectures.\n, • High-impact role with significant technical ownership.\n, • Collaborative environment focused on innovation, engineering excellence, and continuous improvement.\n

Contract Role – Senior FX e-Trading Java Developer – London/Hybrid – 12 months initial – Inside IR35 PAYE \n \n Role Overview: \n\n • Job Title: Senior FX e-Trading Java Developer\n, • Location: Hybrid – 4 days onsite per week in London\n, • Contract Type: Contract \n, • Duration: 12 months initial \n, • Rate: £ per day Inside IR35\n\n \n About the role \n\n • Contribute to a new, cutting-edge, low-latency FX e-trading platform - delivering high-performance, resilient, and secure systems.\n, • Partner closely with product, trading, and infrastructure teams to deliver features end-to-end—from UI and desktop container experiences to low-latency backend services.\n, • Lean into the latest AI coding tools to accelerate delivery, strengthen code quality, and enhance developer experience.\n\n What you’ll do \n\n • Architect and implement scalable, event-driven, and microservices-based backend components, including APIs, market data, order/risk workflows, and real-time streaming.\n, • Optimize latency, throughput, and reliability across the stack; instrument observability (metrics, tracing, logging) and performance profiling.\n, • Establish engineering best practices: code standards, testing strategies (unit/integration/E2E), CI/CD, secure coding, and release management.\n, • Mentor engineers through code reviews, design sessions, and hands-on pairing—encouraging thoughtful abstractions, clean architecture, and pragmatic delivery.\n, • Use AI development tools for assisted coding, refactoring, test generation, secure code analysis, documentation, and knowledge search—evaluating where AI accelerates while maintaining human oversight.\n, • Collaborate with stakeholders to translate trading requirements into robust technical designs; write clear specs and implementation plans.\n, • What we’re looking for\n, • Professional software engineering experience, with deep expertise in:\n, • Core Java, multithreading/concurrency, performance tuning.\n, • Experience with low-latency design and patterns.\n, • Designing and operating distributed systems (microservices, event-driven architectures, messaging/streaming).\n, • Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS).\n, • Proven experience in e-trading or real-time financial systems (FX highly desirable), including familiarity with market data, order flows, and execution workflows.\n, • Hands-on with CI/CD, containerization, cloud/on-prem deployments, and observability.\n, • Comfortable integrating AI coding tools into daily development workflows.\n, • Excellent communication and stakeholder engagement; able to lead initiatives and mentor others.\n\n Nice to have \n\n • Solace\n\n \n Please feel free to contact myself – Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role. \n \n Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Media Business Analyst \n\n • Contract: Initial 6 months \n, • Location: London - Hybrid (3 days onsite, Thursday anchor day)\n, • Daily Rate: Inside IR35\n\n We are excited to offer an opportunity for an experienced Media Business Analyst to join a major transformation programme focused on modernising and monetising video production and content distribution capabilities for one of the world's most respected media organisations. This role is crucial in shaping the future across production facilities, content workflows, media asset management, editing, archiving, distribution, and monetisation. \n Day-to-day of the role: \n\n • Elicit, analyse, and document business requirements across media production and content distribution workflows.\n, • Create detailed As-Is and To-Be process maps.\n, • Facilitate workshops, requirements sessions, and stakeholder reviews.\n, • Produce business process documentation, use cases, user stories, and acceptance criteria.\n, • Support business case development and solution evaluation.\n, • Analyse and optimise end-to-end content supply chains.\n, • Support design of workflows covering content ingest, production, post-production, asset management, storage, distribution, and archiving.\n, • Identify opportunities for workflow automation and operational efficiencies.\n, • Build relationships across Editorial, Technology, Commercial, Data Privacy, and Operations teams.\n, • Navigate a complex stakeholder landscape, facilitating decision-making across multiple business functions.\n, • Drive communication and alignment throughout project delivery.\n, • Work closely with product, engineering, and delivery teams throughout implementation.\n, • Support UAT planning and execution.\n, • Ensure delivered solutions meet operational and business requirements.\n, • Help drive adoption of new tools and ways of working.\n\n Required Skills & Qualifications: \n\n • 5+ years' experience as a Business Analyst with a strong business analysis background.\n, • Significant experience in the media industry, supporting broadcasters, publishers, news organisations, streaming providers, production companies, or post-production environments.\n, • Good understanding of media production workflows, post-production processes, Media Asset Management (MAM), Production Asset Management (PAM), digital content distribution, metadata management, video editing workflows, content storage, and archive strategies.\n, • Experience with digital transformation projects, ideally involving cloud migration programmes, modernisation of media production platforms, and migration from on-premise to cloud-native workflows.\n, • Experience with technologies such as LucidLink, Iconik, Adobe production environments, or similar platforms is advantageous.\n, • Excellent requirements gathering, documentation skills, and strong process modelling experience.\n, • Workshop facilitation and stakeholder management expertise.\n, • Experience working within Agile delivery environments.\n\n Personal Attributes: \n\n • Proactive and self-starting, comfortable operating with limited direction.\n, • A confident stakeholder manager, strong at building consensus across diverse groups.\n, • Commercially aware, collaborative, and pragmatic.\n, • Comfortable challenging and influencing where required.\n, • Able to communicate effectively with both technical and non-technical audiences.\n\n To apply for this Media Business Analyst position, please submit your CV and a member of the Talent team will be in touch.

MuleSoft Lead Developer \n Location: Remote (UK-based) \n Type: Full-Time | Permanent \n Salary: Up to £72,000 + excellent benefits \n Security: SC Clearance Eligibility Required The Opportunity\n We're working with a leading organisation undergoing significant digital transformation, and they're looking to bring in two experienced MuleSoft Lead Developers to help drive the next phase of their integration strategy. This is a fantastic opportunity to join a high-performing engineering environment where you'll lead from the front-owning delivery, shaping best practice, and mentoring teams while working on enterprise-scale integration programmes. The Role\n\n • Design and deliver APIs using API-led connectivity (System, Process, Experience layers)\n, • Build complex integration solutions including event-driven architectures, orchestration, streaming, and batch processing\n, • Lead development on key projects, ensuring high-quality engineering standards\n, • Produce reusable assets, modules, and DataWeave transformations\n, • Contribute to API specifications (RAML/OAS) and integration design documentation\n, • Ensure robust logging, monitoring, alerting, and error handling frameworks\n, • Support CI/CD pipelines, automated testing, and Git-based workflows\n, • Deliver MUnit test coverage of 80%+\n, • Provide BAU support including incident resolution and root cause analysis\n, • Mentor developers, conduct code reviews, and promote best practice\nAbout You\n\n, • Extensive experience in MuleSoft development (Mule 4)\n, • Strong capability with DataWeave 2.0 and Anypoint Platform\n, • MuleSoft Certified Developer Level 1 (Level 2 desirable)\n, • Experience delivering enterprise-scale integrations\n, • Integration experience with Salesforce, SAP, ServiceNow, AWS/Azure, databases, and legacy systems\n, • Knowledge of API security (OAuth 2.0, JWT, mTLS/SSL/TLS)\n, • Familiarity with CloudHub v2.0, Runtime Fabric, and hybrid architectures\nWhy Apply\n\n, • Fully remote working\n, • Competitive salary and strong benefits package\n, • Generous holiday allowance with option to buy more\n, • Matched pension, life assurance, and enhanced family leave\n, • Learning and development opportunities\n, • Inclusive networks and mentoring communities\n, • Work on high-impact transformation programmes\nInterested?\n If you're a MuleSoft expert ready to step into a lead role where you can make a real impact, apply now or get in touch for a confidential discussion. \n Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. \n Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. \n By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website. \n

We work with a range of UK employers actively hiring across these roles. \n Job Description: \n UK-Based (On-Site, Hybrid or Remote) \n About the Role We're looking for experienced Data Engineers at all levels—from Data Engineer through to Senior, Lead, Principal, Analytics Engineer and Data Platform Engineer positions—for upcoming roles across data pipelines, warehouses, lakehouses and the platforms that data teams depend on. These are hands-on engineering roles where you'll build and operate the foundations that analytics, BI, data science and ML all stand on. \n You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. The role suits someone who pairs strong software engineering discipline with genuine interest in data modelling and a pragmatic view of when to build, when to buy and when to leave it alone. \n Key Responsibilities \n\n • Design, build and operate production ELT / ETL pipelines that move data reliably at the volume and latency the business needs\n, • Model data in the warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case\n, • Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage\n, • Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it\n, • Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks)\n, • Implement data quality, testing, monitoring and observability across pipelines and models\n, • Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/Sub, Flink)\n, • Partner with analysts, scientists, BI developers and ML engineers to deliver the data products they need\n, • Contribute to data governance, cataloguing, access management and platform security\n, • (Analytics Engineer) Sit closer to the analyst side—transformation, modelling, semantic layer, metrics\n, • (Platform Engineer) Sit closer to the platform side—infra, tooling, developer experience for data practitioners\n, • (For Senior/Lead/Principal) Set data architecture, mentor engineers, lead platform strategy and larger initiatives\n\n What You'll Bring \n Technical Expertise: \n\n • Strong SQL—comfortable with complex transformations, performance tuning and warehouse-specific dialect\n, • Strong Python skills (or Scala / Java where relevant) for pipeline development and tooling\n, • Hands-on experience with dbt or equivalent transformation tooling\n, • Orchestration experience (Airflow, Dagster, Prefect or equivalent)\n, • Production experience with at least one major cloud warehouse / lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks)\n, • Cloud platform experience (AWS, GCP, Azure)\n, • Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches\n, • CI/CD for data pipelines, version control discipline, infrastructure-as-code basics (Terraform)\n, • Streaming and big data exposure (Kafka, Kinesis, Spark, Flink) is a plus\n, • Data quality and observability tooling (Great Expectations, Monte Carlo, Soda, dbt tests) is a plus\n\n Engineering & Soft Skills: \n\n • Strong software engineering discipline—pipelines are products, not scripts\n, • Data quality mindset—if it's not tested, it's broken\n, • Pragmatic about the build-vs-buy and complexity-vs-utility trade-offs\n, • Strong communication with analysts, scientists and BI partners—you treat them as your users\n, • Collaborative approach with platform, ML and product peers\n, • Comfortable with ambiguity and shaping unclear data requirements into clean engineering scope\n, • Curiosity about the business problems the data underneath is serving\n\n Domain Flexibility: \n\n • Roles span SaaS, fintech, retail, consumer, healthtech, public sector, media and B2B platforms\n, • Background in any of these is welcomed; appetite to learn an adjacent stack valued just as much\n\n Experience Level: \n\n • Minimum 2+ years for Data Engineer / Analytics Engineer, 5+ for Senior, 8+ for Lead / Principal\n, • Background in data engineering, analytics engineering, data platform engineering or related software discipline\n, • Examples of pipelines, models or platforms you've owned end-to-end in production\n\n What We Offer \n\n • Opportunity to work on data platforms that genuinely underpin analytics, BI, science and ML at meaningful scale\n, • Exposure to modern data tooling, cloud warehouses, transformation frameworks and orchestration platforms\n, • Roles at the level you're ready for—we're hiring across the IC data engineering spectrum\n, • A collaborative environment where engineering rigour and modelling quality are both valued\n, • Clear scope to develop specialist depth (streaming, platform, analytics engineering, modelling) or stay broad\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n

Our client, a leading global SaaS organisation is looking for a Data Engineer to join their International Engineering team. \n This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; \n You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user experience. This a 12 months contract Hybrid role with the opportunity for the role to go permanent. \n What You'll Do: \n\n • Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow;\n, • Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness;\n, • Build critical data quality checks to ensure that the data we process and provide to partner teams meets security and compliance requirements;\n, • Participate in code and technical design reviews;\n, • Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting.\n\n Minimum requirements: \n\n • 3+ years of experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt;\n, • Working knowledge of Python, SQL and shell scripting;\n, • Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar;\n, • 3+ years of significant professional experience developing applications written in a modern programming environment - preferably Scala/Java and/or Python;\n, • Professional experience across the entire software development life cycle, from gathering requirements to production deployment using CI & CD;\n, • Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents.\n\n Benefits \n\n • Hybrid working\n, • Great location with fantastic offices\n, • Award winning work environment\n\n

Data Technical LeadCertain Advantage is hiring for a Data Technical Lead based in London.This role is on an initial contract basis until the end of the year and requires onsite working three days per week.The CompanyWe’re working with a business undergoing significant cloud modernisation, transforming its data landscape to improve speed, agility, and technical capability. The PDE platform is a key initiative supporting the organisation’s future data vision, enabling consistent global reporting, near real-time access to curated datasets, and improved business decision-making through enhanced data capabilities.The Role: We are seeking a highly experienced Technical Lead with deep expertise in the Azure Data Platform and Databricks ecosystem. The ideal candidate should have strong hands-on experience with Structured Streaming, Delta Live Tables (DLT), PySpark architecture, Python, and SQL, and a proven track record of delivering large-scale enterprise data platforms.You’ll be responsible for:\n\n • Leading the design, development, and implementation of scalable data solutions across Azure and Databricks.\n, • Defining and driving data strategy, governance, quality standards, and platform best practices.\n, • Optimising platform performance and managing cloud costs, with a focus on Databricks streaming workloads.\n, • Providing end-to-end technical leadership from architecture through delivery and production support.\n, • Collaborating with business stakeholders to deliver solutions aligned with organisational goals.\nThe Individual\n\n, • Strong experience leading data engineering or technical delivery teams within complex enterprise environments.\n, • Proven experience designing and delivering solutions using Azure and Databricks.\n, • A strong understanding of data architecture, governance, data quality, and cloud optimisation.\n, • Experience managing Databricks streaming workloads and improving platform performance.\n, • Experience within the financial trading domain, including knowledge of trading data models and related business processes.\n, • A track record of delivering complex data solutions from concept through to implementation and support.\nDoes this sound like your next career move? Apply today.Working with Certain AdvantageWe go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it.We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.

Lead Data Engineer (Permanent, London on-site) \n A high-growth AI software company is looking for a Lead Data Engineer to own and scale the data foundations behind an AI-driven operations platform used by property teams. This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. \n What you'll do \n\n • Architect and build scalable data pipelines and distributed data systems\n, • Design ingestion, transformation and storage patterns for operational and AI workloads\n, • Deliver batch and real-time/streaming pipelines\n, • Build and optimise vector search and retrieval pipelines that support AI features\n, • Implement monitoring, observability and data quality frameworks\n, • Drive security, reliability and governance across the data layer\n, • Partner closely with backend and AI engineers to support training, inference and product delivery\n, • Influence technical direction and help shape the future data team as the company scales\n\n What we're looking for \n\n • Demonstrable experience in data engineering or backend engineering with proven architecture ownership\n, • Good level of Python engineering skills\n, • Strong relational database experience (PostgreSQL preferred) including performance and query optimisation\n, • Exposure to NoSQL systems\n, • Comfortable building from scratch in a fast-moving, product-led environment\n, • Experience with vector databases and vector search in modern AI systems\n, • Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures\n, • Cloud experience (AWS, GCP or Azure) is a plus\n\n Why join \n\n • High impact and ownership as an early senior hire\n, • Work with a strong engineering team on real AI product challenges\n, • Competitive salary\n\n If you are an experienced Data Engineer seeking a challenging opportunity to lead and innovate within a transformative AI company, we encourage you to apply now and become a vital part of our client's mission. \n Unfortunately sponsorship is not available for this role.

Solution Architect - B2B Payments Transformation\n Contract: 6 monthsRate: £550-£575 per day (Outside IR35)Location: London, Hybrid \n An experienced Solution Architect is required to lead end-to-end architecture for a large-scale B2B banking RTL and Payments Transformation programme within a complex financial services environment. This role will own solution design across multiple workstreams, ensuring a cohesive, scalable and resilient architecture aligned to regulatory, operational and commercial requirements. \n The programme spans core B2B banking capabilities, including payments, reconciliation, KYC, cash management, monitoring and billing. You will play a central role in shaping an event-driven architecture, working closely with senior stakeholders, peer architects and offshore delivery teams, while providing strong architecture governance and design assurance. \n Key Responsibilities \n\n • Own solution architecture and high-level design across multiple workstreams\n, • Define and govern event-driven architecture patterns including streaming and asynchronous integration\n, • Manage cross-domain dependencies and complex integrations across B2B banking platforms\n, • Lead architecture governance, design approvals and technical decision-making\n, • Ensure non-functional requirements are met, including scalability, resilience, security and compliance\n, • Facilitate design workshops and maintain the solution architecture roadmap\n, • Collaborate effectively with onshore and offshore teams\n\n Required Experience \n\n • Strong background in Solution Architecture with extensive HLD ownership\n, • Hands-on experience designing event-driven architectures (Kafka, streaming, async patterns)\n, • Solid understanding of microservices, APIs and cloud platforms (AWS and/or Azure)\n, • Proven experience within B2B banking and payments, including SEPA, SWIFT, Faster Payments and ISO 20022\n, • Track record of delivering architecture on large-scale banking transformation programmes\n, • Experience operating in complex, multi-vendor and offshore delivery environments\n\n Desirable \n\n • TOGAF or equivalent architecture governance experience\n, • Exposure to CRM platforms, billing and monitoring systems\n, • Strong stakeholder management and workshop facilitation skills\n\n This is a high-impact contract role suited to an architect who enjoys shaping complex B2B banking and payments transformations and operating at both strategic and hands-on design level. \n \n Reasonable Adjustments: \n Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. \n If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

AI & Machine Learning Engineer - Multiple Levels Available \n London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 \n Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. \n This is an opportunity to work on cutting-edge AI solutions, develop enterprise-scale machine learning applications and collaborate with highly skilled technical professionals delivering innovative outcomes for a range of organisations. \n Whether you're looking to deepen your technical expertise or take on greater ownership and leadership responsibilities, this role offers exceptional development opportunities and clear career progression. \n You Will Work With \n\n • Building and deploying AI and Machine Learning solutions\n, • Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation\n, • Developing scalable ML pipelines and engineering frameworks\n, • AI model training, evaluation, optimisation and deployment\n, • Cloud-native AI and data platforms across Azure, AWS and GCP\n, • MLOps tools and best practices for deployment, monitoring and governance\n, • Structured and unstructured datasets\n, • Generative AI and advanced analytics solutions\n, • Designing and maintaining scalable data pipelines, datasets and workflows\n, • Collaborating directly with client stakeholders to understand business challenges and translate requirements into AI solutions\n, • Working closely with technical and non-technical teams throughout programme delivery\n, • Cross-functional engineering, architecture and data teams\n, • Agile software development and delivery methodologies\n, • Exploring and adopting emerging AI technologies and approaches to drive innovation and business value\n\n Benefits \n\n • Salary up to £75,000\n, • Hybrid and flexible working arrangements\n, • Access to cutting-edge AI projects\n, • Professional certifications and ongoing training\n, • Structured career progression opportunities\n, • Exposure to modern technologies and large-scale programmes\n, • Supportive and collaborative culture\n, • Opportunity to work across a variety of industries\n, • Competitive benefits package\n\n Key Experience \n\n • Experience building and deploying AI or Machine Learning solutions in a commercial environment\n, • Strong Python and SQL skills\n, • Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks\n, • Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices\n, • Experience with Azure, AWS or GCP cloud environments\n, • Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows\n, • Experience working with structured and unstructured data\n, • Understanding of MLOps tooling and best practices\n, • Knowledge of data governance, security and compliance principles within AI and data environments\n, • Strong analytical and problem-solving ability\n, • Experience working within Agile delivery environments\n, • Ability to work closely with stakeholders and translate business requirements into effective AI solutions\n\n Desirable \n\n • Generative AI experience\n, • Large Language Models (LLMs)\n, • LangChain or similar frameworks\n, • Spark, Hadoop or other big data technologies\n, • Experience with distributed computing, streaming platforms or workflow orchestration tools\n, • Experience monitoring and optimising model performance in production environments\n\n Apply Now \n If you want to work at the forefront of AI innovation and contribute to impactful projects that solve real business problems, we'd love to hear from you. \n This is an excellent opportunity to join a growing team delivering innovative AI solutions while developing your technical expertise and career within a highly collaborative environment. \n Apply now or send your CV directly. Shortlisting is underway and applications are being reviewed immediately.

\n As a Principal Engineer, you won't just be writing code—you will be shaping the technical DNA of one of the UK’s leading financial institutions. This is a high-visibility career move where you’ll champion modern engineering practices, steer large-scale system designs, and mentor high-performing teams to deliver robust, cloud-native platforms powered by Java, AWS, and Kafka. \n Great benefits work from London/Manchester 2 days a week. Plus bonus, pension and much more What’s in it for you?\n\n • True Technical Influence: Drive the definition of our overarching technical strategy, product roadmaps, and cloud-ready migration plans using modern architecture.\n, • Industry Recognition: Act as our engineering ambassador, leading participation in major internal and industry-wide tech conferences and events.\n, • Modern Tech Culture: Work within a highly collaborative microservices environment leveraging real-time event streaming and cutting-edge development tooling.\n, • Location Flexibility: Work from our state-of-the-art hubs in Edinburgh, London, or Manchester with a balanced hybrid setup.\nYour Mission (What you’ll do)\n In this role, you will balance high-level strategic architecture with hands-on technical leadership. \n\n • Lead & Deliver: Manage the technical delivery of one or more software engineering teams, safeguarding code quality, scalability, and performance.\n, • System Architecture: Convert complex functional and non-functional requirements into elegant, high-performance, and resilient system designs across AWS infrastructure.\n, • Build the Foundation: Design and develop reusable libraries, APIs, and real-time Kafka data pipelines to be leveraged by engineering teams across the entire bank.\n, • Stakeholder Partnership: Engage directly with senior stakeholders to explore, suggest, and refine appropriate technical solutions for business-critical features.\n, • Champion Quality: Advocate for excellent architectural principles, writing clean, robust Java code alongside unit and integration tests within automated environments.\nWhat you’ll bring to the table (The skills we need)\n We are looking for a seasoned engineering leader who is passionate about modern, scalable software design. \n\n • Core Java Expertise: A strong background in Java development, with an excellent understanding of programming best practices, especially around scalability, availability, and performance.\n, • Cloud & AWS Infrastructure: Proven experience designing, deploying, and maintaining resilient systems within AWS cloud environments.\n, • Event-Driven Architecture: Deep understanding of real-time data streaming and messaging systems, with hands-on experience using Apache Kafka to decouple microservices.\n, • Technical Leadership: Proven experience leading software development teams, introducing and executing technical strategies from scratch. Excellent communicator and building teams.\n, • Modern Practices: A strong advocate for Test-Driven Development (TDD), automated test frameworks, mocking, stubbing, and API design.\n, • Adaptability: The ability to rapidly translate complex business requirements into technical solutions, and a proven track record of supporting and maintaining code written by other teams.\n\n

Role – Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location –(Remote) UK Job Description Your role: As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: · 5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) · Strong proficiency in Java, Python, or Scala · Solid understanding of event-driven architecture and data streaming patterns · Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure · Familiarity with Docker, Kubernetes, and CI/CD pipelines · Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: · Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center · Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink · Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC · Confluent certifications (Developer, Administrator, or Flink Developer) · Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes · Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns · Exposure to monitoring tools (Prometheus, Grafana, Splunk) · Experience with data lakes, data warehouses, or big data ecosystems Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: · High analytical skills · A high degree of initiative and flexibility · High customer orientation · High quality awareness · Excellent verbal and written communication skills

Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. We're looking for software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. You'll own revenue-critical infrastructure - the kind where correctness isn't negotiable and downtime isn't an option. Our usage events platform processes every merchant action that determines how their customers get billed, making it one of the most critical systems we run. You'll work on the evolution of this platform to handle exponential growth while maintaining perfect accuracy. This is a rare opportunity: you're joining early enough to make fundamental architectural decisions, but late enough that real customers depend on what you build. You'll design systems that process high-velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. Own revenue-critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non-negotiable and uptime is measured in nines. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10x the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. Drive impact on a small team. We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. ✅ Love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. ✅ Have strong experience in event-driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. ✅ Think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. ✅ Own your infrastructure. You've provisioned cloud resources, written infrastructure-as-code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. ✅ Write backend code in strongly-typed languages. Our services run on Kotlin, though you don't need prior experience - many of our engineers learned it here and loved the challenge. What matters is that you're comfortable with type systems and backend development. ✅ Want to work on something new. The biggest technical decisions still lie ahead. You'll help define our infrastructure strategy, not just implement someone else's vision. ✅ Thrive in uncertainty. We're an early-stage company. Priorities shift as we learn from customers. Requirements evolve as we understand the problem space. You find this energizing, not frustrating. ✅ Care about customers and their problems. You'll work directly with customer data and build systems that power their revenue. You'll need to understand not just how to build things, but why they matter. 👎 Prefer staying in your lane. We're small and fast-moving. Engineers here work across different parts of the system and adapt as needs change. 👎 Want a predictable roadmap. We don't have a year-long backlog of perfectly scoped tickets. We figure out what to build based on customer needs and technical priorities. 👎 Prefer a slower pace. We're solving real problems for customers today, which means we need to move quickly and make pragmatic tradeoffs. 👎 Want startup perks with big company stability. We're early stage - that comes with excitement and opportunity, but not the benefits package of an established tech company. The salary range for this role is £90,000 - £110,000 + share options Early ownership of critical infrastructure at a fast-growing company Real architectural influence - your decisions will shape how we build for years A collaborative team that values deep technical work and continuous learning We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York - whatever you prefer. The hiring process follows the same general outline for all engineering roles. 1️⃣ First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. 2️⃣ Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice, and you'll work with the engineers to solve some requirements and write a test suite. 3️⃣ System Design Interview (60 mins): Focused on how you approach system design problems, own the solutions, and apply a product mindset. 4️⃣ Final interview (30 mins): A final interview with our CEO, Riya.

Integration Architect - Kafka \n \n Rate: £600 per day (Outside IR35)Duration: 6-month contractLocation: London - 4 days per week onsite \n \n Overview: \n I'm currently supporting a client on a major transformation programme who are looking to appoint a highly experienced Integration Architect to define and lead their enterprise integration strategy. \n This is a hands-on technical architecture position where you'll be responsible for shaping the future integration landscape, establishing architectural standards and building a modern event-driven ecosystem. You'll work closely with engineering leadership to create an integration capability centred around Kafka, microservices, cloud native technologies and API-first principles, whilst helping to build and mentor a high performing integration engineering team. \n \n Responsibilities \n\n • Define and own the enterprise integration strategy across multiple business domains.\n, • Design a scalable, event-driven architecture using Kafka as the core messaging platform.\n, • Establish best practice integration patterns, architectural standards and governance.\n, • Build and help scale a modern integration engineering capability, providing technical leadership and mentoring.\n, • Design resilient, loosely coupled microservices architectures following domain driven design principles.\n, • Lead architecture across APIs, messaging, streaming and asynchronous communication.\n, • Drive the adoption of API-first and event-first development practices.\n, • Produce high-quality architecture artefacts including target-state architectures, roadmaps, integration blueprints and technical standards.\n, • Work closely with engineering teams to ensure architecture is delivered in line with strategic objectives.\n, • Collaborate with senior stakeholders to align business goals with technical delivery.\n, • Champion modern engineering practices including automation, CI/CD and cloud native development.\n\n Essential Skills \n\n • Proven experience creating and delivering enterprise integration strategies.\n, • Extensive experience designing event-driven architectures.\n, • Strong commercial experience with Kafka and event streaming platforms.\n, • Deep understanding of microservices architecture and distributed systems.\n, • API-first architecture using REST and asynchronous messaging patterns.\n, • Strong Java and Spring Boot background.\n, • Experience designing cloud-native integration platforms on AWS.\n, • Strong understanding of messaging patterns, event sourcing and eventual consistency.\n, • Experience establishing architectural governance and integration standards.\n, • Excellent stakeholder management and technical leadership skills.\n\n Desirable Skills \n\n • Kubernetes (EKS) and container platforms\n, • AWS services including API Gateway, SNS, SQS and EventBridge\n, • DevOps and CI/CD pipelines\n, • Integration observability and monitoring\n, • Financial Services experience ideally (Payments, FX or Banking)\n\n Experience Required \n\n • 10+ years in solution or integration architecture.\n, • Experience building enterprise integration capabilities from both a technical and strategic perspective.\n, • Proven track record delivering large-scale event-driven platforms using Kafka.\n, • Experience leading architecture across multiple engineering teams.\n, • Strong background in cloud-native software engineering and distributed systems.\n, • Comfortable operating as both a strategic architect and a hands-on technical leader.\n\n \n Reasonable Adjustments: \n Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. \n If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right her... ZIPC1_UKTJ

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Backend Engineer to join our distributed team across Europe of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML that serves at scale for hundreds of millions of users. • Design, develop, and deliver robust and scalable backend systems and APIs., • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems and build new product features., • Write clean, maintainable, well-documented code, adhering to coding best practices., • Participate in the improvement of our software development standards and practices., • Stay up-to-date with emerging backend technologies and best practices., • Be a member of the Spotify-wide backend developer community affecting and driving our architecture across the company., • You have experience writing distributed, high-volume Java services and know how to deploy and keep them running in production., • You have a good understanding of data structures and algorithms, and understand how to apply them to design pragmatic solutions., • You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences., • You love working in an environment where you constantly experiment and iterate quickly., • You believe data is the most powerful tool for informed decision-making., • You care about quality and you know what it means to ship high quality code., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Senior Data Engineer - Greater Manchester An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: • Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure)., • Source and verify data from multiple sources, ensuring it is ready for ingestion., • Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies., • Analyse large datasets using Python and SQL., • Set up new pipelines for data streaming, enrichment, and curation., • Manage and maintain source code repositories (GitHub)., • Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: • Strong proficiency in SQL and Python., • Experience in cloud data solutions (AWS, GCP, or Azure)., • Experience in AI/ML., • Experience with PySpark or equivalent., • Strong problem-solving and analytical skills., • Excellent attention to detail., • Ability to manage stakeholder relationships effectively., • Strong communication skills and a collaborative approach. Why Join Us? • Work with cutting-edge technologies in cloud data engineering and AI/ML., • Opportunity for career growth and professional development., • Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now! Senior Data Engineer - Greater Manchester