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Lead Data Engineer page is loaded Lead Data Engineerlocations: UK - Hooktime type: Full timeposted on: Posted Todayjob requisition id: R At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your role: Lead Data EngineerTo be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Your Responsibilities: Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements. Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud. Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood. Drive strong technical standards, technical processes governance and control. Support and execute quality change management practices, ensuring a high bar for quality. Drive Elanco's data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism. Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon. Act as an escalation point of contact to diagnose and problem solve data engineering challenges. Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes. Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation. Embrace and demonstrate a learning, growth, and sharing mindset. Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT. What You Need to Succeed (minimum qualifications): Bachelor's Degree in Computer Science, Software Engineering, or equivalent professional experience. 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. What will give you a competitive edge (preferred qualifications): Proven ability to lead and deliver complex data projects. Expertise in data pipelines, integration and analytics practices and capabilities. Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.). 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. Familiarity with machine learning workflows, data quality, and data governance. Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.). Experience as a coach and/or mentor in developing technical skills. Good interpersonal and communication skills; proven ability to work effectively within a team. Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible. Additional Information: Travel: 0-10% Location: Hook, UK - Hybrid Work Environment If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected statusElanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see ourElanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose(TM) CSR framework - all to advance the health of animals, people and the planet. Learn more at .

Job Description Job Location: Belfast Salary: Competitive (based on experience) Level: Accenture will be hiring at Assoc Manager level Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. As a team Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for our clients. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialised skills and tailored solutions. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. The Opportunity Do you lead with both technical depth and delivery excellence? At Accenture Technology, we're looking for an engineering focused Delivery Lead who combines genuine technical credibility with a track record of leading complex programmes and the curiosity to drive teams forward in an AI enabled world. You'll be embedded in real client engagements across our Global Delivery Network - working with some of the world's most ambitious organisations to deliver technology transformation that genuinely matters. You'll bring the confidence to engage in architecture conversations, contribute meaningfully to technical decisions, and inspire engineering teams through a shared understanding of what great delivery looks like. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, this is a role for someone who wants to shape the future of engineering delivery - not just manage it. What You'll Do You'll own end to end delivery - accountable for quality, pace, and client confidence from kick off to go live. Here's how that breaks down: Lead Drive delivery of high quality technology transformation programmes, on time and on budget Lead multi functional, geographically distributed engineering teams across the full delivery lifecycle - design, build, test, and deploy Coach and develop your team, creating an environment where AI tooling and modern engineering practices are adopted thoughtfully and with measurable impact Act as a trusted technology delivery partner for clients - bridging the gap between engineering reality and business expectation Plan & Decide Actively contribute to technical decisions - evaluating architectural trade offs, build vs. buy options, and their downstream impact on delivery risk and pace Use AI assisted planning tools to improve estimation accuracy, forecast risks earlier, and drive more data informed sprint and programme decisions Develop and manage end to end delivery plans across Agile, Scaled Agile, Kanban, and Waterfall methodologies Proactively manage Risk, Assumptions, Issues, and Dependencies (RAID) - using AI tooling to surface patterns and predict blockers before they land Lead governance, stakeholder reporting, and budgetary control with clarity and accountability Shape the Future of Engineering Delivery Champion AI enabled delivery practices within your teams - from AI assisted backlog refinement and sprint forecasting to automated status reporting and retrospective insight Stay ahead of where engineering delivery is going - agentic development, AI in the SDLC, DevSecOps, platform engineering - and bring those practices into your programmes Drive a culture of continuous improvement, where teams are empowered to experiment, iterate, and raise the bar on how software is built and shipped Contribute to Accenture's engineering delivery community, sharing what works and influencing practice at scale Qualification Proven track record of successfully leading end to end technology delivery programmes at scale, including budget ownership Strong engineering background - able to actively engage in technical design, architecture, and solution decisions, not just translate between teams Solid experience across Agile (Scrum, Kanban, Scaled Agile/SAFe) and Waterfall delivery methodologies Experienced people leader - able to build, motivate, and develop high performing, cross functional engineering teams Excellent stakeholder management skills - confident engaging senior client and internal leaders on both technical and commercial dimensions Strong organisational skills, able to manage multiple priorities and workstreams simultaneously Hands on user of AI enabled delivery tooling who actively champions adoption across their teams - able to speak concretely to how it has changed the way you plan, report, and lead AI Enabled Engineering Leadership (Essential at CL8) Practical experience using AI tools to improve delivery outcomes - e.g. AI assisted risk identification, sprint forecasting, reporting automation, or retrospective analysis Ability to coach teams on responsible and effective use of AI in a delivery context, maintaining human judgement and accountability on high stakes decisions Awareness of AI's evolving role in the SDLC - from AI assisted code generation and testing through to agentic workflows and autonomous delivery tooling Understanding of where AI adds genuine value in engineering delivery - and where human oversight remains essential Set Yourself Apart Proven ability to manage complex multi vendor or multi team delivery environments Experience influencing senior stakeholders and navigating organisational complexity Demonstrable knowledge of modern engineering practices - DevSecOps, SRE, platform engineering, modern architecture Relevant Cloud and Delivery certifications (e.g. SAFe, AWS, PMP, Prince2) Strong Technical and Emotional Quotient - able to hold both the engineering depth and the human dimensions of delivery What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days of vacation per year, access to app based fitness classes and discounts on a range of gyms, private medical insurance and three days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role to deliver the first class services we are known for. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

SENIOR DATA PLATFORM ENGINEER ABOUT US Every day, we push beyond expectations to help millions of people save money, at a time when it's never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we're exceptionally proud of! Creative, collaborative, ambitious - it's hard work. But what makes it worth it? Leaving work knowing we've made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you've got a workplace with lots of personality. We're open minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong. WHY JOIN THE DATA TEAM As part of the company Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision making. Data & AI Engineering is a cross functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence. ABOUT THE ROLE This is a hands on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across the company. AI assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on. WHAT YOU WILL BE DOING Build and operate the data platform Contribute to the design, delivery and operation of platform infrastructure using infrastructure as code, primarily Terraform. Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self serve safely. Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices. Deliver reliable data products Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalisation. Stay close to the business context and apply software engineering practices to solve specific data problems. Improve monitoring, alerting, data quality checks and observability so issues are detected and understood quickly. Improve engineering workflows with AI and automation Identify repeated or high friction engineering tasks and turn them into reliable automated or AI assisted workflows. Help shape team practices for coding agents, prompts, local instructions, skills, hooks and tool integrations where they deliver real value. Balance speed with security, reviewability and maintainability when introducing AI assisted delivery patterns. Enable the wider team Share practical learning through documentation, demos, pairing and show and tell sessions. Support more junior team members through coaching, code review and clear engineering standards. Keep an informed view of the fast moving AI tooling landscape and recommend adoption where it solves real team problems. WHAT WE LOOK FOR Essential experience and strengths Strong software or data engineering fundamentals, including production Python and SQL. Experience building, operating or improving cloud based systems. Familiarity with infrastructure as code, CI/CD, version control and automated testing. Ability to reason about reliability, security, observability and operational support. Experience working with technical and non technical stakeholders and communicating clearly. Curiosity about AI assisted engineering and automation, with an interest in applying these tools to practical delivery workflows. Useful but not essential Experience with GCP, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms. Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding agent instructions, hooks or SDKs. Experience with BDD/TDD, design for testing, or improving testability in data and platform systems. WHAT REWARDS ARE ON OFFER Up to 27 holidays + bank holidays Pension up to 6% employer contribution Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access HOW WE'LL INVEST IN YOU We're invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At the company, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We're committed to minimising systemic bias and creating a level playing field for all candidates. We provide reasonable accommodations in the application process. You do not need to disclose your disability or condition - just specify your needs and we will guide you through available accommodations.

Tesco UK • Welwyn Garden City • Full-Time • Permanent • Working hours 36 • Apply by 29-May-2026 The Product & Engineering team is responsible for developing and managing data products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Stores, Finance, People, Customer, Commercial to enable the seamless build, consumption, integration and expansion of Data & AI capabilities. This is a fantastic opportunity to join our team and play a leading role in defining, building and launching new type of data products that have a real impact on Tesco business & colleagues. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. Responsibilities Team Leadership: Build, mentor and develop a high-performing team of analysts, fostering a culture of growth, inclusion and technical excellence with a strong emphasis on data and advanced analytics. Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business needs into robust, data driven solutions. Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical use of data. Continuous Improvement: Drive continuous improvement (speed of delivery, product quality, reduce number of defects and time to fix) and facilitate innovation in business practices and ways of working. Stakeholder Engagement: Communicate complex data and analytics concepts effectively to technical and non-technical audiences, enabling informed decision making. Talent Development: Support recruitment, onboarding, and ongoing development of talent within the team. Identify skill gaps and lead targeted upskilling initiatives to enable the team to adopt software engineering best practices, AI capabilities, advanced analytics and automation practices. Qualifications Experience developing robust data products that are actionable and scalable. Expertise of using Spark, Dremio, Teradata or other SQL technologies. Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. Experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling, building data pipelines and building analytical/web interfaces. Good understanding of the full data lifecycle and understanding of typical enterprise concerns around data platforms (Governance, Quality, Security). Experience creating outputs for both technical and non-technical audiences. Ability to manipulate, analyse and synthesise data using different sources to create customer led, data driven products and high impact presentations. Highly numerate with a university degree of 2:1 or higher in a quantitative discipline or relevant experience. Benefits Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Private medical insurance 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing Equal Opportunities We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please contact us.

Nscale is the GPU cloud engineered for AI. We provide cost effective, high performance infrastructure for AI start ups and large enterprise customers. Nscale enables AI focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. At Nscale, our Support and Operations team plays a critical role in maintaining service availability, driving service reliability and rapid response to customer tickets. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About The Role We're looking for an Engineer that has good people, leadership & technical skills. A technical expert responsible for ensuring the efficiency, reliability, and scalability of data centre infrastructure. You're comfortable problem solving & making decisions on complex topics with high levels of ambiguity in a results driven environment. You're comfortable influencing without authority and exceptional at building relationships with senior stakeholders across the business to get things done. You have the understanding and skillset to grasp technical concepts and problems quickly. You have strong analytical skills. You're a doer who is extremely organised and diligent. You're a self starter, curious, and quick to learn, knowing what questions to ask to get up to speed quickly. What You'll Be Doing Join the Support duty rotation and handle day to day tickets and alerts, escalating early and appropriately. Collaborate with Engineering with guidance when incidents or changes require it. Accurately record, update, manage and resolve tickets using the ticketing system whilst keeping all parties informed of the tickets progression. Follow established runbooks to resolve common issues. Propose improvements and contribute incremental fixes with review. Keep tickets up to date with clear notes, next steps, and customer communications via the agreed channels. Learn the Platform fundamentals so you can help customers get value from our services, asking for support when deeper expertise is needed. Participate in monitoring, troubleshooting, and triage. Capture logs and facts to enable efficient handover. Deliver assigned tasks and project work to agreed quality and timelines. Flag blockers early and seek help when needed. Share knowledge by documenting steps you've validated and by contributing to training materials. Shadow seniors during complex work to build capability. Take part in incident reviews as a contributor and help track preventative follow ups in your scope. Identify areas for implementation for automation to optimise processes. Constantly endeavour to learn and upskill. Collaborate with cross functional teams for service improvements. Be the escalation point for onsite operations staff. Participate in on call or out of hours work when scheduled and after onboarding. Availability to travel to Nscale or Customer locations to assist with deployments, troubleshooting and operational tasks and attendance of supplier related training courses. About You (Skills / Qualifications) Growth mindset. Curious, dependable, and collaborative. You seek feedback, ask questions, and invest in learning to progress toward Senior. Platform and DC fundamentals. Awareness of servers, networks, storage, and virtualisation concepts, ideally from a support or operations background. Linux fundamentals. Comfortable with the CLI, services via systemd, filesystems, permissions, and basic networking tools. Able to troubleshoot common issues and know when to escape. Networking basics. Solid grasp of IP addressing, subnets, VLANs, routing at a high level, DNS, and firewalls. Advanced topics like BGP or VXLAN are a plus, not required. Kubernetes exposure. Understand core concepts like nodes, pods, services, and logs. Can perform basic troubleshooting and follow runbooks. Cluster level administration experience is a nice to have. GPU awareness. Familiar with basic diagnostics such as nvidia smi. Observability foundations. Able to use dashboards and alerts to identify symptoms, gather evidence, and follow runbooks. Comfortable proposing simple alert or dashboard tweaks with review. Scripting and automation basics. Comfortable reading and writing simple Bash or Python snippets and using Git for version control. Experience with Ansible or Terraform is beneficial but not required. Cloud and virtualisation basics. Familiarity with common hypervisor or cloud troubleshooting flows. OpenStack experience is a plus, not a requirement. Nice to Have Hands on exposure to Kubernetes administration, operators, and storage or networking add ons. Deeper GPU/HPC concepts such as RDMA/InfiniBand, performant distributed workload basics, or job schedulers. Awareness and use of NCCL for performance troubleshooting. Infrastructure as Code and config management tools like Ansible or Terraform. GitOps and CI/CD participation. Contributing to pipelines and modernising scripts using GitHub Actions or similar. Experience with access and security tooling used at Nscale, such as Teleport or Vault. Progress toward relevant certifications over time (e.g., Linux, Kubernetes, cloud, or security). What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting edge AI. Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. Human First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice.

Job Title: QA Manager Location: London Company: BritBox International Reporting to: SVP of Technology and Opearations Contract Type: Permenant Job Purpose: We are looking for a senior QA Manager to lead and scale our Quality Assurance function. Reporting to the SVP of Technology and Opearations, you will own the QA strategy across BritBox International's software development lifecycle, manage a team of 5-10 QA professionals, and be accountable for the quality of every release we ship to millions of viewers worldwide. This is not a traditional QA management role. We are seeking someone who is deeply hands on with AI powered testing and automation. Experience with agentic AI frameworks, large language models in a testing context, and tools like Claude Code is a core requirement. You will be expected to drive a step change in how we approach quality by embedding AI driven automation into every stage of our testing lifecycle. Responsibilities QA Leadership & Strategy Define and own the QA strategy for BritBox International, aligning quality objectives with product and engineering goals. Manage, mentor, and grow a team of 5-10 QA engineers across manual and automated testing disciplines. Establish and track quality metrics (defect density, test coverage, escape rates, mean time to detect) and report on quality health to senior leadership. Act as the primary point of contact for all QA aspects of releases, coordinating resources across internal teams and external partners. Champion a quality first culture across the organisation, embedding QA best practices into Agile/Scrum delivery workflows. AI Driven Test Automation (Essential) Design and implement an AI first test automation strategy using agentic frameworks and LLM powered tools such as Claude Code, Playwright agents, and similar technologies. Build and orchestrate multi agent QA architectures - leveraging specialised AI agents for test planning, test generation, test execution, self healing scripts, and defect triage. Drive adoption of AI assisted test case generation, reducing manual effort and increasing coverage across web, mobile, and connected TV platforms. Evaluate, integrate, and maintain AI/ML tooling within the CI/CD pipeline, ensuring automated quality gates are robust and reliable. Stay current with the rapidly evolving AI testing landscape and bring forward innovations that give BritBox a competitive edge (e.g., autonomous test agents, agentic orchestration, self healing test suites). Technical QA & Delivery Oversee end to end testing across functional, regression, performance, and exploratory testing disciplines. Collaborate closely with engineering, product, and DevOps teams to integrate quality checkpoints into CI/CD pipelines. Define and maintain test automation frameworks using industry standard tools (e.g., Playwright, Cypress, Selenium) augmented by AI capabilities. Ensure comprehensive test coverage for multi platform experiences including web, iOS, Android, and connected TV (Roku, Fire TV, Samsung, Apple TV, etc.). Manage defect lifecycles, root cause analysis, and continuous improvement initiatives to reduce regression and production incidents. Process & Governance Develop and maintain QA documentation, including test strategies, test plans, and quality standards. Establish governance around AI tool usage in testing, including prompt engineering best practices, agent guardrails, and output validation processes. Drive continuous improvement through retrospectives, data driven insights, and industry benchmarking. Knowledge and Experience Must Have Experience in software quality assurance, with experience in a QA management or leadership role. Proven hands on experience with AI driven testing tools and agentic frameworks - including but not limited to Claude Code, LLM powered test generation, Playwright agents, or equivalent AI native QA tooling. This is a core requirement. Strong understanding of agentic AI architectures and how to apply them in a QA context (multi agent orchestration, self healing tests, AI assisted triage). Demonstrated experience building and leading QA teams of 5+ people in an Agile/Scrum environment. Deep expertise in test automation frameworks (Playwright, Cypress, Selenium, or similar) and CI/CD integration. Strong technical background with proficiency in at least one programming/scripting language (Python, JavaScript/TypeScript, or similar). Knowledge of prompt engineering and fine tuning LLM outputs for QA use cases. Experience with API testing, performance testing, and cross platform testing (web, mobile, connected TV). Excellent understanding of the software development lifecycle and modern delivery practices. Nice to Have Experience in the media, entertainment, or streaming/OTT industry. Familiarity with cloud infrastructure (AWS, GCP) and containerised environments. Experience with accessibility testing and compliance standards. Contributions to open source QA or AI testing tools/frameworks. ISTQB or equivalent QA certification. What we're looking for in a Person A forward thinking leader who sees AI not as a buzzword but as a practical, transformative tool for quality engineering. Someone who thrives in a fast paced, evolving environment and is comfortable with ambiguity. A strong communicator who can translate technical QA concepts for non technical stakeholders. A team builder who invests in growing people and fostering a collaborative, psychologically safe team culture. Genuine curiosity and a continuous learning mindset - particularly around emerging AI and automation technologies. Our Values Our BritBox Global Values not only represent our culture but also ensure that we have principles that shape everything we do. Defined by our employees, they are not just words on a page, but the foundation of how we work together, every day. Our values have been cascaded into specific behaviours, which are embedded into all of our people processes, including hiring, onboarding, performance evaluation and feedback. We are proud of our values and seek to hire people who resonate with them. This job spec is not exhaustive and may change from time to time in line with the evolving nature of a dynamic and growing business.

About us Vida Bank provides competitive savings products through Vida Savings and specialist mortgage solutions through Vida Homeloans. Our mortgage business supports Buy to Let (BTL) and residential borrowers (ROO) who find themselves underserved elsewhere. Our mortgage customers range from Buy to Let investors, to the self-employed and customers with multiple jobs. Our savings proposition is delivered online via our website, and is focussed on providing savers with fair, transparent and competitive rates. Our typical customers are active savers, who tend to look beyond their current account provider for savings accounts. Our business model and strategy are underpinned by our core purpose to ' Help More People Find a Place to call Home' . We are here to help the under-served, especially those with more nuanced personal circumstances or borrowing needs who are not able to access a mortgage from a mainstream mortgage lender. Working exclusively with intermediary partners, we combine cutting-edge technology with skilled and caring underwriting expertise to solve complex customer problems. As a fully regulated UK based bank with ambitious growth aspirations, we recognise the importance of having a clearly articulated culture strategy and the need to actively manage how it embeds in the business together with the behaviours which exemplify it. As a recognised Best Companies Top 100 mid-sized company to work for in the UK and a finalist at the Financial Reporter Women's Recognition Awards, we take pride in our diverse workforce, championing both ethic and gender diversity through our EDI commitments. Having met the target set by being a member of the HM Treasury Women in Finance Charter we have 50% of senior management roles filled by women. With offices in London, Newcastle and Skipton, we bring our teams together regularly to collaborate and empower our colleagues to have more choice around when and where they work on the days they are not in the office, with colleagues working remotely in various locations across the UK. Our Culture We are proud to have built a culture founded on an ethos of caring, and that sits at the heart of our Vida Values, driving the way we run our business, support our customers and other stakeholders on a daily basis. We genuinely care about delivering the right outcomes for all our stakeholders who we consider through the cultural framework as our customers, colleagues, company and communities that we operate in. By Joining Vida you will have a sense of belonging in what is a diverse and collaborative environment, where you will be empowered to take responsibility for driving delivery. We embrace a diversity of backgrounds and experiences in our people, in the deeply held belief that better outcomes are achieved for customers when our colleagues are better placed to empathise with and understand their unique circumstances. From application to interview, we place inclusion at the heart of all we do. Role Overview: The Cloud Platform lead is a newly created role within Vida Banks technology team, introduced to support and provide strategic oversight for the growth and increasing complexity and reliance on the organisations cloud infrastructure footprint. This hands-on engineering role builds, operates, and improves secure and resilient cloud platform services. It collaborates with the Head of Technology Operations, internal teams, and third-party partners to ensure consistent implementation, effective operation, and ongoing enhancement of Azure services aligned to business requirements and growth. A strong opportunity to combine technical ownership with strategic impact in a collaborative, forward-thinking environment. Key Responsibilities: Build, operate, and continuously improve resilient, dependable, and appropriately secured Azure platform services in line with Vida's policies, compliance, and security requirements. Take a hands-on technical role in the deployment, configuration, and ongoing management of Azure infrastructure, including AKS, Terraform, Serverless Compute services, PaaS, IaaS services. Lead a technical team of two members, providing strategic direction, mentorship, and ongoing support. Develop reusable patterns, configurations, and modules for consistent platform use. Enable product teams to be increasingly self-sufficient through great documentation, collaboration, and thoughtful use of automation and AI. Set and enforce engineering standards across cloud, automation, and configuration management. Observability and operations: Azure Monitor, Log Analytics, Application Insights, /performance telemetry, and SLAs/SLOs for pipelines. Produce and maintain clear, accurate documentation covering platform setup, configurations, operational procedures, and support processes, ensuring audit readiness. Provide metrics and reporting of services to the Head of Technology Operations. Lead cost optimisations (FinOps) and platform performance. Work collaboratively and where required provide direction to other members of the technology team in support of day-to-day operations and the delivery of key strategic projects. Influence tooling, ways of working and adoption of modern technologies across teams. Requirements: 6+ Years experience designing and operating cloud platforms (Azure essential). Strong background in Infrastructure operations. Proven expertise with Infrastructure-as-code (Terraform) & Kubernetes (AKS) design and deployment. Proven experience deploying and operating: Compute Services, Function Apps, Logic Apps, Storage Services, Network Services, Azure Data Factory Services & Data Bricks Deep understanding of cloud security, networking, DevOps & ICD Pipelines. Confident communicator to be able to influence team members, architects, and stakeholders. CNCF certifications. Experience in regulated environments (FS preferred). Our Values Our values are well established and recognised throughout our organisation. They provide a frame of reference for the behaviours expected from our colleagues every day. We find ways to break old conventions, especially those which cause exclusion or customer harm. We look for these qualities when hiring new talent into the organisation, and they underpin our approach to personal development and performance management for all our people. At the heart of this is the fact we care about our Customers, Our Colleagues and our Communities. We are: Visionary - We innovate and break old habits, thinking big and pushing boundaries together as one team Inclusive - We value each other's differences and work to see people for who they really are Dynamic - We are flexible and fast, cutting through complexity and never accepting second best Authentic - We are honest and genuine, what you see is what you get Benefits We offer a comprehensive benefits package to support our employees' professional and personal needs. Further details can be provided upon application.

OUR IMPACT Corporate Planning & Management (CPM) unifies Finance & Planning, Global Procurement, Product & Reporting, CPM Engineering and CPM Management teams to deliver business planning and analytics, expense management, third party risk management, sustainability strategy for our operations and supply chain, and governance strategies across the firm. Global Procurement Enables the firm to work strategically with third parties, ensuring strong commercial and compliance controls while promoting sustainability. It drives value, encourages innovation, and reduces risks throughout the supply chain for services and non compensation spending. Key teams include Strategic Sourcing, which works with business units to source and contract third party products and services, optimize value, and digitize commercial commitments. They monitor the firm's main relationships to support ongoing improvement and consistent value delivery. Third Party Risk Management (TPRM) identifies, assesses, manages, and monitors third party risks for all relationships, including vendors and contingent workers, helping to prevent issues like cybersecurity threats and operational disruptions. Procure to Pay (P2P) oversees the payment process, from vendor onboarding and invoice handling to travel expense processing and compliance, ensuring efficiency. The Travel team manages travel services and policy for cost effectiveness and compliance. Sustainable Operations lead emission reduction strategies and ESG risk management in the supply chain, supporting environmental and social goals. Product & Reporting Manages product lifecycle and reporting for vendor supplied and internal solutions. This team provides CPM stakeholders with tools and insights to meet business and regulatory needs. The Product team maintains technology platforms like FP&A systems, Spend Management, and Third Party Risk Management tools, focusing on user experience and digital workflows for vendor management and compliance. The Reporting team creates reports, dashboards, and analytics to show spending patterns, risk metrics, and performance, helping stakeholders monitor KPIs, find cost savings, and make informed decisions while ensuring data accuracy and compliance. Finance & Planning Manages planning and reporting to support the firm's strategic goals, integrating revenue, expense, liquidity, and capital planning in collaboration with Controllers, Treasury, and Risk. This pillar includes divisional CFOs who advise on financial opportunities and manage zero based budgeting. Product Finance oversees governance and accounting for non compensation expenses, ensuring efficient use and transparency for senior leadership. Corporate Insurance & Advisory manages insurance needs, connects risk to insurance solutions, and provides advisory support for firm activities and claims. CPM Engineering Develops solutions for managing third party spend, data, automation, budgeting, forecasting, and expense allocation to support decision making aligned with strategic objectives. CPM Management Includes senior leaders and teams that give strategic oversight and operational support across The Core. This pillar covers the Chief of Staff function and Communications and User Engagement team, which manage change initiatives and people strategies for CPM. It also leads operational risk programs, ensures compliance with risk and resilience policies, and manages CPM specific risks with proper controls. YOUR IMPACT This role sits within Product & Reporting. The Product & Reporting team is a global team who enable Goldman Sachs to manage our vendor contracts and third party risk actively and effectively, deliver supply chain effectiveness, travel & expense processing & enable Source to Pay activity through the platforms we maintain within our architecture. Through excellent functional, project, program, and change management skills, along with a bias for becoming the subject matter or technical expert and driving our strategic architectural vision, this team seeks to fulfil the vision of our clients and partners with employees across platforms like Ariba, S4, Concur, KY3P & Fieldglass. The Product & Reporting Team work closely with senior leadership, process owners, CPM Engineering and our vendors to drive supply chain value and achieve Corporate Planning & Management's objectives & key results. This role, positioned within the EMEA Product Team, will support the delivery of our Customer Journey through our ProcurementHub Process Orchestration Platform (Powered by ORO Labs). The role requires regular collaboration with various functions across the firm, independent work capability, and interaction with senior professionals. The ideal candidate will be a skilled Product Owner experienced across Procurement Platforms and Processes. This role requires a blend of analytical skills, business process expertise, product design capabilities, and low code/no code system configuration & testing experience to ensure the seamless implementation of the ProcurementHub platform. Job responsibilities will include, but are not limited to: Work with business stakeholders to gather and document requirements for ProcurementHub and convert them into detailed user stories. Partner with Strategic Sourcing and Third Party Risk Management (TPRM) teams to automate manual policies into user friendly processes. Architect and configure end to end procurement orchestration workflows using ORO Labs AI to automate complex intake, risk, and compliance processes. Identify opportunities to improve the procurement experience through automation and AI capabilities. Lead workshops, meetings, and demonstrations to align stakeholders, collect feedback and deliver user training. Define testing strategies and lead User Acceptance Testing (UAT) to ensure new features meet business objectives and GS security standards. Monitor platform adoption and usage metrics to identify friction points in the procurement journey. Leverage data driven insights to propose iterative improvements to the user experience. Communicate product updates, release notes, and roadmap progress to senior leadership and cross divisional partners. Assist with post go live validations and ensure smooth, defect free production rollouts. Qualifications: Bachelor's degree in Business Administration, Computer Science, Information Systems, or related field, or equivalent experience. Over 5 years' experience as a Business Analyst or Product Lead, preferably with understanding of the "Intake to Pay" lifecycle, including supplier onboarding, risk tiering, and contract management. Ability to build complex logic and workflows in orchestration platforms (e.g., ORO Labs, ServiceNow, or similar BPM tools) preferred. Understanding of Large Language Model (LLM) capabilities and the ability to write structured, effective instructions/prompts for AI agents to execute business tasks. Familiarity with data structures and the ability to map fields between disparate systems is preferred. Familiarity with Ariba Invoicing, Ariba SLP, S4 HANA, or similar Invoice to Pay and Vendor Management applications is preferred. Experience participating in at least one medium to large scale platform deployment project within Professional Services. Understanding of Agile change management and platforms such as JIRA and Confluence or comparable tools. Excellent analytical skills, with a preference for using data to guide decisions and direction. Outstanding communication skills and ability to work effectively with cross functional teams and present to senior leadership. Ability to collaborate across hierarchies and regions, with a flexible working style. Comfort working in a fast paced, evolving environment where requirements may shift based on regulatory or strategic changes. Experience in the Financial Services industry is advantageous, though not required. Proactive, enthusiastic, and team oriented attitude. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Senior Data Engineer Department: Data Employment Type: Permanent - Full Time Location: London Reporting To: Head of Data Description Role Overview: This is a broad, high-impact engineering role at Defaqto. You will be central to the structural transformation of how we manage and use market data - leading the technical build of a new core data model - while also owning the engineering that powers our research team's day-to-day operations and the wider data strategy. What you'll do We are at a pivotal moment in Defaqto's data journey. Our market data estate spans thousands of financial products, maintained by a team of 30+ researchers, and is being redesigned from the ground up into a unified market data model, replacing a flat, siloed structure with a scalable, enrichment-ready architecture. This role sits within the Data Team but works across the organisation, partnering and collaborating closely with Research T& Insights, Product, and IT. The successful candidate will help shape and build our next-generation data platform, contributing to architectural and tooling decisions alongside the CTO, Head of Data, and external data architect. Google BigQuery is the current lakehouse platform, but key tooling choices are still being defined. We are looking for an experienced engineer with strong technical judgement who can turn strategy into scalable, production-ready solutions. Alongside platform delivery, this person will lead the development and evolution of our research automation capability and play a key role in Defaqto's wider data and automation strategy. The initial focus will be implementing the agreed data model and technology approach while progressing automation initiatives in parallel. Data Model - Technical Build Implement the physical data model based on the agreed logical design and technology recommendations agreed during the architecture phase Build and maintain the transformation layer in the agreed tooling: staging models, mart models, tests, and documentation Design and implement compatibility views that allow existing research tooling to continue operating during transition Own the data quality framework - tests, monitoring, and alerting across the data model and downstream consumers Support the phased migration of the research data entry platform to write natively to the new schema Contribute engineering perspective to ongoing architecture decisions as the data model evolves beyond the initial scope Research Automation & Engineering Assess automation opportunities across research and data workflows and recommend the appropriate technical approach - whether rules-based, deterministic, or AI-assisted - based on the specific problem, data characteristics, and accuracy requirements Build and maintain automation pipelines that reduce manual research effort, selecting from the appropriate toolset including structured transformation, rules engines, and machine learning or LLM-based approaches where warranted Apply LLM and AI tooling to problems where unstructured data, variable formats, or language ambiguity make deterministic approaches insufficient - for example, extracting structured product attributes from provider documents or websites Ensure automation outputs - regardless of the method used - flow into the data model with appropriate quality controls and human-review checkpoints where confidence thresholds require it Be the primary technical partner for the Research & Insights team's data engineering needs Stay current with developments across the automation and AI engineering space and apply them with judgement, not by default Work with Research & Insights and Product stakeholders to identify high-value automation opportunities and maintain a prioritised delivery roadmap Data Strategy Implementation Contribute to and implement Defaqto's broader data strategy across the data estate Support the integration of acquired datasets (e.g. pricing and claims data) into the data model framework Build and maintain the data catalogue and lineage documentation Work toward an enrichment-ready data architecture that combines product attributes, performance, behaviour, and experience data. Participate in evaluating and adopting new data tooling as the stack evolves The opportunity A genuine opportunity to shape how a data-rich business transforms its core data infrastructure Broad scope - you will work across engineering, strategy, and automation rather than a narrow specialist track Collaborative team environment with a clear data strategy and leadership backing Hybrid working with flexibility What you'll need to succeed Essential requirements Strong hands-on experience with SQL and data modelling for analytical workloads (OLAP) Proficiency with dbt and familiarity with the broader SQL transformation layer ecosystem (SQLMesh, Dataform, or equivalent) - the specific tooling will be confirmed during the architecture phase and we are looking for adaptability across this space rather than allegiance to one tool Experience with Google BigQuery or an equivalent cloud data warehouse - BigQuery is our existing lakehouse platform Proven ability to design and implement data pipelines and ETL/ELT processes Experience working with version control (Git) and treating data infrastructure as code Proficiency with Python for data engineering and automation work Experience assessing and implementing automation solutions - able to evaluate whether a problem calls for rules-based logic, a deterministic pipeline, or an AI/ML approach, and build accordingly Practical experience working with LLMs or AI APIs in an engineering context - understanding of when they are and are not the right tool Ability to translate business rules and logic into reliable, testable data models Strong communication skills - able to work with non-technical stakeholders including researchers and product teams Desirable requirements Experience in financial services, insurance, or fintech data environments Familiarity with data quality frameworks such as Great Expectations or Soda Experience with Google Cloud Platform services beyond BigQuery (e.g. Dataplex, Cloud Composer, Pub/Sub) Exposure to .NET or relational SQL Server environments - relevant to legacy platform transition work Understanding of data cataloguing, lineage, and metadata management Experience applying ML or LLM-based approaches to document extraction, classification, or data enrichment problems Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndex, or experience with RAG architectures - valued where directly applicable, not a requirement in isolation Familiarity with semantic or metrics layers (e.g. dbt Semantic Layer, Cube.dev) Your approach to work: Engineering Standards & Ways of Working Champion engineering best practices across the data team: version control, code review, testing, documentation Ensure all data models and pipelines are maintainable, observable, and well-documented Contribute to defining and upholding data engineering standards across the organisatio Important to know Location This is a hybrid role where you'll work from the London office 3 times each week. Right to Work Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.

The Opportunity - Studio Systems Engineer At ICHI, our creative output relies on a seamless, highly functional technical infrastructure. We are looking for a forward-thinking Studio Systems Engineer to provide strategic oversight for ICHI's business technology and IT needs, with a laser focus on project delivery and our creative production pipeline. Working from either our London or Brighton offices, this isn't just a standard tech support role, it is a specialist role. You will be the definitive bridge between our creative ambitions and our technical capabilities. You will be responsible for representing UK technical needs on a global scale, designing the infrastructure in alignment with global guidelines and collaborating with the central infra team to support our teams, and anticipating production bottlenecks before they happen. You will blend deep technical intuition with operational rigour to ensure our internal staff and external freelancers have the perfect foundation to do their best work. You will have significant reach across the agency, shaping how we work from a technological standpoint. At ICHI, we value those who take ownership of the technical pipeline, bridging the gap between high-level IT strategy and on-the-ground creative production to build a best-in-class technical environment. At ICHI (part of Keywords Studios), we know a diverse workforce only elevates the great work we do. As such, we are an equal opportunities employer and we take diversity and inclusion seriously. Studio Systems Engineer - The Impact You'll Make Strategic Infrastructure & Pipeline Optimisation: Create and implement the technical infrastructure with guidance from our central infra team to support ICHI UK project delivery. You won't just maintain systems; you will proactively identify bottlenecks in the creative production pipeline (such as file rendering, collaborative proofing, and asset management) and develop solutions to streamline workflows from brief to delivery. Global Alignment & Transformation: Work with Operations leadership to act as the voice for the UK team's specialist technical needs, from a tooling and equipment level, at a global alignment level. You will help to coordinate seamlessly with North American operations teams to align global technical needs, ensuring NA creatives can easily access UK systems and projects. IT Collaboration & Strategy: Collaborate with the wider global IT team to manifest long-term infrastructure strategies, including server archival and remote-work hardware standards. You will assess creative needs and translate them into actionable IT requirements, like faster server connections or efficient permission alterations. Security & Asset Management: Help develop a multi-tiered approach to infosec compliance. You will ensure strict compliance with project requirements. You will also hold strategic oversight and auditing responsibilities for production kits across our Brighton and Holborn sites. By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at What You Bring to ICHI Technical Foresight: You are focused on technical future planning to actively support and evolve production workflows. Production Experience: Several years of experience in game development or digital agencies, with a proven track record of supporting complex production pipelines across gameplay capture, CG, and video editing workflows. Deep Tool Knowledge: You possess a strong understanding of production tools such as Parsec, Perforce, Unreal Engine, Maya, Blender, Davinci, Frame.IO, Adobe suite, and you know how to implement them into larger production systems. Engine & Code Familiarity: You have extensive experience working with proprietary engines like Snowdrop, and a basic understanding of coding to troubleshoot Visual Studio issues. You are comfortable installing and troubleshooting complex game engine builds, and creating supporting The "Proactive" Mindset: You anticipate project needs, building/auditing kit and manage VLAN setups before they become blockers. Technical & Professional Requirements Proven experience in complex project setups, including the physical preparation of machines, identifying required kit specs, and the installation of capture/cine builds and specific project software. Confidence in collaborating on comprehensive IT support with our central IT team, including submitting, triaging, and escalating IT tickets for the team. Experience efficiently onboarding and offboarding freelancers, managing user access/permissions in alignment with central IT, setting up test/dev kits, and handling server file storage. Ability to execute complex build appraisals, provide ongoing in-engine technical support, and liaise directly with client or developer tech teams. Demonstrated experience in leveraging AI and machine learning to build automations that measurably improve production pipeline efficiencies, specifically around creative workflows such as file rendering, collaborative proofing, and asset management would be a bonus. You are a confident communicator and a natural conduit between departments, comfortable dealing with internal teams needs on a day to day basis. Ability to distill complex infrastructure requirements into clear, actionable insights, ensuring key stakeholders and decision-makers are empowered to make informed decisions. Flexible Working - hybrid home and office working, Working Abroad Policy and Summer Hours. Company Pension Scheme BUPA Private Healthcare Income Protection Cover Life Assurance Employee Assistance Programme (EAP) Team Social Events Employee Schemes - Tech Scheme, Electric Car Scheme, Cycle Scheme Training Role Information: EN Studio: ICHI Location: Europe, United Kingdom, London Area of Work: Marketing Service: Engage Employment Type: Permanent Working Pattern: Full Time, Hybrid

Closing date 22nd May 2026 Job summary The software developer will be working within the development team of the Trust's Digital department. The role will be to provide software engineering including application development to support the hospital IT development strategy, using specialist systems, analysis and programming skills. Design, develop or adapt complex software, including installation and maintenance of complex software. To provide automated process solutions. Undertake technical problem solving. Provide specialist advice to staff on systems and policies. To integrate the Trust's electronic record with other clinical systems. Provide a working knowledge of data structure, design and relationships. We are looking for an experienced individual with excellent coding skills and ability to work as part of a busy team. You will have the ability to work on your own initiative and to prioritise your workload. Main duties, tasks & skills required Provide bespoke software solutions for process automation, system integration and data provision. Analyse, investigate and recommend technical solutions to meet highly complex data storage and reporting needs. Develop custom scripts, views, procedures and report information to meet Trust requirements. Safeguard the security and confidentiality of personal data by ensuring the appropriate access, security and backup of information systems, as necessary to preserve the integrity of data and other files. Develop a working knowledge of the Trust data warehouse in order to facilitate the provision of data. Make informed judgements across a range of options based on available data, this may include analysing bugs and resolving issues. About us The company is the UK's leading heart and lung hospital, delivering care to more than 50,000 patients a year in its new state of the art hospital in Cambridge. We perform the most heart and/or lung transplants in the UK and carried out the UK's first successful heart transplant in 1979. It also offers emergency heart attack treatment, sleep centre care and is one of just five centres nationally for those in severe respiratory failure. Based at the Cambridge Biomedical Campus - the largest centre of medical research and health science in Europe - the Trust is at the heart of treatments of the future. Royal Papworth became the first hospital trust in the country to be rated outstanding in all five areas assessed by the Care Quality Commission - a rating it still holds today. The Trust holds its values of compassion, excellence & collaboration at its core, and all colleagues joining the team are expected to uphold these in their day to day roles & interactions. Royal Papworth is proud of its diverse workforce and encourages people to embrace their individuality. The Trust values difference and welcomes all applications irrespective of age, disability, gender reassignment, marriage and civil partnership, pregnancy & maternity, race, religion & belief, sex and sexual orientation. Providing they meet the minimum post criteria, applicants with disabilities will be offered an interview. Job description On this page you will find a Role Profile which provides information about the hospital and full details about the role. We recommend that you review this and refer to it as you complete your application. Please include how you will meet the Trust Values Compassion, Excellence and Collaboration. If you would like more information about the role or working at Royal Papworth Hospital, please get in touch with the contact for this role. Person specification Qualifications BSc Degree in Computing or a numerate discipline or relevant experience Evidence of continuing professional development Experience SQL, T-SQL, C#, Visual Studio APIs Relevant coding experience Working understanding of data structures Additional Criteria As well as being able to demonstrate examples of how they work in a way that is consistent with our values of compassion, excellence and collaboration the successful candidate will be able to clearly demonstrate a commitment to driving culture change through equality, diversity and inclusion. Payment and contract details Pay scheme: Agenda for Change Band: Band 7 Salary: £49,387.00 to £56,515.00 Yearly Contract: Permanent Working pattern: Full Time Reference number: IT1673 Job location: Royal Papworth Hospital, Papworth Road, Cambridge Bio Medical Campus, Cambridge, CB2 0AY Contact David Wilcox

Summary We're seeking a seasoned DevOps Engineer with a deep understanding of AWS to maintain and optimize our cloud infrastructure. You will play a pivotal role in ensuring our systems run smoothly, support project deployments, and proactively identify ways to reduce cloud costs. The ideal candidate is a hands on problem solver with extensive experience in AWS environments, a passion for automation and efficiency, and a collaborative spirit to assist developers in navigating deployment challenges. Key Responsibilities Design, implement, and manage AWS infrastructure (EC2, ECS, Fargate, S3, RDS etc.) to support development, testing, and production environments. Monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement automation tools and processes to streamline infrastructure provisioning and management. Work closely with development teams to support project deployments and CI/CD pipelines (TeamCity, Octopus Deploy, BitBucket). Continuously evaluate and optimize infrastructure to reduce costs and improve performance. AWS Management Expertise in AWS Control Tower and Landing Zones: Deep knowledge of Control Tower's features, best practices for landing zone design and implementation, and experience with Control Tower's automation capabilities. Security Focus: Proven experience in implementing and managing security controls within AWS, including IAM roles and policies, VPC security groups and network ACLs, Data encryption (KMS, S3), Threat detection and response (GuardDuty, Security Hub), Vulnerability management, Incident response planning, and proactive contribution to the improvement and optimization of AWS architecture. Project Support Collaborate with cross functional teams to understand project requirements and design appropriate infrastructure solutions. Participate in architecture and design reviews to ensure solutions align with best practices. Provide technical expertise and guidance to development teams during project implementation. Assist in troubleshooting and resolving issues during development and deployment. Documentation and Knowledge Sharing Create and maintain clear and concise technical documentation for infrastructure configurations and processes. Share knowledge and best practices with the team through training sessions and documentation. Stay up to date on AWS technologies and industry trends. Willingness to learn new technologies using own initiative. Out of hours maintenance Some changes will require to be performed outside of core business hours. Qualifications 5+ years of hands on experience in DevOps or a similar role, with a strong focus on AWS. Deep understanding of AWS services, including EC2, ECS, Fargate, S3, RDS and others. Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. Proficiency in scripting languages (e.g., Python, Bash) and automation tools (e.g., Ansible). Strong understanding of CI/CD pipelines focusing on tools like Teamcity and Octopus Deploy. Demonstrated ability to identify and implement cost saving measures in AWS environments. Excellent communication and collaboration skills, with a proven ability to work effectively with development teams. Experience with Microsoft technologies (C#, .netcore, .netframework). Linux / Unix experience required. Preferred Qualifications AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with containerization technologies like Docker and Kubernetes. Familiarity with observability platforms, monitoring and logging tools (e.g., CloudWatch, DataDog). Experience working in an agile development environment. KPIs 90%+ SLA success rate on Incident resolution. 95%+ SLA success rate on Patch deployment. 95%+ Change success rate. Control of AWS cloud costs. Benefits Competitive salary and benefits package. Opportunity to work with cutting edge technologies and make a significant impact. Collaborative and supportive work environment. Electric vehicle leasing scheme. Company performance related bonus.

Job Req Id: Location(s): London, England, United Kingdom Job Type: Hybrid Posted: May 07, 2026 Job Overview Engineer the future of global finance. At the company, our Tech team doesn't just support finance-we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with the company Tech. Back-End Microservices Development Java, Spring Framework Mobile Development iOS: Swift, Xcode, MVC Architecture Android: Android Studio, JavaScript, CSS, AJAX, Java Web Services Front-End Web Development React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents Tools GitHub Copilot with various models, the company Squad (automated code reviews), Devin.AI (Agentic Code generation), Prompt Engineering, Workflow Design, GenAI Optimization, Stylus Workspaces (In-house Gemini) Large Language Models (LLMs) Gemini, OpenAI, Claude, Llama, Local Models Frameworks LangChain, LlamaIndex, Hugging Face Orchestration LangGraph, Multi-Agent Systems Development Languages Java, Python FastAPI Retrieval-Augmented Generation (RAG) PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks PyTorch, TensorFlow, Fine-tuning Deployment Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics Splunk, Tableau, Adobe Analytics What you will do You will thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools. Translating business requirements into robust code, you'll ensure adherence to stringent quality standards and provide essential support through testing cycles and post-production deployment. To deliver systems at the enterprise-level that are high quality, scalable, and resilient, you will skilfully utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies vital to your success. While technologies may vary across teams, and AI tooling is rapidly evolving, developers will gain exposure to a wide range of technologies and tools across all aspects of the Software Development Life Cycle (SDLC). Gen AI Strategy & Cloud Deployment: Contributing to the adoption and deployment of cutting edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference. This includes advanced AI engineering practices to optimize model performance and reliability. Engineering Excellence (AI/MLOps): Adhering to and implementing the company's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents. Architectural Patterns (Gen AI Focus): Exploring and applying the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes. CI/CD & Gen AI Development Tools: Gaining exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI specific testing frameworks, and container orchestration platforms like OpenShift. Event Streaming & Messaging (AI Data Pipelines): Working with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real time data ingestion for Gen AI model training, fine tuning, and inference. Containerization (AI Model Deployment): Hands on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices. Global Gen AI Exposure: Work on globally scoped Generative AI projects with cross functional teams, gaining invaluable insights into how this transformative technology is reshaping the financial sector worldwide. Continuous Learning & AI Advancement: Benefit from structured learning paths, extensive networking opportunities, mentorship, and development designed to sharpen your technical prowess in Generative AI, enhance your business acumen, and cultivate your leadership skills, staying abreast of the latest advancements in AI research and technologies. This includes gaining expertise in building agents on our proprietary ARC platform. Real Impact with AI: Contribute to real world projects that shape the future of banking, from developing cutting edge Generative AI solutions and intelligent automation to strengthening cybersecurity defenses and driving data powered innovations. Who we are looking for We want to hear from you if we are actively seeking individuals with a profound passion for technology, especially Generative AI, and an unwavering drive to make a significant difference. Requirements Educational Background: Bachelor's degree in a technology related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands on experience. Problem Solving Acumen (AI driven): A proactive problem solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions. Global Mindset: Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development. Communication & Leadership: Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts. Technical Proficiency (Gen AI): Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued. Collaboration & Adaptability: Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable, especially in a fast paced environment delivering AI solutions. Ideal Candidate Are ambitious, with a relentless drive to succeed in a fast paced, dynamic environment. Are inherently curious about how Generative AI can revolutionize finance and are eager to be at the forefront of this transformation. Aspire to grow into a future Gen AI leader, combining a passion for AI with its strategic application within the global financial industry. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. the company is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at the company . View the company's EEO Policy Statement and the Know Your Rights poster.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

Intermedia Intelligent Communications is seeking a DataOps Engineer who will primarily work remotely, with occasional visits to the Bristol office or London. The ideal candidate will have 3-5 years of experience in DevOps Engineering, proficiency in Linux and Kubernetes, with a strong willingness to learn and grow in a collaborative environment. This role involves deploying applications, managing infrastructure, and engaging in the development of automation pipelines. An eagerness to adopt best practices around containerization and application performance is crucial.