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What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.Job Title: Bioinformatics Scientist/Engineer – DRAGEN ArrayLocation: UK or Germany preferredJob Type: Full-timeExperience Level: SeniorAre you passionate about developing innovative bioinformatics solutions that advance precision medicine? Do you enjoy solving complex scientific challenges through algorithm development, statistical modelling, and software engineering? Do you want to work alongside world-class scientists and engineers on technologies that have a meaningful impact on human health? If so, you could be the perfect fit for our Bioinformatics Scientist / Engineer role within the DRAGEN Array team.Position SummaryThe DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications.Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers, you will develop and implement robust bioinformatics solutions, integrating established community tools alongside novel methods. You will also contribute to software engineering best practices, including testing automation, CI/CD, observability, and software lifecycle management, helping to ensure DRAGEN Array software is reliable, scalable, and ready for production deployment across local and cloud-based environments.What You'll DoLead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.Apply statistical, computational, and machine‑learning methods to large‑scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‑grade software that automates analytical workflows and enables robust analysis at scale.Contribute to and help shape software testing automation, including unit, integration, and regression testing of bioinformatics pipelines.Define and maintain CI/CD workflows to support continuous integration, validation, and reliable delivery of DRAGEN Array software.Implement and evolve telemetry, logging, and monitoring to improve observability, diagnostics, and operational robustness.Execute and improve Software Lifecycle (SLC) practices, including requirements traceability, design documentation, verification, and validation.Use tools such as JAMA (requirements and traceability) and JIRA (planning and execution) to support structured, high‑quality software development.Collaborate closely with wet‑lab scientists, product management, and engineering teams to translate scientific needs into validated computational solutions.For staff level, provide mentorship and technical guidance to other scientists and engineers, and contribute to best practices in algorithm design, software engineering, and data analysis.Why YouYou will bring deep expertise in bioinformatics algorithm development, statistical modelling, and computational genomics, with experience developing production-quality software within scientific or commercial environments. You thrive working across multidisciplinary teams and are passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing technical leadership, influencing scientific direction, and mentoring colleagues will be highly valued.You'll also bring:PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Bioengineering, or a related fieldStrong algorithm development and statistical modelling expertiseExperience with genomic data analysis at scaleProgramming expertise in Python and/or RExperience with production software development practicesKnowledge of testing automation, CI/CD and software lifecycle processesExcellent communication and collaboration skillsWhat can you expectOur team members are bright, energetic and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. Living our values is central to how we work at Illumina. We are passionate about improving human health through genomics and believe that innovation happens when diverse perspectives come together to solve complex challenges. In this role, you will collaborate across scientific and engineering disciplines, act with integrity and accountability, and contribute to an inclusive environment where curiosity, continuous learning, and bold thinking are encouraged. We are looking for individuals who are driven by impact, committed to excellence, and excited to help shape technologies that advance research and precision medicine worldwide.The estimated base salary range for the Bioinformatics Scientist/Engineer – DRAGEN Array role based in United Kingdom is GBP 63.8 Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. This salary range applies to the primary posting location listed above. Should the level or location of the role change during the hiring process, the applicable base pay range will be updated accordingly. Compensation ranges for other locations will differ to reflect local market competitiveness and will be shared with candidates if applicable during the recruitment process. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a thoughtfully designed benefits package that supports your wellbeing, flexibility, and life beyond work—combining globally differentiated offerings with locally tailored programs. This includes support during important life moments, flexible time off, opportunities to give back, and a weeklong company-wide summer shutdown. In the UK, we also offer flexible benefits, a company contribution of 10% into your pension, and private medical insurance, alongside additional benefits to support you and your family.We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact To learn more, visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. xrnqpay This role is not eligible for visa sponsorship.SummaryLocation: England - Cambridge; Germany - Remote; Germany - Berlin; England - Hinxton; England - Remote; England - ChesterfordType: Full time

Do you want to work to make Power for Good? We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers a wide range of benefits and rewards. UK - Kings Langley or Glasgow. Spain - Albacete or Madrid. Are you ready to architect and engineer the future of data and AI at one of the world's leading renewable energy businesses? At RES, we are looking for a Senior AI Architect and Engineer Leadto set the AI architecture for RES’s data and AI platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology. Reporting to the Head of Data and Analytics, you will own the forward-looking strategic and conceptual design of our global platform. This role combines AI and solution architecture with hands-on AI engineering, and works closely with our data architects and engineers on how AI uses enterprise data. You will establish standards optimized for LLM reasoning, and coding multi-agent orchestration frameworks. You will work alongside our established Platform Operations team—who handle the day-to-day platform run, infrastructure maintenance, and legacy migrations—allowing you to serve as the ultimate technical authority for AI innovation for data and analytics. • Own Strategic AI Platform Direction: Define the target-state AI architecture, reference designs and patterns across generative AI, agents, machine learning and retrieval, aligned with the data platform and global business goals., • Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating., • Build AI services: Lead the hands-on design, coding and prototyping of AI solutions, including LLM and RAG services, agents and multi-agent workflows, and machine learning and predictive models. Set automated evaluation frameworks, non-deterministic testing standards and compliance gates., • Set Engineering Standards & Code Patterns: Provide senior technical authority in Python, SQL, advanced software engineering, and LLM orchestration to the wider team. Review production code and build reusable code repositories to ensure quality engineering solutions., • Lead future technology: Identify, evaluate and prototype emerging AI and data technologies, such as MCP servers, vector databases, knowledge graphs, small and open models, and multimodal and document AI, and bring proven ones into RES’s data and AI portfolio., • Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization., • Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI Governance Lead to ensure data privacy, access boundaries (RBAC), and prompt-injection defence mechanisms are embedded across all agents., • Influence Global Leadership: Advise senior IT executives and business leaders on complex technical priorities, helping guide investment choices around data architecture, software engineering, and AI automation., • AI engineering: Hands‑on experience building and testing AI solutions in Python and SQL, across LLMs and generative AI, RAG, agent frameworks (for example LangGraph, AutoGen, Semantic Kernel or LangChain) and machine learning. Experience taking AI into production is an advantage., • AI architecture: Experience setting AI and solution architecture, reference designs and engineering standards., • AI tooling: Experience with Azure AI Foundry, Azure OpenAI and Azure AI Search, or equivalent AI services on another enterprise cloud., • Enterprise Platform Design: 7+ years of demonstrated track record designing enterprise data architectures and data warehouses at scale to create organizational efficiency., • Strategic & Conceptual Direction: Deep experience setting architectural reference designs, modeling standards, and technical direction across modern cloud data estates., • Hands‑on AI & Software Engineering: Proven, deep experience writing clean, modular code in Python, SQL, and consuming complex REST APIs. Must have hands‑on experience building, testing, and deploying custom LLM agent frameworks (e.g., LangGraph, AutoGen, or LangChain) in production., • Modern Cloud Data Tooling: Strong technical experience with Azure data and AI ecosystems (Azure AI Foundry, Microsoft Fabric, Azure AI Search) or equivalent components on alternative enterprise cloud platforms., • Data Governance & Security Knowledge: Solid understanding of how data cataloging, lineage, and privacy compliance integrate with autonomous AI systems., • Executive Communication & Leadership: Demonstrated ability to articulate complex technical strategies, lead workshops, run steering groups, and influence senior executive stakeholders., • Exceptional Engineering Judgment: A proven track record of understanding the limitations of generative AI, demonstrating high judgment on where AI automation adds value versus where deterministic engineering must be used., • Educational Foundation: Bachelor's degree in computer science, software engineering, data analytics, or equivalent deep, hands‑on senior career experience., • MLOps and LLMOps: model deployment, monitoring and retraining., • Responsible AI frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act)., • Enterprise data architecture, data warehousing or semantic modelling (star schemas, dimensional models)., • Microsoft Fabric, Azure data services or Databricks., • A genuinely global remit: You will set the architecture and build the AI for a data platform used across a worldwide renewable energy business., • Work at the intersection where data, analytics and AI meet: Your architecture and the agents you build will drive business outcomes across the globe in renewable energy., • A modern, cloud‑first stack: Azure, Fabric, Purview, MCP servers, and significant innovation investment., • A collaborative, growing data and analytics function: Scope to shape how analytics and AI evolves for data and platforms., • Join a brand new, agile team: Be at the heart of AI, innovation, Next Gen technology, and driving competitive advantage for RES., • Agentic AI leadership: Set the blueprint for how RES builds and operates autonomous agents on our platform. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

ocadogroup# Data EngineerHatfield · REMOTEFree account · 30 seconds## About the roleData Engineer (Modelling & Transformation)| Hybrid Working | Hatfield Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.### About the RoleAs a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers .### Key ResponsibilitiesResponsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs. Develop and maintain reusable data transformation logic using modern software engineering best practices. Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability. Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets. Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience. Participate in code reviews and actively contribute to continuous improvements in team engineering standards. Produce clear documentation and foster knowledge sharing across the data engineering craft. What We're Looking For: Essential Proven### experiencedeveloping ELT/ETL pipelines and working with data transformation frameworks such as dbt. Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. Hands-on### experienceusing Git and CI/CD workflows. Strong analytical, problem-solving, and clear communication skills with a collaborative mindset. Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical### experience. Solid understanding of core data concepts, including data storage, transformation, and analysis. Nice to Haves Practical### experiencewriting Python for data engineering workloads .### Experienceworking with modern cloud data warehouses, ideally Google BigQuery. Practical understanding of dimensional data modelling principles .### Experienceusing tools in our tech stack such as Airflow, Terraform, or Grafana. Previous### experienceworking within Agile delivery teams .### BenefitsWe believe in supporting our people with meaningful, flexible### benefitsthat prioritise well-being and work-life balance. Here's a snapshot of what you can expect: Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world. Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance. Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets. Commuter### perksCycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations. Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive### work environment. If you have any support or access### requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-JT1 Find more English Speaking Jobs in United Kingdom on Arbeitnow## Skills this role needsNot yet in DeepCamp: digital\therapeutics talent\ai\_tools #J-18808-Ljbffr

Senior Data Engineer (Data Modelling)UK Remote-First (occasional travel to parks, head office and team events)Permanent | Full TimeCompetitive salary + bonus and benefitsAbout the roleDo you think in facts and dimensions? Are you the kind of engineer who gets a genuine kick out of designing a clean, well-structured data model - one that turns messy source data into something the whole business can trust and use? If that sounds like you, we want to hear from you!At Haven, great holidays are powered by great data - and behind every dashboard, forecast and guest insight sits a data model that someone thought carefully about. That someone could be you. As a Senior Data Engineer Data Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day.But the best models don't start in dbt - they start with a conversation. The part of this role that matters most is your ability to sit with the business, understand how guests, bookings, parks and revenue actually work, and translate that real-world process into a clear, domain-aligned dimensional model. It's the rarest and most valuable skill in modelling, and it's the one we care about most.From there, you'll spend your time designing and evolving Kimball-style models, building elegant transformations in dbt, and shaping the way our business understands its guests and operations. Working within a supportive squad, you'll set the standard for modelling quality through your own work, share what you know with fellow engineers, and continue to grow your craft in a collaborative, remote-first environment where curiosity is celebrated.This is a hands-on, deeply technical role for a data modeller who cares about data quality, clarity and craft - and who wants their work to make a tangible difference to millions of guest experiences every year.Your OpportunityTranslate business process into models. Sit with the business to understand how guests, bookings, revenue and operations really work - then translate that process into intuitive, domain-aligned dimensional models that stand the test of time.Model with Kimball methodology. Design, build and evolve dimensional data models, getting the grain right first and building for the way the business will grow.Build the dbt layer. Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth.Champion quality. Make data quality, testing and documentation first-class parts of the modelling craft.Set the standard. Share your modelling patterns, techniques and thinking with fellow engineers, setting the standard through the quality of your own work.Shape the trade-offs. Bring a strong, well-reasoned point of view on modelling trade-offs into product and engineering conversations.Communicate clearly. Explain your design decisions to both technical and nontechnical audiences, so the whole business understands the model it relies on.What we'd like you to bring# EssentialDeep dimensional modelling experience. Several years of hands-on Kimball modelling on production warehouses that a business genuinely relies on - this is the heart of the role.Business-to-model translation. A real feel for turning business process into a data model: talking to stakeholders, uncovering the true grain, and shaping a domain that makes sense to the people who use it.Strong SQL and dbt. Deep, practical experience with dbt as your modelling toolkit.The instincts of an experienced modeller. You know when to reach for a conformed dimension, how to handle slowly-changing dimensions and late-arriving facts, why grain declaration comes first, and how a bus matrix keeps a warehouse coherent as it grows.A genuine passion for the craft. Clean design, sensible grain, thoughtful naming, and models that stand up to real-world use.# # Nice to have Working knowledge of Snowflake (our cloud data platform), and comfort with scheduling and orchestration tools such as Airflow. Familiarity with testing TDD, DevOps and CI/CD as applied to analytics engineering workflows. Confident use of Python where it supports the modelling work, and comfort managing your own local development environment. An eye for using AI coding tools thoughtfully - to accelerate delivery without ever compromising quality.# # And whoever you are, we'd love you to bring Excellent personal time management and self-direction - essential for thriving in a remote-first setup. A curious, collaborative, detail-oriented mindset with a strong desire to share and contribute across squads and cross-functional teams.You'll be part of a forward-thinking data community where craft matters, curiosity is celebrated, and the models you build will directly shape holidays enjoyed by millions of guests every year.Why Haven?At Haven, we're one great team, united by our passion for creating amazing experiences for our guests and our people. You'll have access to training, mentoring, and opportunities to grow your career in a supportive, forward-thinking environment.What's In It For You?25 Days Holiday + Bank Holidays + Holiday Buy SchemeAnnual bonus20% discount on both Haven and Warner Hotels holidays for you, family and friendsComprehensive wellbeing supportExclusive discounts with corporate partnersExciting career pathways, including Learning and Development opportunities such as Apprenticeships and DegreesEnhanced family friendly policies and pay (eligibility criteria applied)Who are we?We're part of an award-winning Bourne Leisure family, which includes Haven & Warner Hotels. We have 9,000 fantastic team members and 39 beautiful seaside locations, and our head office is based in Hemel Hempstead.What's it like to work with us?Working with us is ultimately defined by our exceptional people and teams. At Haven, we take pride in our Breath of Fresh Air culture, which focuses on valuing and supporting every team member. We prioritise openness and transparency in our interactions, allowing our team members to be their authentic selves.This is a remote-first role. You'll do your best modelling work wherever you focus best, coming together with the team on Park, at Head Office or at events when it adds the most value - typically a few times a month rather than every week.What can you expect during the recruitment process?The interview process will be up to 3 stages and may contain a presentation or skills test, depending on the role. If you require any support or reasonable adjustments to help you perform at your best during this process, please let us know.Diversity, equity, and inclusion are at the heart of who we are and what we do. Our commitment to these values is unwavering and they are central to our mission. We encourage applications from all backgrounds, communities and industries and we are happy to discuss any reasonable adjustments or flexibility that you may require, including whether a role can be part-time or a job-share.We genuinely care about every candidate's experience during the recruitment process and are here to provide support where we can. If you require any assistance or reasonable adjustments while applying, please don't hesitate to reach out to us at resourcin.What We Offer- Holiday allowance that rises with service, plus a ‘Holiday Buy Scheme’- Annual bonus- 20% discount on both Haven and Warner Hotels holiday for you, family and friends- Comprehensive wellbeing support- Access to the Bourne Leisure corporate box at the O2 Arena ,London- Exclusive discounts with corporate partners- Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees- Enhanced family friendly policies and pay (eligibility criteria applied)How to Apply We’re committed to fostering a diverse, equitable, and inclusive workplace, and we encourage applicants of all backgrounds to apply. To get started, click apply now and answer a few quick questions, which should take 5 minutes. Once submitted, a member of our team will be in touch. #J-18808-Ljbffr

Develop high quality, secure, and maintainable features for the client Digital Onboarding Service using Python on the backend in a serverless and containerized architecture with a NextJS/React client frontend.Design, develop, and maintain scalable RESTful APIs and microservices using Python framewor

The role This is a unique opportunity to leverage your silicon design skills on cutting-edge technology. At Imagination Technologies, innovation is at the heart of everything we do. We create foundational building blocks for market-leading Graphics Processors, powering the next generation of mobile, smart, and connected technologies. As a Staff GPU HW Design Engineer, you’ll play a crucial role in designing, debugging, and optimising complex hardware modules to achieve superior performance, efficiency, and reliability. • Collaborate with design, verification, and validation teams to develop advanced silicon solutions., • Prepare detailed microarchitecture design specifications and execution plans aligned with project goals., • Perform in-depth analysis and optimization of complex circuits, balancing frequency speed, area, power, and performance., • Participate in design reviews, providing insightful recommendations for improvement., • Maintain and enhance the design environment while tracking and resolving design bugs., • Mentor and support graduate engineers and early-career team members, helping them navigate design challenges and learn industry best practices., • Foster a culture of learning by contributing to training programs, knowledge-sharing sessions, and technical guidance for junior team members., • Leverage the latest techniques, tools, and technologies in silicon design., • Plan, schedule, and complete assigned tasks within deadlines., • Contribute to open discussions, present technical findings effectively and regularly communicate with cross-functional team members., • Solid knowledge of digital integrated circuit design techniques and methodologies., • Hands-on experience in RTL design at IP or SoC level using SystemVerilog., • Proficiency in optimizing circuit designs and balancing key trade-offs for performance metrics., • Expertise in ASIC or FPGA design tools and environments., • Exposure to formal proof methodology for capturing design intent., • Strong analytical skills, responsibility, and problem-solving capabilities., • Knowledge of CPU, DSP, or FPU architectures and debugging/testing strategies., • Hands-on experience with ASIC, FPGA, and physical design tools (P&R)., • Proficiency C, SystemC, C++, Python, Perl, or TCL., • Knowledge of place and route methodologies., • Understanding of verification requirements through specification analysis., • Experience in GPU/CPU design and associated methodologies such as UVM., • Strong communication skills, both written and spoken, in English. Imagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time-to-market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces. We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before. So come join us if you're wanting that something more If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email . #J-18808-Ljbffr

Spreadex has been operating for 25 years as a sports and financial spread betting provider. The business expanded to offer fixed odds betting in 2010 and CFD trading in 2017. Spreadex is the only global operator to offer all these services under one brand. Spreadex has been operating for 25 years as a sports and financial spread betting provider. The business expanded to offer fixed odds betting in 2010 and CFD trading in 2017. Spreadex is the only global operator to offer all these services under one brand. After 25 years of sustained profits, we’re now looking to take the next step and materially grow the business in the next 5 years on both the sports and financials side. Our ambitious plans are being supported by a material increase in our Marketing Budget and our expansion into Denmark. This opening provides the successful candidate with the opportunity to join a growing team in a vibrant office based in St Albans, just outside London. The role will be a mix of working from the office and working from home. Our office is based in St Albans, Hertfordshire with a fast and simple commute from London and the surrounding area. • 20 minutes from London St Pancras/Kings Cross by direct train, • Regular services also run from Farringdon, City Thameslink, and Blackfriars, • Easy access from the M1, A1(M), and M25 We're looking for a talented Platform Engineer to join our Platform Team at Spreadex. You will be responsible for building and operating the platform that underpins our award-winning trading platforms, alongside the tools and services that support the efficient workflows of our Software Engineers, allowing them to develop, build, test and deploy applications. We embrace the opportunities enabled by AI and are looking to improve our tools and processes to better utilise and support our developers and AI agents. The Platform Team play a central role in designing and developing these tools. We use a diverse range of technologies to operate the platform — AWS, Linux, Kubernetes, Kafka, Redis/Valkey, HAProxy, Consul, Grafana, OpenSearch, Terraform and more. We also use a wide range of development tools/languages — C#/.NET, Node.js, Python, Azure DevOps Pipelines, ArgoCD • Experience in a software engineering role (ideally C#/.NET, but also Python, Node.js, Powershell or Bash), • Experience with cloud (ideally AWS) and infrastructure as code (ideally Terraform), • Strong communication skills, • Hands-on experience of AI tools and knowledge of AI practices, • Experience with Kubernetes and related technologies (Linux/Docker), • Knowledge of observability and monitoring tools, • Understanding of security principles and best practices, • An enthusiasm to learn different technologies and adapt to an evolving industry, • Competitive salary and bonus scheme, • Hybrid working - 3 days per week working from home (2 days for the first 6 months), • 2 weeks fully remote per year, • 25 days holiday, rising to 30 after 2 years, • Great work-life balance, • Contributory pension scheme, • Private medical insurance scheme Spreadex has been a trusted name in sports and financial spread betting for over 25 years. Since expanding into fixed odds betting in 2010 and CFD trading in 2017, we remain the only global operator to offer all these services under a single brand. Following a quarter-century of sustained profitability, we’re entering an exciting new phase of growth across both our sports and financial divisions. This ambitious expansion is backed by a significant increase in our marketing investment and the recent acquisition of Sporting Index. #J-18808-Ljbffr

Hemel Hempstead | Hybrid, 3 days per week onsite (flexibility available) Here at Burns Sheehan, we're partnering with a highly reputable, PE-backed business that is investing in its data platform and looking to hire an experienced Data Engineer to join a small, highly capable team. The business has already built a strong modern data foundation, with Snowflake at its core, AI-assisted development embedded into its workflows, and a growing suite of internal data applications supporting key business functions. With exciting projects ahead spanning predictive forecasting, dynamic pricing, workforce optimisation and customer analytics, this is a great opportunity for an engineer who wants genuine ownership and the chance to influence technical decisions. • Designing, building and optimising robust data pipelines across AWS and Snowflake., • Developing reliable, well-tested data models with a strong focus on accuracy, reconciliation and governance., • Taking ownership of engineering solutions, from initial design through to delivery., • Working closely with business stakeholders, challenging requirements and proposing better technical solutions., • Contributing to architectural decisions and presenting technical trade-offs to senior leadership., • Exploring AI-assisted development and emerging Snowflake capabilities, including Cortex., • Strong commercial experience with AWS, Snowflake, dbt, SQL and Python., • Proven experience building and maintaining production-grade data pipelines., • Strong understanding of data quality, testing and reconciliation., • Ability to work independently and take ownership in a lean engineering environment., • Confident stakeholder communication and a pragmatic, problem-solving mindset., • An interest in AI-assisted engineering and modern data tooling. This is an opportunity to join a business where you'll have a real say in how the data platform evolves, working on projects directly linked to commercial performance rather than simply maintaining existing pipelines. Applicants must already have the right to work in the UK. Visa sponsorship is not available. #J-18808-Ljbffr

Cognizant is seeking a skilled backend engineer to develop secure, scalable features for its Digital Onboarding Service. You will work in a serverless and containerized AWS environment, building RESTful APIs and microservices with Python frameworks such as FastAPI or Flask. You will collaborate with cross-functional teams to translate business requirements into robust technical solutions, implement integration patterns, and contribute to code quality, testing, and DevOps practices in an Agile #J-18808-Ljbffr

Do you want to work to make Power for Good? We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers a wide range of benefits and rewards. Locations: UK - Kings Langley or Glasgow. Spain - Albacete or Madrid. Are you ready to architect and engineer the future of data and AI at one of the world's leading renewable energy businesses? At RES, we are looking for a Senior AI Architect and Engineer Lead to set the AI architecture for RES’s data and AI platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology. Reporting to the Head of Data and Analytics, you will own the forward-looking strategic and conceptual design of our global platform. This role combines AI and solution architecture with hands-on AI engineering, and works closely with our data architects and engineers on how AI uses enterprise data. You will establish standards optimized for LLM reasoning, and coding multi-agent orchestration frameworks. You will work alongside our established Platform Operations team—who handle the day-to-day platform run, infrastructure maintenance, and legacy migrations—allowing you to serve as the ultimate technical authority for AI innovation for data and analytics. • Own Strategic AI Platform Direction: Define the target-state AI architecture, reference designs and patterns across generative AI, agents, machine learning and retrieval, aligned with the data platform and global business goals., • Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating., • Build AI services: Lead the hands-on design, coding and prototyping of AI solutions, including LLM and RAG services, agents and multi-agent workflows, and machine learning and predictive models. Set automated evaluation frameworks, non-deterministic testing standards and compliance gates., • Set Engineering Standards & Code Patterns: Provide senior technical authority in Python, SQL, advanced software engineering, and LLM orchestration to the wider team. Review production code and build reusable code repositories to ensure quality engineering solutions., • Lead future technology: Identify, evaluate and prototype emerging AI and data technologies, such as MCP servers, vector databases, knowledge graphs, small and open models, and multimodal and document AI, and bring proven ones into RES’s data and AI portfolio., • Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization., • Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI Governance Lead to ensure data privacy, access boundaries (RBAC), and prompt-injection defence mechanisms are embedded across all agents., • Influence Global Leadership: Advise senior IT executives and business leaders on complex technical priorities, helping guide investment choices around data architecture, software engineering, and AI automation., • AI engineering: Hands-on experience building and testing AI solutions in Python and SQL, across LLMs and generative AI, RAG, agent frameworks (for example LangGraph, AutoGen, Semantic Kernel or LangChain) and machine learning. Experience taking AI into production is an advantage., • AI architecture: Experience setting AI and solution architecture, reference designs and engineering standards., • AI tooling: Experience with Azure AI Foundry, Azure OpenAI and Azure AI Search, or equivalent AI services on another enterprise cloud., • Enterprise Platform Design: 7+ years of demonstrated track record designing enterprise data architectures and data warehouses at scale to create organizational efficiency., • Strategic & Conceptual Direction: Deep experience setting architectural reference designs, modeling standards, and technical direction across modern cloud data estates., • Hands-on AI & Software Engineering: Proven, deep experience writing clean, modular code in Python, SQL, and consuming complex REST APIs. Must have hands-on experience building, testing, and deploying custom LLM agent frameworks (e.g., LangGraph, AutoGen, or LangChain) in production., • Modern Cloud Data Tooling: Strong technical experience with Azure data and AI ecosystems (Azure AI Foundry, Microsoft Fabric, Azure AI Search) or equivalent components on alternative enterprise cloud platforms., • Data Governance & Security Knowledge: Solid understanding of how data cataloging, lineage, and privacy compliance integrate with autonomous AI systems., • Executive Communication & Leadership: Demonstrated ability to articulate complex technical strategies, lead workshops, run steering groups, and influence senior executive stakeholders., • Exceptional Engineering Judgment: A proven track record of understanding the limitations of generative AI, demonstrating high judgment on where AI automation adds value versus where deterministic engineering must be used., • Educational Foundation: Bachelor's degree in computer science, software engineering, data analytics, or equivalent deep, hands‑on senior career experience., • MLOps and LLMOps: model deployment, monitoring and retraining., • Responsible AI frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act)., • Enterprise data architecture, data warehousing or semantic modelling (star schemas, dimensional models)., • Microsoft Fabric, Azure data services or Databricks., • A genuinely global remit: You will set the architecture and build the AI for a data platform used across a worldwide renewable energy business., • Work at the intersection where data, analytics and AI meet: Your architecture and the agents you build will drive business outcomes across the globe in renewable energy., • A modern, cloud-first stack: Azure, Fabric, Purview, MCP servers, and significant innovation investment., • A collaborative, growing data and analytics function: Scope to shape how analytics and AI evolves for data and platforms., • Join a brand new, agile team: Be at the heart of AI, innovation, Next Gen technology, and driving competitive advantage for RES., • Agentic AI leadership: Set the blueprint for how RES builds and operates autonomous agents on our platform. #J-18808-Ljbffr

Data Engineer (Modelling & Transformation)| Hybrid Working | Hatfield We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs. must have Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability. must have • Python Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. must have, • SQL Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. must have, • dbt Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt. must have, • Warehousing As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology ., • Cost & performance Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs ., • Machine learning As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology . not practised here, • Airflow / orchestration Experience using tools in our tech stack such as Airflow, Terraform, or Grafana . Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability . • GCP Experience working with modern cloud data warehouses, ideally Google BigQuery . not practised here, • Terraform Experience using tools in our tech stack such as Airflow, Terraform, or Grafana . not practised here #J-18808-Ljbffr

Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting‑edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. About the Role: As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision‑making across the entire organisation. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: • Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products., • Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions., • Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs., • Develop and maintain reusable data transformation logic using modern software engineering best practices., • Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability., • Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets., • Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience., • Participate in code reviews and actively contribute to continuous improvements in team engineering standards., • Produce clear documentation and foster knowledge sharing across the data engineering craft. What We’re Looking For: • Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt., • Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages., • Hands-on experience using Git and CI/CD workflows., • Strong analytical, problem-solving, and clear communication skills with a collaborative mindset., • Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience., • Solid understanding of core data concepts, including data storage, transformation, and analysis. Nice to Haves • Practical experience writing Python for data engineering workloads., • Experience working with modern cloud data warehouses, ideally Google BigQuery., • Practical understanding of dimensional data modelling principles., • Experience using tools in our tech stack such as Airflow, Terraform, or Grafana., • Previous experience working within Agile delivery teams. We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here's a snapshot of what you can expect: • 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world., • Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave, • Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest‑free loans for train tickets., • Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier‑free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-JT1 Can't find what you're looking for or not ready for a move? Join our Talent Community to stay up to date with Ocado Group news and events, you'll also be the first to know about new opportunities - before they are posted. #J-18808-Ljbffr

The Gearbox Test Engineer is responsible for the development, validation, and reliability testing of Formula 1 transmission systems within a factory environment. This role focuses on dyno testing, rig development, and data-driven engineering to ensure gearbox performance and durability meet the extreme demands of Formula 1 competition. Working closely with design and performance groups, the engineer will lead structured test programs to validate new designs, investigate failures, and drive continuous performance improvements-all without trackside responsibilities. • Plan, develop, and execute rigorous test programs for gearbox systems, including full transmission dyno testing, sub-system and component-level validation, and endurance and accelerated life testing., • Define test procedures, instrumentation requirements, and acceptance criteria., • Operate and support advanced test rigs simulating real-world race duty cycles., • Analyze high-resolution test data to assess gear durability, fatigue life, friction losses, efficiency, thermal performance, and oil system behavior., • Correlate test data with simulation models and historical track data., • Produce clear engineering reports with recommendations for design and performance improvements., • Lead root cause analysis of gearbox and component failures., • Work with materials, design, and manufacturing teams to implement corrective actions., • Maintain failure databases and support reliability growth programs., • Support the specification, development, and commissioning of new test rigs and instrumentation systems., • Improve existing test capabilities, automation, and data acquisition processes., • Ensure test systems replicate real-world operating conditions as accurately as possible., • Work closely with design engineering teams to validate new gearbox concepts and updates., • Provide feedback on gear design, materials, coatings, and lubrication strategies., • Support validation of simulation tools and models used for gearbox performance prediction., • Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, a related discipline or equivalent experience., • 3+ years in mechanical testing with motorsport, automotive, or aerospace experience preferred., • Strong understanding of:, • Gear systems, tribology, and lubrication., • Fatigue, wear mechanisms, and material behavior., • Thermal and mechanical loading in high-speed rotating systems., • Experience with test rig operation and instrumentation including torque, speed, strain, and temperature measurements, • Proficiency in data analysis tools (MATLAB, Python, or similar)., • Familiarity with DAQ systems and automated test environments., • Understanding of simulation correlation (FEA, multibody, or drivetrain models) is beneficial., • Strong analytical thinking and problem-solving skills., • Detail-oriented with a structured engineering approach., • Effective communicator across cross-functional teams., • Ability to manage multiple test programs simultaneously in a fast-paced environment., • Experience with transmission systems, rotating machinery, or powertrain components preferred., • Experience in a high-performance or R&D testing environment is highly desirable., • Primarily factory-based role with no routine travel required., • Hands-on involvement with test rigs and mechanical systems., • May require flexible hours to support intensive test programs., • Test program delivery (timing, quality, and completeness)., • Correlation accuracy between test data and simulation., • Reduction in gearbox failure rates and reliability issues., • Contribution to performance improvements (efficiency, durability, weight). Ready to be part of a team that pushes boundaries both on and off the track? At GM Performance Power Units, we are developing a new era of performance for the Formula 1 grid. Joining us means entering a startup racing environment backed by a legacy of engineering excellence, giving you the rare opportunity to help build a world‑class program from day one. We believe in rewarding innovation and powering … • Bonus scheme, • Private healthcare, • 401(k) plan including company match, • Employer-paid life insurance and disability coverage #J-18808-Ljbffr

Join us at Just Eat Takeaway.com, a leading global online delivery platform where our mission is to empower everyday convenience! Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. As a Data Security Specialist in JET's Security Architecture & Engineering function, you will play a crucial role in embedding data protection into our design and operations. Your mission? To engineer the controls that safeguard our most sensitive data across cloud-native and enterprise environments. You'll translate architectural data security standards into scalable implementations, from DLP platforms to encryption pipelines, ensuring that Privacy and Security by Design are integral to our engineering delivery. Working at the intersection of data security engineering and automation, you'll turn continuous insights into automated guardrails, enhancing our automated data defense and delivering continuous compliance. Your approach will foster frictionless security workflows, enabling development teams to innovate safely. Together with engineering, IT, and business stakeholders, you'll cultivate a culture where security is a competitive advantage! • Oversee the deployment and daily management of Enterprise DLP and encryption solutions across various environments to protect data at rest, in transit, and in use., • Manage automated data discovery pipelines to accurately map and protect sensitive information, extending controls to AI-integrated environments., • Collaborate with the Security Architecture team to embed data protection controls and Infrastructure-as-Code (IaC) baselines into CI/CD developer workflows., • Translate data security policies into executable "Policy-as-Code" and manage the deployment of automated guardrails across cloud environments., • Streamline engineering workflows by building API integrations between security scanners and ticketing systems, utilizing intelligent automation to reduce false positives., • Guide engineering teams with automated feedback loops, clear documentation, and developer-friendly data protection tools., • Proven experience in implementing and managing data security controls in cloud-native or enterprise environments., • Strong automation and scripting skills (Python & Bash/Shell) to translate security goals into working code., • A track record of translating governance policies into automated remediation workflows and CI/CD security gates., • Practical understanding of AI/ML data security risks and experience using AI tools for automation., • A collaborative approach to build trusted partnerships across teams, acting as an enabler rather than a blocker., • Ability to evaluate complex data flows and translate security findings into clear, actionable insights., • Solid understanding of data privacy regulations (e.g., GDPR) and a strong ethical foundation for handling sensitive data. Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy; it's about winning our customers' choice every time they decide where to order. At the heart of the JET Customer League are our values and behaviors, guiding every interaction and innovation. By living our values, we build a customer-first culture that keeps us ahead of the competition. Fun, fast-paced, and supportive, the JET culture is all about growth, helping one another succeed, and celebrating wins! No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We're committed to fostering an inclusive culture that encourages diversity of thought and allows all employees to bring their authentic selves to work every day. Want to know more about our JETers, culture, or company? Explore our platform where you can find stories, blogs, podcasts, and more about JET journeys. #J-18808-Ljbffr

Senior Lead - AI Engineer Description Do you want to work to make Power for Good? We’re the world’s largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we’re tackling some of the world’s toughest problems, we need the very best people to help us. They’re our most important asset so that’s why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they’re at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers a wide range of benefits and rewards. Locations: UK - Kings Langley or Glasgow. Spain - Albacete or Madrid. Summary / Purpose of the Role Are you ready to engineer the future of AI at one of the world’s leading renewable energy businesses? At RES, we are looking for a Senior AI Engineer to design, build and run the LLM and agent services on our global data and AI platform. This is a hands-on role: you will spend at least 70% of your time building. You will create LLM and RAG services, agents and multi-agent workflows that work over RES’s finance, construction, project, development and HR data. You will also set the AI engineering standards and patterns the rest of the team uses. Reporting to the Head of Data and AI Analytics, you will work closely with our data engineers, modellers and analysts on how AI uses enterprise data. Our Platform Operations team handles day-to-day platform running and infrastructure, so you can focus on building AI. Example use cases • Agents that answer questions over finance, construction and project data in Microsoft Fabric, • Document AI for contracts, project documents and reports, • AI assistants built into Power BI reporting and business workflows Key Accountabilities • Build AI services: Design, code and deploy LLM and RAG services, agents and multi-agent workflows, from prototype to production., • Evaluation and testing: Set up automated evaluation, testing for non-deterministic outputs, and quality gates before release., • AI architecture and patterns: Define reference designs and reusable patterns for generative AI, agents and retrieval, aligned with our data platform standards., • Data for AI: Work with our modellers and engineers so enterprise data is structured for AI agents to search, retrieve and reason over reliably., • Engineering standards: Set coding standards for Python and LLM orchestration, review code, and build reusable code repositories for the team., • Cost efficiency: Design for efficient token use, semantic caching and compute cost control., • Security by design: Work with Cyber Security and the Data and AI Governance Lead to build access controls (RBAC), data privacy and prompt-injection defences into all agents., • New technology: Evaluate and prototype emerging AI technologies, such as MCP servers, vector databases, knowledge graphs, small and open models, and multimodal AI, and bring proven ones into use., • Coaching and advice: Coach team members and graduates on AI engineering, and advise stakeholders on AI options and trade-offs. Experience Required • LLM and AI engineering: Hands-on experience building LLM solutions in Python, including RAG and agent frameworks (for example LangGraph, LangChain, Semantic Kernel or AutoGen). Experience taking AI into production is an advantage., • Software engineering: Clean, modular, tested code in Python and SQL; building and consuming REST APIs; version control and CI/CD., • AI cloud services: Experience with Azure AI Foundry, Azure OpenAI and Azure AI Search, or equivalent services on another enterprise cloud., • LLM evaluation and operations: Testing, monitoring and improving LLM quality, latency and cost., • AI security: Understanding of security for LLM and agent systems, including prompt injection, data access and guardrails., • Engineering judgement: Understanding of the limits of generative AI, and good judgement on when to use AI and when to use deterministic code or rules., • Communication: Able to explain technical options clearly, run workshops and work with business stakeholders., • Education: Bachelor’s degree in computer science, software engineering, data science or a related field, or equivalent hands-on experience. Desirable • Machine learning and MLOps: model deployment, monitoring and retraining, • Microsoft Fabric, Power BI or Databricks, • Knowledge graphs or semantic models, • Responsible AI frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act) Why RES? • A global remit: Build AI used across a worldwide renewable energy business., • Real impact: The agents you build will support business decisions across renewable energy projects worldwide., • A modern, cloud-first stack: Azure, Microsoft Fabric, Purview, MCP servers and significant innovation investment., • A collaborative, growing team: Join an experienced data and AI function with scope to shape how AI develops at RES., • Agentic AI: Set the blueprint for how RES builds and runs AI agents. #J-18808-Ljbffr

Spreadex has been operating for 25 years as a sports and financial spread betting provider. The business expanded to offer fixed odds betting in 2010 and CFD trading in 2017. Spreadex is the only global operator to offer all these services under one brand. After 25 years of sustained profits, we’re now looking to take the next step and materially grow the business in the next 5 years on both the sports and financials side. Our ambitious plans are being supported by a material increase in our Marketing Budget and our expansion into Denmark. This opening provides the successful candidate with the opportunity to join a growing team in a vibrant office based in St Albans, just outside London. The role will be a mix of working from the office and working from home. Our office is based in St Albans, Hertfordshire with a fast and simple commute from London and the surrounding area: 20 minutes from London St Pancras/Kings Cross by direct train Regular services also run from Farringdon, City Thameslink, and Blackfriars Easy access from the M1, A1(M), and M25 We're looking for a talented Platform Engineer to join our Platform Team at Spreadex. You will be responsible for building and operating the platform that underpins our award-winning trading platforms, alongside the tools and services that support the efficient workflows of our Software Engineers, allowing them to develop, build, test and deploy applications. We embrace the opportunities enabled by AI and are looking to improve our tools and processes to better utilise and support our developers and AI agents. The Platform Team play a central role in designing and developing these tools. We use a diverse range of technologies to operate the platform — AWS, Linux, Kubernetes, Kafka, Redis/Valkey, HAProxy, Consul, Grafana, OpenSearch, Terraform and more. We also use a wide range of development tools/languages — C#/.NET, Node.js, Python, Azure DevOps Pipelines, ArgoCD Required: Experience in a software engineering role (ideally C#/.NET, but also Python, Node.js, Powershell or Bash) Experience with cloud (ideally AWS) and infrastructure as code (ideally Terraform) Strong communication skills Hands-on experience of AI tools and knowledge of AI practices Desirable: Experience with Kubernetes and related technologies (Linux/Docker) Knowledge of observability and monitoring tools Understanding of security principles and best practices An enthusiasm to learn different technologies and adapt to an evolving industry Competitive salary and bonus scheme Hybrid working - 3 days per week working from home (2 days for the first 6 months) 2 weeks fully remote per year 25 days holiday, rising to 30 after 2 years Great work-life balance Contributory pension scheme Private medical insurance scheme #J-18808-Ljbffr

We're on the lookout for an experienced Senior Data Engineer to join our Insights & Enablement team within Retail Media Tech at JET. This isn't just any Senior Data Engineer role; you'll be at the heart of our retail media data platform, shaping the infrastructure, pipelines, and data products that help advertisers understand, optimize, and grow their campaigns. In this dynamic position, you'll work across the full stack of modern data engineering-from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling. Collaborating closely with data scientists, analytical engineers, product managers, and ML engineers, you'll transform complex data challenges into reliable, scalable production systems. We're building exciting projects like a TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer for Tableau and Looker Studio, and agentic AI tooling for Post-Campaign Analysis. You'll have the chance to contribute to all of this! This role thrives in a highly cross-functional environment. You'll collaborate with JET's central Data & Analytics organization, Platform Engineering, and other tech teams to align on shared infrastructure standards and ensure seamless integration of retail media data products within the broader JET data ecosystem. As a senior member of the team, you won't just code; you'll help define best practices, mentor fellow engineers, and elevate the technical standards across the team. • Design and build scalable data pipelines and event streaming architectures focused on reliability and data quality., • Develop and maintain Gold Layer data marts in BigQuery using dbt Core, applying top-down/bottom-up data modeling methodologies., • Build and maintain Airflow-orchestrated ELT workflows, including attribution pipelines for campaign performance measurement., • Contribute to Retail Media event tracking infrastructure, schema governance, and data quality validation., • Support the development of a semantic layer bridging BigQuery Gold tables to downstream BI tools., • Engage in architecture discussions, identifying improvement points and shaping platform-level decisions., • Embed DataOps best practices across the team, including CI/CD, testing, and observability., • Collaborate with ML engineers and data scientists to productionize models and AI tooling., • Work cross-functionally with Data & Analytics, Platform Engineering, and other JET technology teams., • Mentor engineers and contribute to technical documentation and engineering standards., • Demonstrable senior-level experience in building and delivering data engineering solutions, including distributed systems and event-driven architectures., • Strong Python skills and solid SQL experience with BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus., • Deep expertise in data pipeline design, including ETL/ELT, schema design, and efficient storage patterns., • Hands-on experience with dbt Core and Airflow for orchestration and transformation at scale., • Solid grounding in data warehouse and data lake architecture, including dimensional modeling., • Production experience with GCP and AWS, comfortable operating across both clouds., • Familiarity with OLAP and OLTP storage systems, with a desire to build expertise in stream processing technologies., • Experience with observability tools like Grafana or Datadog, ensuring system health and monitoring., • Active engagement with AI/ML tooling, integrating AI-assisted development tools into your workflow., • A track record of contributing to design decisions and supporting the growth of colleagues., • Comfortable working in a matrixed, cross-functional environment, shaping technical decisions beyond Insights & Enablement. Welcome to Just Eat Takeaway.com, a leading global online delivery platform where our mission is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide., At JET, This Is How We PlayOur teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy; it's about winning our customers' choice every single time. Our culture is fun, fast-paced, and supportive, focused on growth and celebrating wins. By embodying our values, we're building a customer-first culture that keeps us ahead of the competition. No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We're committed to fostering an inclusive culture that encourages diversity of thought and allows all employees to bring their authentic selves to work every day. Curious to learn more about our JETers, culture, or company? Explore our platform where you can find stories, blogs, podcasts, and more insights into life at JET. #J-18808-Ljbffr

Just Eat Takeaway.com seeks a Senior Enterprise AI Engineer to own an AI improvements roadmap from prototyping to production deployments. You will design, develop, and deploy scalable AI-enabled software while leading AI projects and mentoring teammates in a fast-paced environment. You will implement MLOps/AIOps, optimize model serving and data pipelines, and collaborate with business stakeholders and data science teams. Strong cloud/Python and container experience are essential. #J-18808-Ljbffr

As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology^. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation^. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks^. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers^. • Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products^., • Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions^., • Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs^., • Develop and maintain reusable data transformation logic using modern software engineering best practices^., • Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability^., • Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets^., • Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience^., • Participate in code reviews and actively contribute to continuous improvements in team engineering standards^., • Produce clear documentation and foster knowledge sharing across the data engineering craft^., • Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt^., • Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages^., • Hands-on experience using Git and CI/CD workflows^., • Strong analytical, problem-solving, and clear communication skills with a collaborative mindset^., • Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience^., • Solid understanding of core data concepts, including data storage, transformation, and analysis^., • Practical experience writing Python for data engineering workloads^., • Experience working with modern cloud data warehouses, ideally Google BigQuery^., • Practical understanding of dimensional data modelling principles^., • Experience using tools in our tech stack such as Airflow, Terraform, or Grafana^., • Previous experience working within Agile delivery teams^. We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here's a snapshot of what you can expect: • Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world., • Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets., • Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. #J-18808-Ljbffr

As a Senior Enterprise AI Engineer, you will be responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications-from initial prototyping to production-grade deployments. • Design, develop, and deploy high-quality, scalable software solutions, focusing on AI-enabled applications and infrastructure., • Lead and participate in technical projects and deployments of AI systems., • Mentor and guide team members on best practices in AI engineering., • Implement best practices (e.g., MLOps, AIOps) to enhance products/services and processes related to AI., • Optimize existing model serving and data pipelines to meet evolving performance and security requirements., • Conduct requirements gathering sessions with business stakeholders and data science teams., • Lead functional projects or work streams focused on AI infrastructure and tooling., • Experience with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery)., • Strong programming skills, with extensive experience in Python and fluency in another language., • Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework)., • A passion for automating processes., • Familiarity with containers (Docker, Container Orchestration like Kubernetes/ECS/GKE)., • A genuine interest in and foundational experience with AI/ML concepts and technologies., • A proven track record of delivering high-quality work and driving best practices in software engineering., • Ability to work independently and solve complex problems., • Stay updated with new technologies in the AI space., • Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI., • Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph., • Experience with Agent-to-Agent (A2A) communication or coordination patterns in AI systems., • Hands-on experience leveraging AI-powered development tools like GitHub Copilot to enhance productivity., • Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. Join us at Just Eat Takeaway.com, a leading global online delivery platform dedicated to empowering everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide., At JET, This Is How We PlayOur teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. 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. At the heart of the JET Customer League are our values and behaviors, guiding every interaction, decision, and innovation. By consistently embodying these values, we aim to surpass the competition and earn our customers' loyalty time and again. Fun, fast-paced, and supportive, the JET culture is about movement, growth, and celebrating wins. By truly living our values, we're building a customer-first culture that keeps us one step ahead. Inclusion, Diversity & BelongingNo matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture that encourages diversity of thought and experience, ensuring all employees feel they truly belong and can bring their most authentic selves to work every day. What Else Is Cooking?Curious to learn more about our JETers, culture, or company? Explore our stories, blogs, podcasts, and more to get a taste of what makes us unique! #J-18808-Ljbffr

This is a unique opportunity to leverage your silicon design skills on cutting-edge technology. At Imagination Technologies, innovation is at the heart of everything we do. We create foundational building blocks for market-leading Graphics Processors, powering the next generation of mobile, smart, and connected technologies. As a Senior GPU HW Design Engineer, you’ll play a crucial role in designing, debugging, and optimising complex hardware modules to achieve superior performance, efficiency, and reliability. • Collaborate with design, verification, and validation teams to develop advanced silicon solutions., • Prepare detailed microarchitecture design specifications and execution plans aligned with project goals., • Perform in-depth analysis and optimization of complex circuits, balancing frequency speed, area, power, and performance., • Participate in design reviews, providing insightful recommendations for improvement., • Maintain and enhance the design environment while tracking and resolving design bugs., • Mentor and support graduate engineers and early-career team members, helping them navigate design challenges and learn industry best practices., • Foster a culture of learning by contributing to training programs, knowledge-sharing sessions, and technical guidance for junior team members., • Leverage the latest techniques, tools, and technologies in silicon design., • Plan, schedule, and complete assigned tasks within deadlines., • Contribute to open discussions, present technical findings effectively and regularly communicate with cross‑functional team members. Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world‑class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. • Solid knowledge of digital integrated circuit design techniques and methodologies., • Hands‑on experience in RTL design at IP or SoC level using SystemVerilog., • Proficiency in optimizing circuit designs and balancing key trade‑offs for performance metrics., • Expertise in ASIC or FPGA design tools and environments., • Exposure to formal proof methodology for capturing design intent., • Strong analytical skills, responsibility, and problem‑solving capabilities., • Knowledge of CPU, DSP, or FPU architectures and debugging/testing strategies., • Hands‑on experience with ASIC, FPGA, and physical design tools (P&R)., • Proficiency C, SystemC, C++, Python, Perl, or TCL., • Knowledge of place and route methodologies., • Understanding of verification requirements through specification analysis., • Experience in GPU/CPU design and associated methodologies such as UVM., • Strong communication skills, both written and spoken, in English. Imagination is a UK‑based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time‑to‑market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces. We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before. Bring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions. As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology. If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email . #J-18808-Ljbffr

The roleThis is a unique opportunity to leverage your silicon design skills on cutting-edge technology. Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. At Imagination Technologies, innovation is at the heart of everything we do. We create foundational building blocks for market-leading Graphics Processors, powering the next generation of mobile, smart, and connected technologies. As a Principal GPU HW Design Engineer, you’ll play a crucial role in designing, debugging, and optimising complex hardware modules to achieve superior performance, efficiency, and reliability.You will:Collaborate with design, verification, and validation teams to develop advanced silicon solutions.Prepare detailed microarchitecture design specifications and execution plans aligned with project goals.Perform in-depth analysis and optimization of complex circuits, balancing frequency speed, area, power, and performance.Participate in design reviews, providing insightful recommendations for improvement.Maintain and enhance the design environment while tracking and resolving design bugs.Mentor and support graduate engineers and early-career team members, helping them navigate design challenges and learn industry best practices.Foster a culture of learning by contributing to training programs, knowledge-sharing sessions, and technical guidance for junior team members.Leverage the latest techniques, tools, and technologies in silicon design.Plan, schedule, and complete assigned tasks within deadlines.Contribute to open discussions, present technical findings effectively and Regularly communicate with cross-functional team members.About youCommitted to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard.You'll have:Solid knowledge of digital integrated circuit design techniques and methodologies.Hands-on experience in RTL design at IP or SoC level using SystemVerilog.Proficiency in optimizing circuit designs and balancing key trade-offs for performance metrics.Expertise in ASIC or FPGA design tools and environments.Exposure to formal proof methodology for capturing design intent.Strong analytical skills, responsibility, and problem-solving capabilities.You might also have:Knowledge of CPU, DSP, or FPU architectures and debugging/testing strategies.Hands-on experience with ASIC, FPGA, and physical design tools (P&R).Proficiency C, SystemC, C++, Python, Perl, or TCL.Knowledge of place and route methodologies.Understanding of verification requirements through specification analysis.Experience in GPU/CPU design and associated methodologies such as UVM.Strong communication skills, both written and spoken, in English.Who we areImagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time-to-market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces.We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before.So come join us if you're wanting that something moreBring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions. xrnqpay As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology.Additional informationIf you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email

Platform Engineer (AWS C# or Python) St Albans / WFH to £115k.Are you an infrastructure technologist with a software engineering background?.You could be progressing your career at a highly successful technology business that develops sophisticated platforms used to analyse and trade on global spor

UK Remote-First (occasional travel to parks, head office and team events). Permanent | Full Time. Competitive salary + bonus and benefits. Do you think in facts and dimensions? Are you the kind of engineer who gets a genuine kick out of designing a clean, well-structured data model — one that turns messy source data into something the whole business can trust and use? If that sounds like you, we want to hear from you! At Haven, great holidays are powered by great data — and behind every dashboard, forecast and guest insight sits a data model that someone thought carefully about. That someone could be you. As a Senior Data Engineer (Data Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling and the semantic layer that turns raw data into a source of truth our teams rely on every day. From there, you'll spend your time designing and evolving Kimball-style models, building elegant transformations in dbt, and shaping the way our business understands its guests and operations. Working within a supportive squad, you'll set the standard for modelling quality through your own work, share what you know with fellow engineers, and continue to grow your craft in a collaborative, remote-first environment where curiosity is celebrated. • Translate business process into models. Sit with the business to understand how guests, bookings, revenue and operations really work — then translate that process into intuitive, domain-aligned dimensional models that stand the test of time., • Model with Kimball methodology., • Design, build and evolve dimensional data models, getting the grain right first and building for the way the business will grow., • Build the dbt layer. Craft the transformation and semantic layer in dbt that turns raw source data into trusted, well-documented business truth., • Champion quality. Make data quality, testing and documentation first-class parts of the modelling craft., • Set the standard. Share your modelling patterns, techniques and thinking with fellow engineers, setting the standard through the quality of your own work., • Shape the trade-offs. Bring a strong, well-reasoned point of view on modelling trade-offs into product and engineering conversations., • Communicate clearly. Explain your design decisions to both technical and nontechnical audiences, so the whole business understands the model it relies on., • Essential Deep dimensional modelling experience. Several years of hands‑on Kimball modelling on production warehouses that a business genuinely relies on — this is the heart of the role., • Business‑to‑model translation. A real feel for turning business process into a data model: talking to stakeholders, uncovering the true grain, and shaping a domain that makes sense to the people who use it., • Strong SQL and dbt. Deep, practical experience with dbt as your modelling toolkit., • The instincts of an experienced modeller. You know when to reach for a conformed dimension, how to handle slowly‑changing dimensions and late‑arriving facts, why grain declaration comes first, and how a bus matrix keeps a warehouse coherent as it grows., • A genuine passion for the craft. Clean design, sensible grain, thoughtful naming, and models that stand up to real‑world use., • Excellent personal time management and self‑direction — essential for thriving in a remote‑first setup., • A curious, collaborative, detail-oriented mindset with a strong desire to share and contribute across squads and cross‑functional teams., • Working knowledge of Snowflake (our cloud data platform), and comfort with scheduling and orchestration tools such as Airflow., • Familiarity with testing (TDD), DevOps and CI/CD as applied to analytics engineering workflows., • Confident use of Python where it supports the modelling work, and comfort managing your own local development environment., • An eye for using AI coding tools thoughtfully — to accelerate delivery without ever compromising quality. At Haven, we’re one great team, united by our passion for creating amazing experiences for our guests and our people. You'll have access to training, mentoring, and opportunities to grow your career in a supportive, forward-thinking environment. • 25 Days Holiday + Bank Holidays + Holiday Buy Scheme, • Annual bonus, • 20% discount on both Haven and Warner Hotels holidays for you, family and friends, • Comprehensive wellbeing support, • Exclusive discounts with corporate partners, • Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees, • Enhanced family friendly policies and pay (eligibility criteria applied) We’re part of an award-winning Bourne Leisure family, which includes Haven & Warner Hotels. We have 9,000 fantastic team members and 39 beautiful seaside locations, and our head office is based in Hemel Hempstead. The interview process will be up to 3 stages and may contain a presentation or skills test, depending on the role. If you require any support or reasonable adjustments to help you perform at your best during this process, please let us know. Diversity, equity, and inclusion are at the heart of who we are and what we do. Our commitment to these values is unwavering and they are central to our mission. We encourage applications from all backgrounds, communities and industries and we are happy to discuss any reasonable adjustments or flexibility that you may require, including whether a role can be part‑time or a job‑share. We genuinely care about every candidate's experience during the recruitment process and are here to provide support where we can. #J-18808-Ljbffr

Proficiency in Python and a strong understanding of software engineering principles (OO design, patterns, testing) applied to Machine Learning. Position: Senior Machine Learning Engineer. We are looking for a Senior Machine Learning Engineer to join a cross functional team, focussing on growing our

Apple is seeking an experienced CAD engineer to help automate chip design processes and optimize large-scale simulations. You will develop infrastructure and collaborate with vendors and internal teams to deploy new methodologies for high-performance chip design workflows. Candidates should have a strong background in RTL simulation, Linux/grid computing, and scripting (Python/Perl), with excellent teamwork and English proficiency to thrive in a fast-paced environment. #J-18808-Ljbffr

At Warner Hotels, we’re looking for an AWS DevOps Engineer to be responsible for the robust administration, security, and scalability of the Warner Hotels AWS environment. This role sits at the intersection of development and operations, building and maintaining the infrastructure pipelines, automating deployments, and ensuring that our cloud architecture remains cost-effective, performant, and secure. The UK’s leading provider of adult short break experiences, Warner Hotels is a collection of unique properties in great locations across the UK. All short breaks at a Warner Hotel include breakfast, dinner and specified entertainment and activities, ensuring guests make the most of their time away. Situated in stunning locations nationwide including Heythrop Park in the Cotswolds, Studley Castle in Warwickshire, Thoresby Hall in Nottinghamshire and The Runnymede on Thames, each hotel offers its own personal character that makes every Warner Hotels stay unique. The DevOps Engineer is responsible for proactively managing and scaling the AWS footprint, ensuring high availability for critical hotel-facing applications. You'll maintain robust monitoring, logging, and alerting frameworks (e.g., CloudWatch, X-Ray) to achieve target uptime metrics. as well as managing the lifecycle of AWS resources (Fargate, Lambda, RDS, VPC) using Infrastructure as Code (IaC) to ensure environment consistency. Other responsibilities include: • Design and optimize end-to-end CI/CD pipelines to support rapid, reliable, and error-free code deployments. Automate routine operational tasks and manual infrastructure provisioning to improve development velocity and reduce MTTR (Mean Time to Repair)., • Enforce security-by-design principles, including identity access management (IAM) least-privilege policies, network security groups, and encryption-at-rest. Perform regular vulnerability scanning and manage automated patching cycles to maintain a secure cloud posture. Provide technical onboarding and standards guidance for partner teams., • Continuously audit cloud usage, utilizing tools like AWS Cost Explorer and Compute Optimizer to eliminate waste and maximize ROI. Implement auto-scaling strategies and right-sizing policies to align infrastructure costs with actual business demand and transactional volume., • Act as the technical bridge between architecture and development, providing clear documentation for infrastructure standards. Participate in incident response activities, providing technical root cause analysis (RCA) for infrastructure-related outages., • Expert-level understanding of AWS core services (specifically Fargate, Lambda, S3, IAM, and Networking)., • Proficiency in Infrastructure as Code (e.g., Terraform, AWS CDK, or CloudFormation)., • Familiarity with scripting languages (Python or Bash) for automation., • Understanding of containerization (Docker) and orchestration (ECS/EKS), • Systems Thinker: Ability to visualize and manage complex interdependencies in a cloud-native environment., • Security-Minded: A "security-first" approach to all architectural and configuration decisions., • Problem-Solver: Rapidly diagnoses and resolves infrastructure-related bottlenecks or outages., • Collaborative: you will need to effectively communicate technical architectural requirements to non-technical stakeholders., • 3+ years of experience in DevOps or Cloud Engineering roles., • AWS Professional or Associate level certification (e.g., AWS Certified DevOps Engineer) preferred., • Experience working in a production environment managing high-traffic web or enterprise applications. You’ll be part of a supportive team that values creativity, collaboration, and growth. We offer a flexible hybrid working approach, with opportunities to travel across our hotel portfolio and connect at our Hemel Hempstead hub. Here, your ideas will shape learning experiences that make a lasting difference for our people and our guests #J-18808-Ljbffr

Burns Sheehan Limited in Hemel Hempstead is seeking a talented Junior Data Engineer to join a small, experienced data team.You will own and develop data pipelines using a modern cloud stack, with opportunities to grow your engineering skills and contribute to business decisions.The role focuses on b

A leading provider of analytical solutions is seeking a Senior Python Software Engineer with a strong mathematical background. The ideal candidate will design and develop advanced Python-based modules for optimization and analytics, work with modern technologies including SciPy and Pandas, and colla

A leading technology startup is seeking a Back-End Engineer in London to build and maintain backend services using FastAPI and Python. This role requires strong skills in developing web applications, alongside a passion for engineering and functional programming.

This is a hands‑on, backend software engineer position reporting directly to our Head of Technology. Python development experience in a professional setting. Solid experience with FastAPI (or similar Python frameworks).

Ro is seeking a Senior Software Engineer for the Patient Experience team in the UK.

A carbon positive tech recruitment firm is seeking Senior Data Scientists/Data Engineers to work on large Defence and Government projects, requiring DV or SC clearance. The role entails utilizing technical skills in Python, Deep Learning, and data manipulation to lead exciting programs in a rapidly

Vallum Associates in the United Kingdom is seeking a software engineer to design and build scalable applications using Python and React, and to craft robust RESTful APIs with Python/FastAPI.

Lancesoft Ltd in Cambridgeshire, UK, is seeking a contract Software Engineer to maintain and expand our data collection platform. You will develop software for prototype wearable devices, integrate them into the data collection lab, and work with a cross-disciplinary team of audio/video engineers an

Epic Games in the United Kingdom seeks a Senior+ Software Engineer to join our collaborative, creative team across multiple locations. This role emphasizes cross-location collaboration and delivering high-quality software at scale, with opportunities to influence engineering directions across platfo

You will work closely with Heads of Engineering, Solution Architect and Principal Engineers to implement scalable, maintainable solutions that meet backlog, roadmap and business objectives. CSL Group in the United Kingdom is seeking a Senior Software Engineer to own the design, development and deliv

You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE. Senior Python / Backend Engineer.

A fast-scaling SaaS company in London is seeking a Senior Data Engineer to develop and scale their ML/AI-enabled platform. With strong experience in Python, FastAPI, and Google Cloud Platform, you'll have a direct impact on the business and enjoy a remote-first culture with opportunities for career

Pontoon Solutions is seeking a Senior Python Engineer in Welwyn Garden City. The ideal candidate will possess extensive Python and Django experience, run asynchronous task pipelines, and ensure security across applications.

Senior Python Software Engineer - £90k - £100k. Senior Software Engineer (Python / AWS). You’ll lead the delivery of cross-service features within a modern cloud platform, making pragmatic architectural choices and setting high standards for engineering quality, reliability, and performance.

Data Engineer – Python, Databricks, Snowflake, Azure, Data Engineering, Data Architecture, Data Analytics, Process Automation, Actuarial, Risk, Investment Data – 12-month Fixed Term Contract. A Data Engineer with strong skills in Python and the Databricks ecosystem is sought after by a leading p

A premier recruitment agency seeks a Back-End Engineer to join their high-calibre team in London. The role involves designing scalable backend systems using Python, integrating AI-generated code, and collaborating on projects.

Head of Practice - Software Engineering @ La Fosse. I’m working with an exciting AI software company based in London that’s at the forefront of prompt engineering and Large Language Model (LLM) innovation. The team currently sits at around 20 people, and they’re looking for a Senior Software E

A leading recruitment agency is seeking a mid-level Network Engineer for a prestigious FinTech organization in London. The ideal candidate will have 4-8 years of experience, expertise in Routing and Switching, and familiarity with Network Automation using Python.

Tenth Revolution Group is seeking an experienced frontend-leaning full stack engineer to join a fast-growing tech business building AI-powered products. You will own features end-to-end across the stack, with a focus on frontend experiences in React and TypeScript and backend services in Python/Djan

A leading recruitment agency seeks a Python Software Engineer for a high-frequency trading firm in the UK. Ideal candidates should have a minimum of 2 years of Python experience and a strong interest in financial markets.

Excellent collaboration and communication skills, enabling smooth work across engineering and non-engineering teams. As a Senior Software Engineer, you will be a key member of our growing engineering team, responsible for designing, building, testing, deploying, and maintaining scalable systems. Wri