576 to 600 of 627 Data Engineering Jobs

within a major UK Defence digital transformation programme, driving the design, build and demonstration of AI/ML proof-of-concepts across sensitive mission data, legacy estates and modern cloud platforms. The environment is heavily aligned to Oracle technologies, so experience with Oracle’s cloud-native AI stack … objectives and operational scenarios. • Ensure all AI solutions comply with MOD security constraints, cloud governance, auditability requirements and responsible-AI principles. • Work closely with data engineering teams, application/integration specialists and security SMEs across a geographically dispersed programme delivery organisation. • Contribute to SDLC processes (Agile/Iterative ...

should have 10–12+ years of experience in IT services sales in the European market, with at least 5+ years selling AI, ML, and data-led solutions. Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals. The candidate … value realization to senior and C-level stakeholders. Win new strategic accounts and expand footprint within existing enterprise customers. Collaborate with AI solution architects, data scientists, and delivery teams to shape winning proposals. Align customer AI maturity with solution roadmaps and delivery feasibility. Maintain opportunity, account, and pipeline data ...

Cloud Infrastructure Engineer with deep expertise in Google Cloud Platform (GCP) and Infrastructure as Code (Terraform) to join a high-performing infrastructure and cloud engineering team. This role supports a complex, enterprise-scale, multi-cloud environment across GCP, Azure, and private cloud, with an emphasis on cloud platform engineering … Security and TLS configuration Working knowledge of Azure infrastructure Experience working in a multi-cloud or hybrid cloud environment Primary Cloud Platform: GCP (Application & Data Engineering workloads) Secondary Cloud Platform: Azure (Compute, Storage, Networking; active-active DR) Infrastructure as Code: Terraform (core requirement) Container Platform: GKE (Google Kubernetes ...

appoint a Senior Quant Software Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego. The successful candidate will work at the intersection of quantitative research … data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance. The Role As a Quant Developer, you will: Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure Develop high-performance, robust ...

join a high-profile programmed within a secure government environment. This role focuses on building, automating, and maintaining scalable cloud infrastructure while supporting data-driven platforms and integrations. Key Responsibilities Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support … optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications and services using Docker Conduct and implement security scanning and vulnerability management Work with Jupyter Notebooks for data exploration ...

join a high-profile programmed within a secure government environment. This role focuses on building, automating, and maintaining scalable cloud infrastructure while supporting data-driven platforms and integrations. Key Responsibilities Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support … optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications and services using Docker Conduct and implement security scanning and vulnerability management Work with Jupyter Notebooks for data exploration ...

Business Analytics Lead Drive Data-Driven Manufacturing Excellence We are looking for a Business Analytics Lead to play a pivotal role in transforming operational data into actionable business insight across our Paper Division. Leading a small but highly capable data engineering team, you will build … develop the OT-to-business data infrastructure that underpins operational analytics, advanced anal... WKCL1_UKTJ ...

models Collaborate with stakeholders to produce and deliver a premium and optimum product Own features end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics Drive technical excellence, high product quality, innovation, and timely delivery in an agile, production critical environment Mentor junior … other cloud providers) to build, deploy, host and run services Experience in front-end frameworks such as Vue, React or Angular Familiarity with data engineering, relational, and NoSQL databases The ability to reason and communicate your opinions, while also being a team player and accepting others' approaches Clean ...

mission-critical systems for government and commercial clients. Our teams partner closely with customers to deliver innovative solutions across cloud strategy, cybersecurity, systems integration, data engineering, machine learning, AI, disaster recovery, and enterprise infrastructure initiatives. Our approach is built around collaboration and long-term partnership. We work closely … with stakeholders at every level of the organization-from executive leadership to engineering and operations teams-to provide scalable, resilient, and secure technology solutions that solve complex business and operational challenges. With deep expertise in cloud-first architectures, automation, DevSecOps, virtualization, reliability engineering, and large-scale systems integration ...

approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should … strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models ...

applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring … uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this ...

successful candidates will need to be British citizens This Machine Learning Engineer should have most of the following key skills: - A software or data engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow ...

digital product initiatives. This is a high-impact position sitting at the heart of a fast-paced, innovative environment, where you will enable engineering and product teams to deliver with clarity, structure, and precision. The Role As a Technical Delivery Lead, you will be accountable for the overall delivery … team cadences Act as the bridge between technical teams and senior stakeholders , translating complex delivery updates into clear business insights Align delivery priorities with engineering capacity and commercial objectives Lead the resolution of delivery challenges, ensuring momentum is maintained without unnecessary process overhead Support programme-level planning , including resource ...

recruiting for a Python Developer to join the Fixed Income trading technology team within a leading international Investment Bank. This is a core software engineering role focused on building production trading systems . We are looking for a core Python engineer who enjoys owning components, improving systems, and working … closely with the business in a fast-paced trading environment (this is not a quant, data engineering or AI/ML role). You will sit within Front Office Technology supporting the Fixed Income trading desk which develops the core platforms that underpin trade capture, execution workflows, pricing ...

Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys, monitors ...

job. Requirements: 7+ years experience developing and maintain scalable Python/FastAPI back-end services Ideally worked with high-performance APIs for complex hierarchical data queries and grid modelling computations Managed and optimised GCP cloud infrastructure, implementing CI/CD pipelines and infrastructure-as-code Lead technical planning … breaking down roadmap items into scoped engineering work, driving ADRs and setting standards for code quality, testing, and API design Collaborate cross-functionally with front-end, data engineering, modelling and product teams to deliver reliable, impactful features Line-manage a team of 35 engineers through ...

working with a London-based Financial Services client who are actively seeking a Principal Java Developer with extensive experience in the Risk and Market Data space. What you'll need to succeed : Strong server-side Java Development experience in a lead role working on Risk and Market Data platforms Strong investment banking experience Strong experience working with Quants Good understanding of data engineering principals Strong cloud experience, ideally with AWS What you'll get in return : Initial 6-month contract with extensions Up to £950pd Umbrella London-based hybrid working What you need ...

transformation journey. This is not a traditional FP&A role. We are looking for someone who can bridge the gap between Finance and Data Engineering helping reshape forecasting, reporting and financial insight through modern data platforms, automation and AI-enabled ... CRWG1_UKTJ ...

transformation journey. This is not a traditional FP&A role. We are looking for someone who can bridge the gap between Finance and Data Engineering helping reshape forecasting, reporting and financial insight through modern xkybehq data platforms, automation and AI-enabled Learn more about the general tasks ...

LGBTQ+ business community. Please do not contact the recruiter directly. Description We are looking for a Technical Product Manager to join our growing engineering organization (headquartered in Reigate, ~300 engineers) developing a wide range of market leading InsurTech solutions. You will join us at an exciting time … role combines the strategic thinking of a Product Manager with the hands‐on execution focus of a Product Owner. You will work closely with engineering teams, architects, and business stakeholders to shape the product vision, manage the backlog, and drive high‐quality delivery through modern software development practices including ...

Senior/Principal Palantir Engineer UK (Hybrid) Permanent Data & AI Platform About the Role: Highly reputable organisation currently building a high-impact Data & AI capability and are looking for a Senior/Principal Palantir Engineer to help shape and scale their platform from the ground up. Exciting opportunity … work at the intersection of data engineering, AI, and operational systems, d click apply for full job details ...

complex ML systems that support the needs of users, creators, and content stakeholders. Who are you? 8+ years of professional experience in software engineering focused on deploying machine learning models in production at scale. Hands-on experience training and serving large-scale models using frameworks such as Tensorflow … PyTorch. Experience production using machine learning models, and managing and designing end-to-end ML systems, and data pipelines. Deep understanding of the mathematical foundations of Machine Learning algorithms. Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...