1,376 to 1,400 of 1,699 Data Pipeline Jobs in the UK

/2026 Work setup: 3 days onsite/week Pay Rate: £492 per day all inc. (PAYE through Umbrella) Sector: Banking Role Description: Data Scientist Outcome-based optimisation assessment, implementation-ready recommendations role, with explicit expectations for hands-on analysis on optimizing fraud Models, ML platform on Google … reducing run-cost & Improving performance and reliability across GCP infrastructure, ML pipelines. You’ll apply strong engineering discipline and collaborate with IT Infra , data scientists and fraud stakeholders to deliver measurable compute and inference savings. Produce workable, implementable recommendations with effort/cost savings Provide configuration-level ...

processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please … pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous ...

with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training … practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based ...

with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &MLOpspipelines for training … practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based ...

Developer Advocate) within the cloud computing industry. Experience designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines. Preferred qualifications: Experience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups. Background as a CTO, lead … architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning ...

carbon-dioxide fluxes, and their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery … European Commission Strengthen ECMWF’s engagement with WMO G3W and take a proactive role in collaborations with the wider greenhouse-gas observation, modelling, data-assimilation and inverse-modelling communities, representing ECMWF where appropriate Design numerical experiments, develop robust scientific software and support the transition of scientifically mature developments ...

Senior Forward Deployed Engineer (FDE) London Financial Data Platforms Join one of the fastest growing fintech scale‐ups in London who are operating at the heart of the investment lifecycle, working with some of the biggest names in finance across the globe. This role suits a senior software … business problems into platform structures; debug across the full stack and pinpoint root causes Work on cutting edge solutions Build and configure client data pipelines, integrations, queries, workflows, and config‐driven deployments Mentor engineers and graduates; set quality and engineering standards through code review and design guidance What ...

growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. … will also work with the wider finance team as well as other functions across iwoca. The role You’ll translate complex financial data into useful management information and produce annual budgets aiding long-term planning and growth. Operational FP&A Preparation of the monthly operating model, including reconciliations ...

accuracy, resolution rate, and time saved. Diagnose cases where systems are technically "working" but producing poor outcomes, and close the gap. Partner with Data Engineering on shared platforms (infrastructure, CI/CD, data pipelines, security and governance) and contribute to shared standards, schemas, and best practices ...

machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy. Our platform spans on-premises infrastructure and public cloud environments, supporting computational … evolve alongside the needs of our science. Day to day, you will Partner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy. Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure ...

About the Role Lead a team of Forward Deployed Engineers to design, build, and deliver complex, production-ready Notion integrations, agents, automations, and data migrations for enterprise customers across EMEA. Combine people leadership, hands-on technical judgment, and customer-facing delivery to ensure successful implementation and long-term … technical and delivery advisor to customer engineering, IT, security, and business leaders. Guide design, build, and operation of custom agents, integrations, automations, and data pipelines connecting Notion with customers’ systems. Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation, validation ...

leverage your industry insight, proven track record, and knowledge of Google Cloud technologies. In particular, driving, digital transformation, modern infrastructure, and cutting-edge Data/AI solutions across our high-growth Mid-Market account portfolio. Using the wider technology consulting market to acquire new customers, the ideal candidate … successfully navigate their internal ecosystem to unlock resources.• Sales Acumen: Exceptional proficiency in modern sales methodologies with a strong discipline in pipeline hygiene and accurate forecasting.• Technical Literacy: Strong foundational knowledge of Google cloud infrastructure, data pipelines, and AI/ML capabilities, allowing you to speak credibly ...

industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform — uniting AI-automated hardware engineering with AI-designed … Engineer at Orbital you will design, build and operate the core systems powering Curie. You will work across the full backend stack: APIs, data pipelines, graph databases, event-driven architectures and the infrastructure that connects our AI models to the tools our scientists and engineers use daily. ...

happy standing on site talking to teams about the root cause of a problem as you are developing bespoke tools, automation scripts, or data pipelines to solve the problem back at the office. You have the experience to know when traditional engineering tools are good enough. The sort … digital skills you have might include: Advanced construction or manufacturing planning software or business process simulation. Python for automation Data visualisation e.g. PowerBI , Jupyter Notebooks or JavaScript libraries Database development Computational design frameworks like Grasshopper/Dynamo AEC data integration tools ,e.g. Speckle Digital development ...

autonomyAbility to work on ambiguous and complex problemsOwn the technical roadmap and deliverables of your project end-to-end, embracing long-term ownershipUse data to define, prioritise and measure the success of the initiativesCollaboration, Communication and GrowthGreat communication skills and the ability to tailor communication style depending … payments, finance domainsExperience working with distributed SQL engines (e.g. Trino)Ability to build software solutions, APIs, or platform tooling on top of big data pipelines and analytical enginesFamiliarity with configuration-heavy domain where business logic is shared between data and codeInterested? Find out more ...

line in review. Fixing production problems calmly, usually with less tooling than you would like and someone waiting on you. Working alongside the data, AI and platform engineers so models, pipelines and infrastructure land as one product rather than three. Improving the day to day: CI/… code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar ...

line in review. Fixing production problems calmly, usually with less tooling than you would like and someone waiting on you. Working alongside the data, AI and platform engineers so models, pipelines and infrastructure land as one product rather than three. Improving the day to day: CI/… code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar ...

proofs of concept, leveraging AI/Gen AI tooling to accelerate delivery ("vibe coding"). Build and integrate AI, Generative AI and Data-driven features into products. Work within an Agile environment, contributing to sprint planning, stand-ups and iterative delivery. Collaborate closely with product, design and data … DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data projects and tooling. Experience working in Agile delivery environments. Excellent communication skills and proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable ...

proofs of concept, leveraging AI/Gen AI tooling to accelerate delivery ("vibe coding"). Build and integrate AI, Generative AI and Data-driven features into products. Work within an Agile environment, contributing to sprint planning, stand-ups and iterative delivery. Collaborate closely with product, design and data … DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data projects and tooling. Experience working in Agile delivery environments. Excellent communication skills and proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable ...

Falcon Smart IT Limited seeks a Senior Data Engineer in London, UK. The role is a 1-year fixed-term contract with a hybrid work model: 2 days per week in client offices and 3 days remotely. You will architect and develop data platforms, build robust … data pipelines, manage metadata, monitor performance, and ensure data quality while collaborating with business and tech teams to meet strategic goals. #J-18808-Ljbffr ...

performing team. THE COMPANY This growing specialist insurance business operates within the personal lines market and has built a strong reputation through its data-led approach to underwriting and pricing. Having invested heavily in technology, analytics and innovation over recent years, the company combines the agility … range of insurance products. Analysing portfolio performance and producing insight-driven recommendations. Supporting risk modelling, fraud analytics and underwriting initiatives. Working with data pipelines, reporting processes and pricing systems. Contributing to automation and AI-driven projects across the business. YOUR SKILLS AND EXPERIENCE 1-2 years' experience within ...

make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance … retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

capabilities with architectural consistency. Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining …/GCP), container orchestration (Kubernetes), or distributed systems. Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups. Proven track record of presenting to and influencing executive-level stakeholders, with ...