251 to 275 of 306 Data Pipeline Jobs in the UK excluding London

Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from … play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team:At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced ...

looking for a Data Scientist to design, build, and deploy production-ready statistical and machine learning models that power advanced analytics. You'll work across a multidisciplinary team to deliver scalable, interpretable solutions using Python and robust modelling techniques . Client Details Our client is a globally recognised … provider of independent market intelligence, delivering data-driven insights and forecasts across countries, industries, and risk domains. They partner with leading organisations worldwide to support strategic decision-making in complex and evolving markets. Description Develop and deploy production-level code and scalable data pipelines Build ...

developing AI-powered solutions. This role offers the opportunity to work with large-scale real-world datasets including high-frequency sensor and SCADA data, building production-grade machine learning systems that deliver actionable operational insights. You’ll collaborate closely with data scientists, software engineers, and domain … learning solutions for predictive analytics and fault detection. Build scalable ML inference services and APIs using Python and C#/.NET. Develop robust data pipelines and feature-engineering workflows across large industrial datasets. Apply signal processing and machine learning techniques to operational data. Implement and optimise model inference ...

mounted tables and Hive Metastore. You'll bring strong AWS knowledge, hands-on experience working with S3 via Python, a solid understanding of data storage formats, and practical Python development expertise. What you'll be doing Lead the migration of Databricks assets (notebooks, jobs, clusters) from DBFS … usage Optimise the Databricks environment for structure, access, and governance Automate infrastructure and deployments using Terraform and/or CloudFormation Build and maintain data pipelines using Python, SQL and Databricks APIs Monitor platform performance using tools such as CloudWatch, Grafana, and Kibana Collaborate with engineering teams, stakeholders ...

role are required to hold an active DV security clearance, or SC clearance with eligibility for DV. Hexegic are looking for technically minded data and software engineers to work on an intriguing and exciting project, building and maintaining data pipelines and platforms for our customers … with similar languages API awareness for data retrieval and integration into processing pipelines Experience of stakeholder management and requirements capture Understanding of pipeline scheduling and health checks What’s in it for you? Base salary of £50,000-£70,000 £5000 a year professional development budget Wellness ...

with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Data & Automation Engineer (Python/SQL) for a 12 Months contract based in London (Hybrid - 3 Times per week in the office) Join … Data & Automation Engineer (Python/SQL) We're looking for a Data & Automation Engineer to join a high-performing team supporting critical back-office processes and data operations. You'll design and deliver Python and SQL-based solutions to automate workflows and respond ...

secure, high-performance applications using Java 17+ , Spring Boot, and Angular . Set standards for frontend engineering, API design, and backend service orchestration. Data & Platform Evolution Support the modernisation of legacy SDLC tooling and data platforms. Lead or contribute to complex data migrations, including … Elasticsearch upgrades and distributed data pipelines . Technology Stack Backend Java 17+, Spring Framework, Spring Boot Microservices & RESTful API design Frontend Angular, TypeScript HTML5, CSS3, SASS Cloud, DevOps & Infrastructure Kubernetes (GKE/IKP/AWS EKS) Docker, Terraform CI/CD: GitHub Actions, Jenkins Messaging, Streaming & ETL Apache ...

secure, high-performance applications using Java 17+ , Spring Boot, and Angular . Set standards for frontend engineering, API design, and backend service orchestration. Data & Platform Evolution Support the modernisation of legacy SDLC tooling and data platforms. Lead or contribute to complex data migrations, including … Elasticsearch upgrades and distributed data pipelines . Technology Stack Backend Java 17+, Spring Framework, Spring Boot Microservices & RESTful API design Frontend Angular, TypeScript HTML5, CSS3, SASS Cloud, DevOps & Infrastructure Kubernetes (GKE/IKP/AWS EKS) Docker, Terraform CI/CD: GitHub Actions, Jenkins Messaging, Streaming & ETL Apache ...

Security (NatSec) domain. This is a hands-on leadership role combining architecture, software engineering, and team leadership, with a focus on Software, AI, data platforms, and cloud-native systems. Key Responsibilities Lead and mentor Agile engineering teams, driving high-quality, rapid delivery (DevSecOps) Own solution architecture, designing … secure and constrained environments. Lead the implementation of the "underpinning tech" for AI, including data pipelines. Act as a trusted advisor to UK Government stakeholders. Define technical roadmaps and support cloud transformation (AWS/Azure) Core Skills Background in UK National Security/Defence/Government. Strong leadership ...

functional AI engineering team, providing technical and team leadership for enterprise AI development. Own the end-to-end AI architecture across agents, models, data flows and integrations, ensuring solutions are secure, scalable and aligned to a coherent enterprise ecosystem. Oversee design, build and production deployment of AI services … infrastructure, tooling and automated pipelines needed for efficient development, testing, deployment, monitoring and lifecycle management of AI models and agents. Deliver secure APIs, data pipelines and connectors so AI solutions integrate effectively with enterprise systems and business processes. Implement monitoring, incident management and continuous optimisation to ensure dependable ...

Technical Architect to join an existing team of experts. In this highly visible role, you will act as the bridge between complex data science and robust cloud architecture-spearheading the design, governance, and delivery of enterprise-grade AI solutions. You will technically steer engineering teams, manage senior stakeholder … approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI, and Cognitive Search. Data Pipelines: Oversee large-scale data processing and AI data engineering pipelines using Python and PySpark. Leadership & Stakeholder Management: Guide and mentor ...

ready to shape how quality engineering is done. Key Responsibilities Design, develop and maintain automated test suites for back end services, APIs and data pipelines Lead the development of QA strategy, test approach and automation standards across the engineering team Execute manual and exploratory testing for new features … Collaborate with developers to improve testability and identify issues early in the delivery cycle Validate performance, reliability and accuracy of real time market data and order flow systems Support release activities including regression testing, defect triage and production validation Drive continuous improvement of QA processes, tooling and documentation ...

chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code, robust error handling, well-designed APIs, and data pipelines Crafting effective prompts and optimising across latency, cost, and quality dimensions for different model providers Working with clients and internal teams to translate … experience and cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through ...

working within a product engineering team building and maintaining the server-side systems that power high-traffic digital commerce experiences - APIs, integrations, data pipelines, and the backend logic that sits behind omnichannel customer journeys. You will be expected to take ownership of meaningful parts of the codebase, contribute … building scalable Node.js backend services and APIs in a cloud-native, microservices environment Integrating with headless commerce platforms, content systems, and third-party data providers via REST and GraphQL APIs Building and maintaining event-driven pipelines that support real-time commerce operations across multiple markets Working closely with ...

across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong … track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century . We are seeking ...

under 10), early-stage startup building sustainable, environmentally-focused financial services. The focus of the solution is understanding where capital flows, and the data behind those decisions needs to be accurate, traceable, and built with care. This is a true end-to-end data focused role. … Youll own data wrangling from ingestion through to delivery, no hand-offs, no downstream dumping. Full responsibility, real impact. The company is profitable and revenue focused, with clients that include the likes of, JP Morgan, Goldman Sachs and some of the biggest Fund & Asset management companies. What youll ...

seeking a Business Analyst to join their FinOps product team, a newly created role sitting at the intersection of finance, operations and data engineering. Responsibilities: Gather and translate international business requirements into clear technical specifications and user stories for the FinOps product team Write and maintain SQL queries … extract, analyse and validate data across financial and operational databases Support data pipelines including bordereaux ingestion, data transformation and downstream reporting Provide hands-on technical product support, triaging issues and investigating data discrepancies Define acceptance criteria, lead UAT and validate delivered functionality ...

within Birketts’ core ecosystem, including Microsoft 365 (Copilot), iManage (Document Management), Aderant Expert (Practice Management), Intapp Intake (new client onboarding) and Microsoft Fabric (data platform). Azure is a likely hosting platform for any future ‘Birketts-approved AI environment’, subject to requirements and build vs buy decisions. … repeatable AI-enabled workflows. This role is delivery-oriented: you will design, build and ship incremental improvements, partnering with colleagues across Development, Data, Security, Knowledge Management and Learning & Development to drive adoption, skills sharing and effective change management. You will also support evidence-based build vs buy decisions ...

fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision … Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature ...

systems and grow in a technically ambitious environment. Key Responsibilities Design, develop and maintain automated test suites for back end services, APIs and data pipelines Execute manual and exploratory testing for new features and integrations Contribute to QA strategy, test approach and automation standards alongside senior engineers Collaborate … delivery cycle Integrate automated tests into CI and CD pipelines to support continuous delivery Validate performance, reliability and accuracy of real time market data and order flow systems Support release activities including regression testing, defect triage and production validation Help improve QA processes, tooling and documentation across ...

performance, and real-world application. What youll be doing Youll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. Youll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven … agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences ...

play a key role in supporting the plant's digital transformation journey. Working closely with Plant IT, Ford Production System teams, Global IT, Data Science and AI teams, you will help develop, deploy and maintain digital tools that improve manufacturing processes across the site. You will support … dashboards. Work with key stakeholders to develop and support a digital transformation roadmap focused on efficiency, waste reduction and process improvement. Partner with Data Science and AI teams to explore how predictive analytics can support production processes. Identify opportunities to improve manufacturing performance through digital tools, automation, data ...

technology to tackle diseases, including cancer and autoimmune conditions.The business is privately funded, entering a critical growth phase, and investing heavily into its data and cloud capability to support scientific discovery and clinical delivery. With active clinical programmes underway, technology is a core enabler rather than a support … even faster without breaking things. It's impact plus ownership at the point of scale.You will join a small, highly collaborative IT and data function, working closely with bioinformaticians and scientists to design and build a scalable, secure and reproducible AWS platform.This role sits at the intersection ...

Role: Test Engineer (Apps/SharePoint/Data)Location: London - Hybrid (3 days onsite)Salary: Up to £55,000 Sponsorship is not available for this role An organisation undergoing digital transformation is hiring a Test Engineer to drive quality across Power Platform, SharePoint and Data. This … hands-on role with real ownership, working end-to-end and coordinating across multiple teams. Role overview: Own testing across apps, SharePoint and data platformsDeliver end-to-end testing (front-end, back-end, integrations)Partner with developers and BAs on test planning and executionRun manual and automated testing ...

home. What you’ll be doing Building and evolving customer-facing platforms, internal tools, and operational systems Working across APIs, services, frontends, and data pipelines Pairing, reviewing code, and solving problems as a team Shipping fast, learning quickly, and improving continuously What we’re looking … Cloud-native – AWS or Azure in real production environments Polyglot engineer – comfortable picking up and switching languages Full-stack capability – frontend, backend, APIs, data Hands-on builder – scripts, CLIs, background workers, not just web apps Modern architecture – serverless, event-driven systems, or breaking apart monoliths Data ...