2,151 to 2,175 of 2,993 Data Pipeline Jobs in the UK

Full Stack Software Engineer with a proven track record of building enterprise, highly scalable data platforms is sought on hybrid basis by a market leading software house with offices across the UK. You will work across the full technology stack, developing APIs and microservices, building scalable data … Typescript, Python, Java etc - Solid front end understanding - React, Next, Vue.js etc - Experience building scalable pipelines (Apache Spark, Airflow, dbt etc) - Experience building data lakes, data warehouses and/or real-time streaming solutions would be a real plus - Strong API and microservices development experience - Cloud ...

Build and improve software components that aggregate, correlate and present data from over 30 global distribution sites Develop applications and data-processing logic to identify performance issues, service degradation and hotspots across distributed systems Contribute to telemetry pipelines that ingest, transform and route metrics, logs … telemetry standards is desirable Exposure to Kubernetes, containers or cloud platforms is desirable Exposure to data-processing, event-streaming or telemetry-pipeline technologies is desirable Exposure to CI/CD, GitOps or configuration-as-code approaches is desirable Exposure to synthetic monitoring, automated testing, probes or distributed ...

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than … just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning. Responsibilities Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions ...

ready to LEVEL-UP THE GAME? We’re looking for an AI Solutions Technical Engineering Manager to lead the delivery of AI- and data-enabled products and platforms from early shaping through to measurable outcomes in production. You’ll operate at the intersection of engineering leadership, AI delivery … drive innovation while delivering under tight timelines and high expectations. The role You will lead multidisciplinary engineering teams (AI/ML, data, software, platform) to deliver AI capabilities that are trusted, adopted, and production-grade . You’ll partner with senior stakeholders & Product Managers to define outcomes, guide ...

decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight. Our ambition is to become the analytical backbone that … over which problems we take on. Breadth rather than a narrow track. The work follows the problem, which means service design one month and pipeline or infrastructure work the next. Engineers here have the opportunity to build depth across several areas rather than being funnelled into one. Progress without ...

within our Business Solutions Team, the role works across the whole of IT, collaborating closely with Infrastructure, Information Security, Business Solutions, Legal Tech, Data Architecture and Insights, Finance Systems and our Project Management Office to ensure solutions and platforms are designed from the ground up with our full … cloud strategy across major platforms. Cross-Team Collaboration: Work across the whole of IT, partnering with Infrastructure, Information Security, Business Solutions, Legal Tech, Data Architecture and Insights, Finance Systems and our Project Management Office to take solutions and platforms from concept through to production. Business Translation: Evaluate business ...

Senior Python Engineer/Back End Developer to join a fast-moving team. You will develop Python microservices, scalable services, voice chat, and data pipelines, using AI technologies including ASR, TTS, and LLMs. The ideal candidate will have strong Python skills, a pragmatic delivery-focused approach … ability to take ownership in a fast-paced, evolving environment. Key Responsibilities: Develop and maintain scalable Python services, microservices, voice chat, and data pipelines. Work with the Tech Lead and wider team on architecture, technical decisions, and solution design. Collaborate with product, data science, QA, design ...

maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus.Job ResponsibilitiesDesign, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across … reliability best practices.Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time.Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services.Apply MLOps practices across the lifecycle: experimentation, versioning, CI/ ...

maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user … practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/ ...

maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user … practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/ ...

agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Lead Data Engineer at JPMorgan Chase within the GIB and a part of the Capital Markets Team you are an integral part of an agile team that works … solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Lead a Squad of Data Engineers to meet business deliveries working with Product and Design leads. Lead Agile ceremonies including standups, retros and technical refinements. Self-starter able ...

future of Salesforce. We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower … Technical Authority: Serve as the final technical escalation point for your portfolio. Maintain deep architectural judgment across the Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration. Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly ...

United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior ...

RocketFin Inc in Greater London is looking for a skilled Data Engineer to build and enhance data pipelines and automation workflows on Azure. Responsibilities include maintaining and optimizing toolkits, databases, and supporting real-time analytics within a dynamic trading environment. The ideal candidate will have strong … proficiency in Python and hands-on experience with Azure services like Data Factory and Databricks. Familiarity with Snowflake data models and third-party market data APIs is essential for success in this role. #J-18808-Ljbffr ...

agents and LLM-powered applications Design and develop robust, scalable, and maintainable automated test frameworks Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria Improve testing processes and infrastructure, integrating automated checks into … model performance and contribute to post-release quality validation Champion quality best practices across engineering teams Design, manage, and maintain test data strategies and mock services Manage the full defect lifecycle using customer feedback and debugging logs Report directly to the director of engineering Requirements 5+ years ...

Lead end-to-end delivery of CAT products (e.g., Concierge an agentic AI workflow tool, Prism a Mercer knowledge fabric for scheme data, and similar initiatives), from problem framing and design through build, release, and support.Translate risk advisory/consulting needs into clear technical requirements, user stories … solution designs; partner with stakeholders through UAT and rollout.Own the backend and integration approach (APIs, data flows, security, RBAC), and ensure solutions are scalable, maintainable, and well documentedProvide technical leadership for a distributed team (London + India): sprint planning input, code reviews, mentoring, and raising engineering standards.Drive quality ...

platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ … platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environmentsStrong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelinesDemonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers … designing, coding, reviewing, debugging, and improving production systems that support AI-powered products and servicesDesign and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scaleImplement advanced large language model applications using retrieval ...

Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … coding, reviewing, debugging, and improving production systems that support AI-powered products and services Design and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using ...

Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … coding, reviewing, debugging, and improving production systems that support AI-powered products and services Design and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using ...

Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … coding, reviewing, debugging, and improving production systems that support AI‐powered products and services Design and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real‐time and batch AI workloads at enterprise scale Implement advanced large language model applications using ...

Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … coding, reviewing, debugging, and improving production systems that support AI-powered products and services Design and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using ...

Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … coding, reviewing, debugging, and improving production systems that support AI-powered products and services Design and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using ...

will design and implement the Python systems, services, and orchestration layers that accelerate AI development across Nevis. You'll work across applied AI, data pipelines, model execution frameworks, agentic systems, retrieval infrastructure, and backend components that support our AI products. You'll thrive here if you love building … scale. What You'll Do Build and evolve Nevis' Python-based AI platform, powering core workflows and agentic automation. Develop model orchestration, data processing pipelines, retrieval systems, and execution runtimes for applied AI features. Create scalable APIs, services, and internal tools enabling rapid development, evaluation, and deployment ...

legal workflows across the firm. This role will serve as Orrick Labs' primary pro-code development resource, building applications, integrations, APIs, automation services, data pipelines, and user-facing solutions that extend and complement the team's low-code capabilities. The role requires strong software engineering skills … agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data as needed to the firm’s internal AI agents. Design, develop, and deploy custom software applications that support legal workflows. Architect and build APIs ...