626 to 642 of 642 Data Pipeline Jobs in the UK

work on complex public sector security programmes Strong technical environment with scope to mentor other engineers Exposure to modern cloud, detection and security data technologies THE SENIOR SECURITY ENGINEER ROLE You will take ownership of monitoring and detection capabilities across complex environments, building and tuning detection logic while … Working closely with SOC analysts to improve operational detection capability Managing log ingestion, routing, filtering, normalisation and enrichment using Cribl Supporting cloud security data across technologies such as Kinesis, S3 and Amazon Security Lake Job Description Job Description SENIOR SECURITY ENGINEER ESSENTIAL SKILLS Hands-on cloud security experience ...

implements process improvement initiatives by engaging with cross-functional teams. Responsible to scan processes for AI automation and augmentation, develop business cases, design data pipelines and models, and lead end-to-end execution from discoveries through production and ongoing optimization Strong grounding in prompt engineering, NLP, optimization … experience translating operational pain points into deployable solutions; excellent communication and storytelling; and a track record delivering complex programs. Preferred: exposure to enterprise data, process mining, and responsible AI Assigned to moderately complex business problems and/or a piece of an enterprise-wide initiative. Conducts research ...

execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven … templates and playbooks that make every engagement faster than the last. What You'll Be Doing Building working AI proofs on real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent ...

that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. … integrations. Agents are only as capable as the systems and context they can reach. You design and build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable. Influence technical direction. You have opinions about how things should be built ...

evaluation suite, the systems we use to measure and improve the quality of AI output Build across the full stack yourself, from data pipelines and backend services to the front-end tools our experts use Work closely with prompt engineers and subject matter experts, turning their knowledge into … Nice to haves Experience with building evaluation suites for AI products Experience with Python and TypeScript Experience building internal tools, testing frameworks or data pipelines Experience at a startup or in a small team where you built things end to end What good looks like in this role ...

focused teams to own delivery of high-stakes integration projects. A day's work may include architecting API-led connectivity strategies, designing agentic data pipelines, and sitting across from a customer's executive team to set their AI integration roadmap — but the most impact comes from shipping real … principles — API-led connectivity, process orchestration, application lifecycle management, and securityStrong engineering background. Preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experienceProficiency in at least one coding language (Python, Java, JavaScript, Node, Go, or similar) and a passion for working close ...

smart) products Experience of working in complex multidisciplinary projects that requires a high level of technical know-how Experience with manufacturing databases, production data pipelines, and engineering data analysis tools. Experience with hardware communication protocols such as I2C, SPI, UART, Ethernet, or similar embedded and instrumentation ...

rare opportunity: the first 12 months are fully set aside for structured training , allowing you to learn the company’s trading systems, market-data architecture, and performance-critical design patterns before taking ownership of production modules. About the Role You’ll work on high-performance, real-time trading … software that processes market data, drives execution logic, and supports mission-critical investment workflows. Expect deep technical challenges across concurrency, optimisation, messaging, and deterministic system behaviour. The environment suits engineers who enjoy precision, reliability, and long-term craftsmanship in C++. Key Responsibilities Design, develop and optimise C++ components ...

support our customers and colleagues. Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. Youll contribute to production services from day one, developing your skills while improving reliability … configuration, access, environments, integrations and lifecycle management. Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems. Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations. Monitor ...

customers' browsing experiences to support growth. On the other side of the order, we're consolidating tooling for Customer Service and Operations, improving data visibility across the order journey, integrating new carriers, and increasing manufacturing capacity while protecting customer experience and margin. We're also changing … these tools genuinely help and where they do not, and raise the practice of the teams around you rather than only your own. Data and tooling coherence: Assist in enabling a 360-degree order view and actioning capabilities for Customer Service and Operations by standardising data ...

technical strategy, architecture decisions and long-term platform planning alongside the Head of Engineering. Maintain secure, performant and reliable systems, services and data pipelines as the platform scales. Work closely with product teams to understand lettings workflows and develop technology that solves meaningful operational challenges. Drive technical improvements … quality. Understanding of agentic AI, large language models and the challenges of operating AI pipelines at scale. Experience with event-driven systems, secure data pipelines and cloud-native application development. Knowledge of Next.js and frontend development would be advantageous. Experience working with technologies such as PostgreSQL, MongoDB ...

Location: London; UKWork type: HybridSeniority: DirectorPrimary skill: Business ConsultingPosted: 2026-09-29We're looking for a Director – AI & HPC Data Centre Compute to join our team in London, United Kingdom in a hybrid working mode. In this senior leadership role, you will drive EPAM … data centre strategy, leading engagements that optimise compute infrastructure across full-stack environments—from accelerators and networking to schedulers, containers and AI platforms. You will address cost, scalability and power constraints through software engineering, platform optimisation and systems integration rather than hardware procurement, helping clients deliver performance ...

value-driven execution roadmaps, aligned with business strategy, regulatory requirements and long-term technology modernisation objectives. The role bridges enterprise architecture, business strategy, data, cloud and AI engineering. You will ensure that Generative AI initiatives move beyond isolated proof-of-concepts and become integrated into enterprise platforms, operating … models and business processes. Key Responsibilities Define and maintain current-state, target-state and transition enterprise architectures across applications, data, integration and infrastructure. Align enterprise architecture strategies with business objectives, digital transformation initiatives and technology roadmaps. Act as a Generative AI Subject Matter Expert, advising executives and senior ...

value-driven execution roadmaps, aligned with business strategy, regulatory requirements and long-term technology modernisation objectives. The role bridges enterprise architecture, business strategy, data, cloud and AI engineering. You will ensure that Generative AI initiatives move beyond isolated proof-of-concepts and become integrated into enterprise platforms, operating … models and business processes. Key Responsibilities Define and maintain current-state, target-state and transition enterprise architectures across applications, data, integration and infrastructure. Align enterprise architecture strategies with business objectives, digital transformation initiatives and technology roadmaps. Act as a Generative AI Subject Matter Expert, advising executives and senior ...

value-driven execution roadmaps, aligned with business strategy, regulatory requirements and long-term technology modernisation objectives. The role bridges enterprise architecture, business strategy, data, cloud and AI engineering. You will ensure that Generative AI initiatives move beyond isolated proof-of-concepts and become integrated into enterprise platforms, operating … models and business processes. Key Responsibilities Define and maintain current-state, target-state and transition enterprise architectures across applications, data, integration and infrastructure. Align enterprise architecture strategies with business objectives, digital transformation initiatives and technology roadmaps. Act as a Generative AI Subject Matter Expert, advising executives and senior ...

what gets built, how it gets built, and what doesn't get built yet. Maintain secure, performant and maintainable systems, and reliable data pipelines, as the platform scales across customers. Get close to the product: understand the property workflows the platform automates, so the systems you build solve … lead from day one. The stack NestJS backend and Next.js frontend A monorepo deployed as microservices Hosted on Google Cloud and Kubernetes Data stored in Postgres, MongoDB and Qdrant Everything is built to run agents, not just respond to them. What good looks like Month 1: You know ...

what gets built, how it gets built, and what doesn't get built yet. Maintain secure, performant and maintainable systems, and reliable data pipelines, as the platform scales across customers. Get close to the product: understand the property workflows the platform automates, so the systems you build solve … lead from day one. The stack NestJS backend and Next.js frontend A monorepo deployed as microservices Hosted on Google Cloud and Kubernetes Data stored in Postgres, MongoDB and Qdrant Everything is built to run agents, not just respond to them. What good looks like Month 1: You know ...