626 to 650 of 2,326 LLM Jobs in the UK

real clientprogramsacross industries, building production-grade software that connects to and supports agentic AI systems understanding how your full-stack work integrates with agentarchitecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part … Responsibilities Use AI coding assistants daily as a standard part of delivery, actively,frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across ...

delivery of the agentic AI strategy. Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications. Own end-to-end engineering lifecycle: architecture, build, deployment, and optimisation of AI services. Drive adoption of modern AI patterns including RAG, agent orchestration … Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs).Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. Proficiency in modern programming and automation (Python, PowerShell, REST APIs, IaC).Understanding of data platforms (CosmosDB, SQL, Redis ...

Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards … cloud‐native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event‐Driven Architecture, and DevOps practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI ...

This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for ...

Agentic AI Software Engineer London (Hybrid Working) 12 Month Contract Inside IR35 Our client, a leading pharmaceutical organisation is looking for an experienced Agentic AI Software Engineer to join a team developing next generation AI ...

## Forward Deployment EngineerApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-018193**Main purpose**Trafigura is recruiting a hands-on Forward Deployment Engineer (FDE) to sit at the intersection of ...

This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Software Engineer/Senior AI ...

About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. ...

AI Solution Architects & Technical AI Leaders Manchester | Hybrid AI Solution Architect- Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof ...

Help shape how AI systems run reliably in production at scale. In this role, you’ll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You’ll work hands-on with cloud and Kubernetes-based deployments, deep observability … that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. ...

experimentation through to scalable deployment, with a strong emphasis on technical depth and rigour. What You’ll Do Design and implement end‐to‐end LLM training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine‐tune and optimise open weight models (LLMs, vision or traditional ML) Build ...

end. The role will focus primarily on model development, data pipelines and system performance. What You'll Do • Design and implement end-to-end LLM training pipelines • Source and, where appropriate, preprocess datasets for training and evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build ...

AXA is seeking a Principal AI Engineer to lead the development of innovative AI solutions and strategic engineering across the company. You will drive the vision for full-stack engineering within AI and AIOps, shaping ...

AXA is seeking a Principal AI Engineer to lead the development of innovative AI solutions and strategic engineering across the company. You will drive the vision for full-stack engineering within AI and AIOps, shaping ...

AXA is seeking a Principal AI Engineer to lead the development of innovative AI solutions and strategic engineering across the company. You will drive the vision for full-stack engineering within AI and AIOps, shaping ...

Aveni is building real, production-ready AI systems to transform financial services across the UK. You will lead an AI software squad as the technical voice, owning direction, quality, and hands-on delivery from design ...

Genixbit in London is seeking an AI Engineer to fine-tune open-source models for domain tasks, improve deployment pipelines, and develop context management and semantic search solutions. The role requires hands-on experience with ...

experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed/developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding ...

particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering ...

integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Leads applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality Runs fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience shipping user‐facing products or internal platforms people love: interviewing users, hunting down friction ...