476 to 500 of 929 LLM Jobs in the UK

Job Description This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In ...

000United KingdomMachine Learning Engineer | Production AI & LLM SystemsIf you're an ML Engineer who enjoys building, deploying and scaling AI systems in production, rather than just experimenting with models, this could be a great fit. You'll work across ML Engineering, Software Engineering and Cloud Infrastructure, with real ownership over … services are built, deployed and operated. Why it's interesting: Build and scale production AI/LLM systems, including RAG and agentic workflowsOwn the full engineering lifecycle, from Python development through to AWS deploymentWork with Python, FastAPI, AWS, Docker, CI/CD and infrastructure-as-codeSolve real engineering challenges around ...

AI Engineers – Newcastle – £60,000 to £120,000 per year DOE –On-site We are delighted to be working with a leading technology consultancy that is expanding its specialist AI and engineering team. We are ...

GenAI, copilots, and agentic AI Architect intelligent cloud and hybrid ecosystems, supporting the modernisation of legacy data environments Design and implement agentic AI workflows, LLM-based applications, and decision intelligence platforms Drive automation through DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation) Develop enterprise data … ability to design and deliver end-to-end AI or data strategies and roadmaps Desirable: TOGAF or DAMA certification Experience with agentic AI systems, LLM applications, or AI product delivery Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients ...

AI Enablement Lead South West London (Hybrid, 2 days per week) 12 month FTC with strong potential for extension or a longer term opportunity I'm working with a large international business in a heavily ...

distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliablyMaintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacksSynthesize field learnings, establish repeatable configuration scripts and deployment patterns, and develop cross functional data based recommendations … LLMs, production-grade GenAI applications, autonomous agents, and or orchestration frameworks for production level software, with a preference for experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingExperience working directly with customers during POCs, architecture reviews, and technical evaluationExperience ...

An exciting opportunity for a Senior AI Engineer/AI Solutions Architect to take ownership of a greenfield AI transformation project for an established business. Senior AI Engineer Greenfield AI Project | Agentic AI | LLMs | AWS ...

11070Location: London, England, GBType: PermanentSalary: USD excellent salary, bonus, full bensd per yearPosted: 2026-01-15LLM & Agentic Consulting EngineerLondon HQ, remote base, 2 trips to office per month Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This … measurable AI solutions. Key AccountabilitiesClient-Facing AI Engineering & Agentic System DesignYou will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loopsMulti-agent architectures, including planning, delegation, safety constraints and monitoringRetrieval and vector-based systems, embeddings, structured reasoning ...

Engineer to join a high-profile programme delivering AI-driven solutions using Python, Azure OpenAI, and LLMs . Key Responsibilities Build and enhance LLM-powered document extraction pipelines. Develop solutions for PDF processing, OCR, entity matching, and structured data extraction. Improve accuracy through testing, evaluation, and regression frameworks. Scale services ...

machine learning and AI-powered systems for complex, real-world problems. Provide technical leadership across a range of approaches, from classical machine learning to LLM-powered systems. Oversee end-to-end solution delivery: problem framing, experimentation, evaluation, deployment, monitoring, and iteration. Guide the development of systems that combine retrieval, ranking … large language models in applied or production settings. Experience with retrieval-based approaches, including embeddings, semantic search, and ranking. Experience guiding or contributing to LLM-powered systems involving multi-step reasoning, tool use, or workflow orchestration. Strong judgment about when classical machine learning, retrieval, or LLM-based approaches are appropriate. ...

work with documents and automate research. You'll join the UK core team of around thirty people, working in Python on production ML and LLM systems that sit behind data-dense enterprise products. THE ROLE You'll report to the Head of Engineering and own the machine learning layer … platform, from the first prototype through to a monitored production service. The work combines applied LLM engineering with the rigour that high-stakes financial workflows demand. The hard part is reliability and measurement: a model that is right most of the time is not enough when analysts ...

technical solutions. Hands-on experience writing and shipping production Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector ...

technical solutions. Hands-on experience writing and shipping production Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector ...

technical solutions. Hands-on experience writing and shipping production Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector ...

join a high-calibre engineering team building production-grade AI systems that solve complex, real-world business challenges. You'll work on cutting-edge LLM applications, agentic workflows, retrieval systems, and AI infrastructure, with the chance to influence technical direction and contribute to a fast-growing product at the forefront … deploy agentic AI workflows using tools such as LangGraph and LangChain. Design and optimise RAG pipelines, including vector search, embeddings, and retrieval strategies. Develop LLM-powered applications for document intelligence, classification, extraction, and reasoning. Create evaluation frameworks and observability tooling to monitor AI performance, quality, and cost. Engineer scalable backend ...

Lead Applied Scientist - AI & Machine Learning London (Hybrid - 2-3 Days per Week in the Office) Salary: £95,000 - £120,000 + Bonus + Excellent Benefits Are you an experienced AI and Data Science leader ...

workflows Design prompts and safety guardrails Implement monitoring and CI/CD pipelines Collaborate with clients and technical teams Requirements 1-3 years deploying LLM/GenAI systems in production Strong Python skills Experience with cloud platforms Knowledge of RAG, vector databases, and LLM frameworks Git and CI/ ...

experimenting with AI, building prototypes and taking them through to production. Key Responsibilities Build and deploy AI-powered features from prototype to production. Develop LLM integrations, agents, tool use and orchestration workflows. Build and maintain scalable backend services and APIs. Work with Product and Engineering to identify meaningful AI opportunities. … agents. AWS, particularly Lambda, SQS/SNS, Bedrock or S3. Vector databases, embeddings and retrieval-augmented generation (RAG). Prompt engineering and LLM evaluation. Docker, CI/CD and multi-tenant SaaS platforms. AI safety, governance and responsible AI practices. Interested in building practical AI solutions that make a real ...

evidence discovery pipeline across ~1,500 SharePoint artefacts (emails, contracts, risk logs) across ~60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration. Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure AI Search capabilities … standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP, structured document chunking ...

evidence discovery pipeline across ~1,500 SharePoint artefacts (emails, contracts, risk logs) across ~60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration. Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure AI Search capabilities … standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP, structured document chunking ...

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Principal Technologist, Dev - AI Core Services Development Location: Cambridge, UK Employment Type: Regular, Full-Time (Hybrid)We are looking for a ...

stack services (frontends and backend services) into production environments. End-to-End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data … development of responsive frontend applications (React/TypeScript) and robust, scalable backend services (Python, Java, Kotlin, or Node.js).LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour).Operational Excellence: Champion high availability, performance optimisation, and observability across frontends ...

member of the Security Enablement team, you will help provide automated security testing solutions for Bloomberg, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team's goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development … assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, and integrations with development and security tooling. You'll need ...

Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security ...

Staff AI Engineer Salary: £105,000 - £120,000 Location: London | Hybrid Data Idols are working with a leading organisation that is investing significantly in its Data & AI capabilities. They are looking for a Staff AI ...