1 to 25 of 295 Permanent LLM Jobs in London

productionising agentic AI systems—tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure to MCP (Model Context Protocol) and tool-based/function ...

technical challenges unique to your sector and have delivered AI solutions within it. Typical projects include: Building AI agents and autonomous workflows Developing LLM-powered applications and copilots Designing enterprise RAG and knowledge retrieval platforms Production deployment of Generative AI solutions AI integration into enterprise products and business platforms Scaling ...

Large Language Model (LLM) Technology ArchitectCareer Level: Associate Manager/SpecialistLocation: LondonYOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will spend … enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience ...

various backgrounds Preferred qualifications, capabilities, and skillsExperience with data, AWS and AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

training, evaluation, packaging, and production deployment.Deploy Large Language Models (LLMs) and generative AI workloads using advanced inference engines (e.g., Triton Inference Server, vLLM, TensorRT-LLM).Enable automated model validation, monitoring for model drift, data drift, and latency bottlenecks.Monitor and optimise cloud spend across high-cost GPU/CPU clusters across ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.Required Qualifications, Capabilities, and Skills:Advanced degree in Computer Science, Data Science, Machine Learning, or related field.Experience building and deploying agentic ...

ReqID:FEQ327R501Location: LondonSkills: Data Science, Machine Learning, AI, LLM, GenAIMissionAs a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting ...

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential.Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps ...

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps ...

skills with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environmentExperience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologiesExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages ...

make myself available outside of normal working hours to suit your schedule. KEY SKILLS AI Software Engineer/Machine Learning Engineer/LLM Engineer/Python/AWS/Azure/Docker/Kubernetes/Generative AI/NLP/RAG/MLOps/UKSV DV/Outside IR35/ ...

ability to support technical discussions withboth engineering and business stakeholders. Key Responsibilities Solution Implementation & Delivery Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools inclient environments Implement integrations between AI models, APIs, and enterprise healthcare systems Translate defined solution designs into high-quality, production-ready ...

OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol ...

analysis and machine learning.Experience with cloud platforms and services, preferably Azure, for data science and machine learningExperience with one or more generative AI and LLM frameworks and tools.Experience with machine learning concepts and techniques and Deep Learning.Experience with data visualisation and storytelling tools and techniques.Understanding of ethical considerations and compliance ...

Requirements Required Active SC clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding ...

practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting-edge expertise — Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies, and the AI product development ecosystem. Potentially helping to define the learning path for others as the area grows Build strong relationships ...

practice and our model provider partners to continuously improve our delivery playbook.Maintain cutting-edge expertise — Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies, and the AI product development ecosystem. Potentially helping to define the learning path for others as the area grows Build strong relationships — Develop ...

Experience in data science, machine learning, or applied NLP Strong hands-on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM-based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

specific APIs. Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging. Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph ...

like Playwright, Selenium, or Cypress AI-Augmented Testing Exposure: Working knowledge or hands-on exposure to AI-based test generation tools, self-healing automation, LLM-assisted scripting or debugging Independence: Ability to manage workstreams and collaborate effectively with minimal supervision API Testing: Experience testing REST APIs using tools like Postman ...

scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available ...

role: The Search and AI Platform is Elsevier’s agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering ...

compliance operations — secrets management, IAM/least privilege, PCI DSS-aligned controls, auditability.Reliability engineering — SLIs/SLOs, incident management, cost and capacity management (incl. LLM token/credit cost control).Nice‐to‐have skillsLLMOps/MLOps — model serving, gateway/proxy management, prompt/version management, guardrails at runtime.Experience hosting ...