1 to 25 of 382 LLM Jobs in London

UK. Conduct architecture reviews, proof-of-concept work, and hands-on prototyping writing production-quality code where required. Evaluate and select AI/LLM providers, tooling, vector stores, and orchestration platforms with a clear commercial and technical lens. Drive best practices in observability, safety, evaluation, and responsible AI for agentic ...

working systems AI Engineering capability (essential) All engineers in this team are expected to meaningfully apply AI in production systems, including: Building and deploying LLM-based applications in production environments Designing agentic workflows and multi-step AI systems Implementing RAG (Retrieval-Augmented Generation) pipelines Working with OpenAI or Anthropic APIs ...

software engineering, or data engineering. Programming experience (especially Python) Experience writing clean, maintainable Python code. Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows. Agentic frameworks in Python is a plus ...

delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security ...

10+ years of professional software engineering experience with ownership of production systems 3+ years of hands‐on experience building and deploying AI/LLM‐based systems in production (agents, RAG pipelines, orchestration) Strong experience designing and delivering cloud‐native systems, including APIs, microservices, containers, and serverless or event‐driven architectures ...

development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users.Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability.Continuously improve model quality through tuning, evaluation, and feedback from production usage.Evaluate third-party ...

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 ...

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

automated evaluation systems such as LLMasJudge and hybrid scoring approaches.‐based testing, regression suites, multi‐turn agent simulations, and automated evaluation systems such as LLM‐as‐Judge and hybrid scoring approaches.* Build, refine, and maintain frameworks that assess model quality, robustness, performance, safety, explainability, and reliability at scale.**Model Validation ...

mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject matter expert ...

strategic concepts to diverse audiences, from engineers to executive leadership. Extensive experience designing, optimizing, and implementing strategic approaches to Model Context Protocols (MCP) for LLM-powered agents across multiple products, including advanced strategies for prompt engineering, context management, and memory architectures. Hands-on software engineering or data science experience, particularly ...

more Expect to work on 1-2 major projects, with high-impact, end-to-end ownership. What you'll be doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver ...

cross-functionally with Index R&D, Data & AI, and Engineering teams to ensure alignment between AI innovation and business priorities. Explore emerging technologies in LLM orchestration, multi-agent reasoning, and Model Context Protocol (MCP) to identify and adopt best practices for MSCI's AI ecosystem. Contribute to the evolution ...

Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools ...

CrewAI - not just conceptual Agentic Coding Tools Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores Chroma, Weaviate, Pinecone - knows where RAG breaks LLM APIs & SDKs Anthropic, OpenAI, Gemini - prompt design, tool use Python/TypeScript Primary languages for agent + backend development LangSmith/Observability Tracing, evaluation, debugging ...

infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that ...

monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature … thought, structured output, and instruction tuning Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop ...

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 ...

structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This ...

executives, to drive adoption and long-term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best ...

expertise across the Microsoft AI stack: Azure OpenAI Service, Azure AI Foundry, Semantic Kernel, Copilot Studio, Power Platform, and Microsoft 365. Strong understanding of LLM architectures, RAG patterns, agentic workflows, and prompt engineering. Experience delivering complex AI transformation programmes for clients in regulated industries. Demonstrated ability to translate technical ...

audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands ...

appreciation of wider data science techniques, sufficient to collaborate credibly with Data Scientists and Actuarial colleagues. Hands-on experience applying AI and LLM tooling to analytics work (such as Copilot for Power BI/Fabric, MCP-style integrations or agentic assistants). Experience with Microsoft Fabric, dbt, Azure DevOps/ ...

design, build and own end-to-end technical delivery — from requirements gathering through to deployment and ongoing support Hands-on experience with AI/LLM integration (OpenAI, Azure OpenAI), RAG pipelines, or agentic frameworks is a key requirement Will provide technical leadership and mentoring to junior engineers and actively participate ...