1 to 25 of 332 Permanent LLM Jobs in London

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 ...

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 ...

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 ...

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 ...

Services, Power BI, Power Platform, and data integration Experience with low-code and pro-code development across enterprise systems Understanding of AI integrations including LLM services and API-driven automation Experience using Azure DevOps for CI/CD, repositories, and deployment pipelines Strong stakeholder management and communication skills Ability ...

regulatory and governance frameworks (HIPAA, 21 CFR Part 11).* Exposure to RWE, biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ...

environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform ...

Experience • 8–10+ years of software engineering experience • Strong experience with cloud-native systems (APIs, microservices, containers, serverless) • Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) • Proficiency in Python, Java, or similar backend languages • Experience with: ◦ CI/CD pipelines ◦ Infrastructure as code ◦ Monitoring ...

global organisation building cutting-edge AI solutions at scale. We are looking for candidates who have hands-on experience building and deploying real-world LLM and agentic AI systems into production environments — not just prototypes. Key experience required: • Python and production-grade coding • LLMs, AI Agents & Agentic Workflows • LangChain/ ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...