101 to 125 of 2,238 LLM Jobs in London

effective people managerHands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling)Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability ...

people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability ...

queues. Hands-on experience building and deploying AI applications in production environments. Experience implementing RAG pipelines , AI agent orchestration , and performance monitoring. Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety. What We Offer: You will be reporting directly to the founders, who have ...

related area. Practical experience using generative AI to support analysis, research, documentation, coding, automation or business productivity. A good understanding of large language model concepts, including prompting, context windows, retrieval, structured outputs, model selection and output evaluation. Familiarity with applied AI techniques such as retrieval-augmented generation, embeddings, vector search ...

work with business stakeholders and translate requirements into technical solutions. Desirable Skills & Experience Experience within financial services, banking or financial modelling environments. Experience with LLM-based applications and enterprise AI platforms. Experience implementing AI solutions in production environments. Experience with Azure AI services and Microsoft Copilot technologies. Experience working within ...

director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. ...

Prototype and help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands-on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts and practices, including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails ...

infrastructure, or applied AI products. Deep expertise in Python, asynchronous programming, system design, and backend engineering fundamentals. Hands-on experience building production systems involving: LLM orchestration or agent frameworks (Pydantic, LangChain, custom orchestration). Data pipelines, ETL, embeddings, or vector search Retrieval-augmented generation (RAG) or model-backed workflows High ...

workflows We’re looking for deep experience across: Python and strong software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM‐based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability ...

Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model ...

Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model ...

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 ...

Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), LLM integration, Vector Databases, and AI governance frameworks. Significant experience leading technical pre-sales engagements and developing complex solution architectures. Demonstrable experience responding to large-scale ...

ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices, DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power ...

notebooks) and an appreciation of wider data science techniques, enough to collaborate credibly with Data Scientists and Actuarial. Hands‐on experience applying AI/LLM tooling to analytics work (e.g. Co‐pilot for Power BI/Fabric, MCP‐style integrations, agentic assistants, code‐generation tools) with a pragmatic view ...

Entra ID, including SSO, OAuth/OIDC, role‐based access controls and secure access to APIs and data. Experience integrating AI-enabled features, including LLM, retrieval, search, document‐processing or workflow‐automation capabilities, into user-facing applications. A strong eye for product design and usability, including visual hierarchy, interaction patterns ...

right thing, not just the fast thing. Shape platform architecture with an architectural lens, contributing to long‐term decisions about how AI tooling, LLM integrations, and human‐in‐the‐loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability ...

messaging and events, Git, SonarQube AI in our workflow: Claude Code and Codex day to day, custom skills, MCP servers over our own platform, LLM-powered document and data ingestion What the first year looks like Month 1: you know the platform, the domain and the team ...

SailPoint IdentityNow, HashiCorp Vault, Okta, Saviynt, or equivalent enterprise identity platforms. - Familiarity with AI/ML security patterns, including identity and authorisation models for LLM-based agents and agentic workflows. - Experience applying SRE principles to security platforms, including SLO definition and automated remediation. - Background in DevSecOps and integrating identity controls ...

copilots. Key Responsibilities: Design and develop semantic layers, knowledge graphs and AI-ready data models Build RAG and Agentic AI solutions using modern LLM frameworks Work with Data Engineering teams to create business context across complex datasets Develop scalable retrieval, search and reasoning capabilities for AI applications Contribute ...

prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

modern engineering practices such as Docker‐based workflows and infrastructure as code. Practical understanding of AI‐enabled engineering and product use cases, including common LLM concepts and considerations such as privacy, security, bias, governance, and cost. Clear communication skills, with the ability to work effectively with engineers, product managers ...