126 to 150 of 663 LLM Jobs in London

infrastructure. The Role Depending on level, responsibilities are likely to include: Designing and building scalable AI systems and internal AI tooling Developing and deploying LLM-powered applications and agentic workflows Working across retrieval systems, prompt engineering and orchestration frameworks Building production-grade APIs and AI services Partnering with senior stakeholders ...

experience in AI product management, digital product management, enterprise product development, AI‐enabled transformation, or technology‐led business change. Strong understanding of generative AI, LLM‐enabled systems, intelligent automation, agentic workflows, and AI‐enabled product capabilities. Experience translating complex business problems into product strategies, requirements, roadmaps, prototypes, or delivery plans. ...

complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute ...

complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute ...

experience, ideally within a highly agile environment. Fullstack development experience. Strong experience with AWS and Kubernetes. Strong Terraform experience. Good knowledge of AI and LLM's Good infrastructure as code experience. Experience of common algorithms and data structures. What you'll get in return: Initial 6-month contract with extensions. ...

experience, ideally within a highly agile environment. Fullstack development experience. Strong experience with AWS and Kubernetes. Strong Terraform experience. Good knowledge of AI and LLM's Good infrastructure as code experience. Experience of common algorithms and data structures. What you'll get in return : Initial 6-month contract with extensions. ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

/FastAPI + React/TypeScript or equivalent) ✅ Solid SQL & data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (eg automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (e.g. automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...

Purview • Background in eComm, marketplace, or retail technology • Scripting (Python, PowerShell), Terraform, or detection-as-code experience • Familiarity with NIST CSF, ISO 27001, OWASP LLM Top 10, or similar frameworks What's on Offer for the Security Engineer • Real ownership — a genuine mandate to drive change, with the tooling ...

Purview • Background in eComm, marketplace, or retail technology • Scripting (Python, PowerShell), Terraform, or detection-as-code experience • Familiarity with NIST CSF, ISO 27001, OWASP LLM Top 10, or similar frameworks What's on Offer for the Security Engineer • Real ownership — a genuine mandate to drive change, with the tooling ...

Product Skills: Demonstrable experience with research & discovery, writing prd’s, user stories, acceptance criteria, reviewing and prioritising backlog s.● Experience working with AI tools, LLM APIs, prompt engineering, or AI agents to solve practical workfl ow problem s.● Experience working with data, be that working quickly with data in Excel ...

Product Skills: Demonstrable experience with research & discovery, writing prd’s, user stories, acceptance criteria, reviewing and prioritising backlog s.● Experience working with AI tools, LLM APIs, prompt engineering, or AI agents to solve practical workfl ow problem s.● Experience working with data, be that working quickly with data in Excel ...

Product Skills: Demonstrable experience with research & discovery, writing prd’s, user stories, acceptance criteria, reviewing and prioritising backlog s.● Experience working with AI tools, LLM APIs, prompt engineering, or AI agents to solve practical workfl ow problem s.● Experience working with data, be that working quickly with data in Excel ...

problems, not just technical solutions Have scaled TypeScript projects Enjoy refining and customizing your AI workflow into the early hours Building AI agents or LLM‐powered systems that go beyond simple prompting. Bonus points for: Academic or applied experience in machine learning, especially if you can bridge the gap between ...

successfully achieving commercial goals and driving significant growth from a small start. An active, existing network of relationships within at least one major cloud, LLM, or data platform (e.g., Google Cloud, Databricks, Anthropic). A deep understanding of hyperscaler mechanics—specifically how cloud sellers are compensated, how to achieve partner ...

AI Solution Architect - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in ...

will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments. We're particularly interested in engineers who have built AI solutions around document intelligence … enterprise search, knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including LangChain ...

existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats … e.g. code quality considerations, automated testing, source version control, optimization) Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular ...

incident response maturity for your services. Contribute to hiring — interviews, technical assessments, and onboarding of new engineers. Lead the design and delivery of LLM-based capabilities (e.g., OpenAI, Gemini, Claude) within Java services — document extraction, policy summarisation, intelligent routing — including evaluation, guardrails, cost, and latency considerations. Architect retrieval-augmented generation … Azure DevOps, GitHub Actions, or equivalent) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent ...

incident response maturity for your services. Contribute to hiring — interviews, technical assessments, and onboarding of new engineers. Lead the design and delivery of LLM-based capabilities (e.g., OpenAI, Gemini, Claude) within Java services — document extraction, policy summarisation, intelligent routing — including evaluation, guardrails, cost, and latency considerations. Architect retrieval-augmented generation … Azure DevOps, GitHub Actions, or equivalent) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent ...

incident response maturity for your services. Contribute to hiring — interviews, technical assessments, and onboarding of new engineers. Lead the design and delivery of LLM-based capabilities (e.g., OpenAI, Gemini, Claude) within Java services — document extraction, policy summarisation, intelligent routing — including evaluation, guardrails, cost, and latency considerations. Architect retrieval-augmented generation … Azure DevOps, GitHub Actions, or equivalent) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent ...

safety). Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM-Powered Analytics - Prototype LLM-enabled features for summarisation, insight narration, and conversational analytics, and help evaluate what is production-ready. Rapid Prototyping - Turn ideas into … supervision. Strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. ...