351 to 375 of 2,260 LLM Jobs in London

used to enhance and automate cyber security capabilities. The ideal candidate will have a strong security architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This ...

used to enhance and automate cyber security capabilities. The ideal candidate will have a strong security architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This ...

teams. Hands-on experience building and deploying practical technology solutions in complex enterprise environments. Strong understanding of modern AI systems and agentic workflows including LLM integration , retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows. Ability to analyse complex workflows, simplify ambiguity and translate business ...

Rest Assured. Proven experience integrating automated testing into CI/CD pipelines, including quality gates, test reliability, and automation optimization. Exposure to AI/LLM or Agentic AI testing, including evaluation frameworks, non-deterministic testing, and automated quality assurance for AI-powered applications. Bachelor's degree in Computer Science, Software ...

architectural problems. You’ll also help develop the platform’s growing AI and machine-learning capabilities, including extracting value from unstructured data and supporting LLM-powered ingestion, reconciliation and reporting workflows. But the foundation comes first: clean data, robust architecture and reliable production systems. You’ll probably enjoy working here ...

lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, LLM agent pipelines, ML models. Deploy, manage and support on-premise deployments of Circuit Mind’s software. Learn, use, and improve best practices and processes ...

Experience Exposure to React or React Native, particularly where APIs support web or mobile products. Experience with retrieval-augmented generation, vector search or integrating LLM-based features into production products. Experience working in a scale-up, transformation programme or small permanent technology team. Salary: c£65,000-£75,000, with ...

Experience Exposure to React or React Native, particularly where APIs support web or mobile products. Experience with retrieval-augmented generation, vector search or integrating LLM-based features into production products. Experience working in a scale-up, transformation programme or small permanent technology team. Salary: c£65,000-£75,000, with ...

operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from ...

workflows with SAST, DAST, policy enforcement, and performance telemetry; Experience improving reliability and resilience through SLOs, error budgets, and chaos engineering; Working knowledge of LLM‐based services and AI infrastructure, including deploying, securing, and operating AI Gateways and services; Passion for building secure, scalable, and reliable systems and helping others ...

whether the right answer is AI, conventional automation, an existing product or a wider process change. Designing, building and deploying production AI applications. Developing LLM applications, RAG solutions, agentic workflows and process automation. Integrating solutions with existing APIs, databases, CRMs, document stores and operational platforms. Introducing appropriate evaluation, monitoring, security ...

streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. Identifyopportunities toconsolidatecapabilities, reduce duplication ...

technical mentor and design authority across the wider team. A core part of this role is leading our adoption of AI within operations — using LLM-based tooling, agentic workflows, and automation to reduce toil, accelerate incident response, and raise the operational leverage of the whole department. We're not looking ...

dependencies and moving artefacts across the boundary. Good instincts on secure development, authentication, authorisation and secrets management. Putting AI or ML models into production, LLM features included. Infrastructure as code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures ...

dependencies and moving artefacts across the boundary. Good instincts on secure development, authentication, authorisation and secrets management. Putting AI or ML models into production, LLM features included. Infrastructure as code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures ...

founding engineer or in a forward deployed engineer/dedicated customer engineer role. Experience working cross functionally with operations. Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems. Proficient in Arabic. ***PLEASE NOTE:Our policy requires ...

systems for document analysis Develop customer-facing features, internal tooling and DevOps infrastructure to support our growing platform Collaborate with AI engineers to integrate LLM capabilities into production-ready software systems Build robust, scalable backend systems using modern technologies and cloud infrastructure Create intuitive user interfaces that allow legal professionals ...

day. Curious, self-directed, and willing to learn a domain properly rather than skate over it. Preferred skills & experience Familiarity with MCP, or with LLM tooling such as LangChain, Claude or the OpenAI APIs. Python or similar for data integration and API work. REST APIs, JSON, OpenAPI specifications, Snowflake ...

genuine appetite to build something. We're particularly interested in evidence that you have: Deep technical expertise in modern AI engineering, particularly LLM-based systems, RAG, agentic or multi-agent architectures, vector databases/embeddings and AI evaluation. Taken AI or ML solutions from prototype through to reliable production use. ...

migration activitiesCollaborationWorking with Data Engineers, Data Scientists, and Platform TeamsTechnical documentation and knowledge transferAgile delivery experienceDesirable SkillsPOSIT/RStudio migration experienceAI/ML and LLM integrationRAG and Vector Database exposureRegulated industry experienceWe are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under ...

same day. Curious, self-directed, and willing to learn a domain properly rather than skate over it. Preferred skills & experienceFamiliarity with MCP, or with LLM tooling such as LangChain, Claude or the OpenAI APIs. Python or similar for data integration and API work. REST APIs, JSON, OpenAPI specifications, Snowflake ...

frontend technology stacks: We use the latest Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL to name a few technologies OpenAI & Claude for LLM interfacing We are not wedded to them and will rapidly evolve over the next 3-6 months with the right technologies Has worked in complex ...

Specialism You will bring expert‐level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production‐grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM‐powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to‐end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

Leave offerings #LI-EU SNGCR01 Required — Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning … production — not just experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills — you debug fast and think in systems Comfortable working with messy, incomplete requirements ...

Leave offerings #LI-EU SNGCR01 Required — Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning … production — not just experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills — you debug fast and think in systems Comfortable working with messy, incomplete requirements ...