226 to 250 of 2,311 LLM Jobs in London

state of the feature at any point. 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 ...

igaming, fintech, or financial services. Hands‐on n8n experience for production workflow automation. Familiarity with MCP (Model Context Protocol) or similar frameworks. Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation. Working knowledge of vector databases, embedding models, and semantic search. Experience with coding assistants (GitHub Copilot, Cursor ...

audiencesCollaborative, enablement-focused mindset: you build for self-service, not dependencyDesirableExperience applying statistical or predictive techniques to a business problemExposure to AI product development, LLM tooling, or data applicationsExperience with data quality frameworks, semantic layers, or data observability toolingPrior experience working with HR, people, or workforce dataAdditional InformationBring ...

with bug bounty, penetration testing or security testing programmes. Experience with Splunk or similar logging/SIEM platforms. Exposure to AI security, such as LLM-enabled applications, AI-assisted development workflows or prompt/data leakage risks. Experience building dashboards, metrics or reports to support vulnerability management. Relevant security certifications ...

testing, CI/CD, DevOps and live database migrations, alongside a working understanding of security, data protection and GDPR. Desirable: experience building or evaluating LLM features, including retrieval, embeddings, vector search, agent orchestration and evaluation frameworks. Desirable: experience with OpenSearch/Elasticsearch, Docker, Kubernetes or event-driven architecture, plus front ...

complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two‐Sided Marketplaces , specifically handling ...

complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces , specifically handling ...

oversee integration quality, and ensure delivery teams adhere to high standards of enterprise performance, security, and scalability.Agentic AI Implementation: Direct the practical implementation of LLM orchestration, Retrieval-Augmented Generation (RAG), and "Human-in-the-Loop" (HITL) workflows on live customer projects.Standardization & Playbooks: Package learnings, custom connectors, and architectural patterns from ...

fantastic opportunity to help shape the organisation's AI strategy and capabilities. The following skills and experience are essential: Strong experience working with LLM technologies and Generative AI applications. Hands‐on experience designing and implementing advanced RAG systems. Experience building Agentic AI solutions and AI‐driven automation workflows. Knowledge ...

that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role ...

defect management tooling such as Jira or Azure DevOps. Good technical understanding of web applications, APIs and modern application architectures. Experience testing Generative AI, LLM or RAG solutions would be highly desirable. Understanding of AI evaluation concepts including groundedness, relevance, hallucination testing and retrieval quality. Strong analytical, problem-solving ...

delivering impact. Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers. Experience building AI-powered applications with LLM integrations. Experience in high-performance startups or enterprise AI environments. Sharp eye for UI/UX design and having built intuitive, AI-driven interfaces. Experience ...

research and experimentation Desirable Skills Master's degree or PhD in a relevant field Machine learning research experience Experience evaluating AI systems or LLM performance Familiarity with cloud environments such as GCP Knowledge of modern software development practices Experience working with open-source AI models Interest in cyber security, threat ...

into solutions that can be adopted more widely across the organisation. Qualifications Strong software engineering background with modern AI technologies. Hands‐on experience building LLM‐powered systems in production, including agents, RAG pipelines, MCPs, tool‐use and multi‐step workflows. Familiarity with frameworks such as LangGraph, Pydantic AI or similar. ...

Foundry and wider Microsoft AI technologies. You dont need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. Youll have scope to develop that experience alongside your core Data Engineering work. Package and working ...

into production. Strong Python skills and experience developing backend services, APIs and data pipelines; SQL experience would be valuable. Hands-on experience with LLM applications, including areas such as agent workflows, tool use, retrieval or RAG, and connecting models to trusted data. Experience deploying and operating applications on a major ...

Foundry and wider Microsoft AI technologies. You don't need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. You'll have scope to develop that experience alongside your core Data Engineering work. Package ...

experience in performance tuning.* Track record of designing and building systems for high throughput and low latency.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC automation.* Solid understanding of middleware and messaging technologies such as Chronicle Queue, RabbitMQ, Aeron, and Kafka.* Working knowledge of Spring ...

data analysis and an appreciation of wider data science techniques,sufficient to collaborate credibly with Data Scientists and Actuarialcolleagues. Hands-onexperience applying AI and LLM tooling to analytics work (such as Copilotfor Power BI/Fabric, MCP-style integrations or agentic assistants). Experiencewith Microsoft Fabric, dbt, Azure DevOps/ ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

messaging technologies such as Kafka, RabbitMQ, or Solace.* Solid understanding of Spot, Futures, and Options markets.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC automation.* Familiarity with Git/GitHub, JIRA, Confluence, and CI/CD practices.* Bachelor's degree in Computer Science ...

quantitative field, or equivalent experience [Preferred] Specific experience with LLMs and agentic systems [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy ...

Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident Employer (Level ...