76 to 100 of 401 LLM Jobs in London

delivery. The role will involve designing and building MCP servers, AI tools, orchestration Skills, and secure API integrations that expose enterprise systems safely to LLM-powered agents. You'll also contribute to agent planning, tool-calling frameworks, RAG architecture, and the broader developer experience for internal AI platform adoption. ...

rapidly growing business. A brilliant opportunity! The following skills/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options ...

experience with Microsoft Copilot/Copilot Studio Proven experience building AI agents using Azure AI/Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast-paced, delivery-focused projects Desirable ...

experience with Microsoft Copilot/Copilot Studio Proven experience building AI agents using Azure AI/Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast-paced, delivery-focused projects Desirable ...

cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, message queues (Kafka, RabbitMQ), and event-driven systems is highly desirable, along with exposure to AI/LLM integrations. You'll bring strong system design skills, an ownership mindset, and the ability to operate in fast-moving, ambiguous startup environments where speed ...

monthly Talk to users, shape the roadmap: Sit in the trenches with founders on calls that define what we build Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time Own the stack: Python, TypeScript, cloud infra, from commit to production Turn prototypes into production ...

setting technical direction and driving delivery to measurable outcomes Solid understanding of evaluation, reliability and performance in production AI systems Tech stack: Python, modern LLM frameworks, orchestration tooling, and cloud platforms (AWS, GCP or Azure). WHAT'S ON OFFER Up to £120,000 base salary + high-value share ...

month worth of data and user feedback (and counting!) Build out our AI experiences — things like RAG pipelines , multimodal user experiences , and LLM-powered experiences that actually work in production. Embed Ignitus into the flow of work with low-complexity integrations Experiment with the latest models, tools, and APIs ...

Data Scientist – AI/Agentic AI London | Manchester | Edinburgh Long-Term Contract We’re currently hiring experienced Data Scientists for a major enterprise AI transformation programme focused on Generative AI, Agentic AI, Machine Learning, and ...

Director of AI Engineering UK | Hybrid Director Level | Technology Strategy Overview We are seeking a Director of AI Engineering to lead the strategy, design, and enterprise-wide adoption of Artificial Intelligence, Machine Learning, and Intelligent ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

ranking systems, including semantic search, relevance signals, ranking model evaluation, query understanding, and the product challenges of low-confidence and zero-result states LLM product experience with a clear, critical view of where large language models create real leverage — such as query expansion, intent classification, or semantic search, and where ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

highly skilled Data Science Consultants with hands-on experience, ideally including end to end Generative AI (Gen AI) and/or Large Language Models (LLM) development and evaluation. Additionally, candidates should have strong project management and people management skills for higher level roles. In summary they are looking for Data ...

operate at both strategy and execution level Comfortable in high-growth, ambiguous environments Differentiators (Nice to Have) Experience with agent-based systems or LLM-powered workflows Exposure to ethical AI and model governance frameworks Product or UX sensibility in customer-facing financial tools Experience scaling teams in early-stage ...

Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record designing and implementing AI solutions in enterprise settings Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI), and data pipelines Experience collaborating ...

. AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP LLM Top 10 and Agentic AI threats . Familiarity with NIST AI RMF is a massive plus! Your Mission: Identity & Access Specialist As our Identity Lead ...

data pipelines that ingest provider APIs into our analytics datastore Improving the agent platform and executor with better error handling, observability, and speed Making LLM interactions more efficient through prompts, snippets, and tooling Improving internal developer experience and platform tooling Helping take an early MVP into a production-grade platform ...

Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF . Role 1: Identity Expert Mission: Secure the "Human-to-Agent" and "Agent-to-Resource" identity chain. Key Tasks ...

Postgres Redis Async processing and queuing (Celery, RabbitMQ, SQS) Event-driven architecture CI/CD pipelines What You'll Work With Python backend services LLM orchestration layers Vector databases (Pinecone, pgvector or similar) API integrations (CRMs, property systems) TypeScript React Next.js Nice to Haves Voice and telephony systems (Twilio ...

operationalise what the client needs. 3. Shape and deliver training: You help build and run the one-day AI Mastery Bootcamp (covering LLM fundamentals, prompting, finance-specific plugins, MCP connectors, agent building). You’ll alsocontribute to the ongoing platform courses and develop the extended programme. You are not just ...

background in software engineering principles and best practices Hands-on experience with Python in production environments Proven work with RAG frameworks , vector databases, or LLM integrations Experience designing or implementing agent-based AI systems 🌍 Why Join Us? Work on real-world AI systems that deliver measurable value High autonomy ...