26 to 50 of 105 LLM Jobs in the City of London

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 ...

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 ...

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 ...

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 ...

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 ...

platform best practices Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI Develop prompt chains , agent tools, and custom modules that support reasoning, summarization, and multi-step … experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such as LangChain , LangGraph , CrewAI , ReAct , or similar Understanding of LLM orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service ...

immediate. You'll need at least five years in software engineering with strong Python skills. More importantly, you've already implemented GenAI or LLM-based solutions into production. You know what works, what doesn't, and why. The base salary goes up to £160k, and you're joining a hedge ...

early-stage startups, influencing product strategy User-problem focused, not purely technical solution-oriented Experience scaling TypeScript codebases Comfortable building AI agents or LLM-powered systems beyond simple prompting High attention to detail and pride in engineering craft Comfortable operating in ambiguity and moving quickly Bonus points for: Academic ...

consulting industry, either as a consultant or by supporting consulting teams in a technical capacity. Strong technical proficiency in NextJS, TypeScript , and LLM frameworks (e.g., Pydantic, LangGraph). Comfortable working with Python and familiar with modern cloud infrastructure (AWS, Terraform, PostgreSQL, Modal). Ability to create intuitive, polished user interfaces ...

across the Fortune 500, we provide the critical infrastructure that engineering teams use to de-couple development from fragile dependencies. As AI agents and LLM-integrated apps redefine the SDLC lifecycle, WireMock is building the simulation layer required to develop, test, and onboard at the speed of autonomous code. ...

trade-offs Product sense and the ability to think beyond ticketsWillingness to work mainly from the London office Optional Bonus Experience with AI products, LLM workflows, or agent-style systems Exposure to data-heavy platforms, ontology layers, or workflow orchestration Shortlisted candidates will be contacted within 48 hours. ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

including AI services) and the ability to integrate with common business systems (e.g., CRM/marketing automation) via APIs/connectors. Experience using leading LLM platforms (e.g., Claude, ChatGPT) to support workflow implementation including prompt design, skills, memory, evaluation, and safe handling of sensitive information. Evidence of AI solutions that ...

reliability. Collaborate with technical and business teams to deliver AI solutions. What you will bring: Strong experience in AI/ML engineering, MLOps, and LLM application development. Advanced Python skills with hands-on experience using PyTorch or TensorFlow. Experience building RAG pipelines, working with vector databases, prompt engineering, and LLM ...

JOB PURPOSE: We are seeking a Senior Product Manager to own and evolve our AI, Data & Digital services portfolio for both financial services and corporate clients. This strategic role focuses on proposition design and portfolio ...

AI Architect (Generative AI/Agentic AI/LLMs) Location: London (2 days onsite a week) Salary: £80,000 £95,000 + bonus + benefits Build and scale real-world AI not just proofs of ...

production impact Typical roles include: AI Research Scientist Machine Learning Engineer Applied AI Engineer Computer Vision Researcher Speech/Audio AI Researcher NLP/LLM Researcher Robotics Researcher/Engineer Multimodal AI Scientist If you are an AI PhD looking to explore opportunities with innovative startups, or you know someone ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization. Create rubrics to assess model capabilities on tasks like ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth-stage company valuation, unit economics analysis, and investment memo writing. Create rubrics to assess model capabilities on tasks ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. Create rubrics to assess model capabilities on tasks ...

that demonstrates both product thinking and conversational design capability Strong interaction design skills, particularly across multi-step and dynamic experiences Understanding of AI/LLM-driven experiences and how they shape product behaviour Confidence working cross-functionally and influencing product direction High proficiency in Figma and modern design tools (experience ...

/AI systems end-to-end Understand how kernel-level gains translate to wall-clock improvements in production. Build the infrastructure that lets LLM agents iterate unsupervised for days - compilation, correctness, benchmarking, scoring, lineage tracking... Design the evolutionary search - fitness landscapes, variation operators, population management, selection pressure, stagnation detection, exploration ...