101 to 125 of 198 LLM Jobs in the City of London

About the Role We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading. On their AI team, you’ll build More ❯

Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. More ❯

and having operated in their space for several years, they have a strong foothold in the market. Essentials: Deep understanding of NLP and commercial experience in building and deploying LLM solutions. This place has a high technical bar, so solid Python skills are a must. Experience with agentic frameworks and familiarity with agentic systems – LangChain, LangGraph, AutoGen, etc. Commercial experience … deploying LLM applications to production (this isn’t a research role). Experience taking the lead on projects from a "tech lead" perspective (only relevant for one of the roles). Bonus – any experience with knowledge graphs or graph databases like Neo4J. Benefits: Base salary of up to £110k. Equity package. Performance bonus. Private healthcare. Career path to Lead ML More ❯

What You’ll Be Building You’ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across … You’ll Need 1–3 years of professional software engineering experience — ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines More ❯

of the spring batch's "Top-10 AI agent startups" by Business Insider. We're looking for a full-stack engineer with hands-on experience in building and deploying LLM-based products from scratch. You'll develop multi-agent systems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle. … Postgres, etc. Experience with React, FastAPI, or other common web frameworks. An understanding of core concepts in ML, data science and MLOps. Nice-to-Have : Built agentic workflows/LLM tool-use. Experience with MLFlow, WandB, LangFuse, or other MLOps tools. Experience with AirFlow, Spark, Kafka or similar. Why Plexe? Hard problems: we're automating the entire ML/AI More ❯

Ensure secure, compliant data handling What you need: 5+ years backend experience (Python preferred). Strong background in ML, search, or recommender systems. Skilled in vector search, embeddings, and LLM-based RAG. Hands-on with cloud infrastructure (GCP/AWS/Azure). Comfortable in early-stage, fast-paced environments. More ❯

edge generative AI, turning clients' requests into functional, high-quality software through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked More ❯

workers can trust — intuitive, fast, and invisible when they need to be Collaborate closely with design and engineering to continuously improve usability and performance What You Bring Experience deploying LLM and generative AI systems into production Proficiency with Python, containerisation (Docker), and cloud (Azure preferred) Familiarity with RAG, prompt engineering, chaining, and performance evaluation A builder mindset - pragmatic, curious, and More ❯

🌍 Consumer AI | London | AI Engineer/Data Scientist A fast-moving insights & analytics startup is searching for an AI Engineer/Data Scientist to help build cutting-edge data science solutions powered by digital consumer signals. The team works with More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing AI consultancy that’s focused on Gen AI advancements? This self-funded scale-up supports leading enterprises to design and build bespoke, production-ready AI applications More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

Job title: Operations & Technology Coordinator Location: London (Hybrid) Contract: End of the year The Mission: In collaboration with the Senior Manager of Technology and Operations, you will be responsible for executing a range of tasks and initiatives that support the More ❯

🌍 Consumer AI | London | ML Engineer A fast-moving insights & analytics startup is searching for an ML Engineer to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning More ❯

code quality, correctness, and maintainability. Proficient with code review processes and reading diffs in real-world repositories. Exceptional written communication skills to articulate evaluation rationale clearly. Prior experience with LLM-generated code or evaluation work is a plus. Bonus Points Experience in LLM research, developer agents, or AI evaluation projects. Background in building or scaling developer tools or automation systems. More ❯

Product TDL are working with a Series A, ambitious start-up who are tackling manual admin heavy tasks across Fintech, Insurance and other surrounding sectors via their AI/LLM powered products. They are on the hunt for 2 new Developers to join the London based Engineering team. You'll ideally have experience using most of the following stack: Backend … Python, Flask/FastAPI Frontend: React with TypeScript Infra: Terraform, GCP/AWS Ideally you'll have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have commercial experience in this area alongside the above product stack. Engineering team is relatively flat under the CTO with Mid through to Staff Engineers all contributing More ❯

Do you have a passion for building modern AI products utilising LLM's/Gen AI? This could be for you 🙌. Let me start with a snapshot of the role: Role : Senior Software Engineer (AI product) Stack : TypeScript, RoR, GraphQL, PostgreSQL n.b - most of the engineering team didn't know RoR before joining, so no worries if you don … modernise and stay ahead of the curve, so they're seeking a strong SWE with a passion for AI to help them on this journey. You could be an LLM wizz, you could've scaled AI products, you could've created some personal projects - you just need to be passionate about everything Gen AI. In this role you'll be More ❯

language models. We're looking for a software engineer who can design, build, and deploy AI systems end-to-end — especially those involving retrieval-augmented generation (RAG) , embeddings, and LLM orchestration. This is a hands-on role with real impact and ownership. 🔍 What You'll Work On Architect and implement RAG pipelines that combine vector search, custom retrievers, and LLM … reasoning Own the evaluation stack — design eval harnesses, benchmarks, and regression tests for LLM outputs Build and scale infrastructure for deploying models and agents into real production environments Experiment with model behavior, latency trade-offs, and prompt tuning Collaborate closely with founders on product, architecture, and research priorities ✅ Core Requirements Proven experience building AI systems with LLMs — you’ve worked … Qdrant), and retrieval logic Strong Python engineering skills — you write clean, production-ready code with tests Experience building and evaluating RAG pipelines in a real-world setting Familiarity with LLM evaluation techniques — you don’t deploy until you’ve tested against real metrics Solid understanding of modern cloud infrastructure (e.g., Docker, Kubernetes, serverless, GCP/AWS) 💡 Bonus Skills Built custom More ❯

AI Engineer – London (Hybrid) - Up to £70,000 per annum - 3+ years in AI/ML development, Python & LLM expertise 💼 Ready to redefine the future of AI? numi is thrilled to collaborate with an early-stage startup dedicated to transforming enterprise AI. Join us and take a pivotal role in advancing large language models (LLMs), from developing foundational models to … in frontend development using React and Tailwind CSS. Skilled in managing large databases like PostgreSQL. Familiarity with container orchestration tools such as Docker and Kubernetes. Hands-on experience with LLM libraries like LangChain, LangGraph, LlamaIndex, or Ollama. But most importantly, you're driven by a passion for AI innovation and thrive on solving complex challenges. 🤖 🎉 Why This Role? This is More ❯

backend, ML service, ML infrastructure, and data pipelines. Fine-tune and deploy large language models for patent search, analysis, drafting, and other intellectual property workflows. Evaluate and improve large language model outputs for quality, relevance, and accuracy. Develop and optimise search retrievals and ranking models for large-scale patent and technical literature datasets. Productionise ML models within AWS , including deployment More ❯

large language models. The product is already live with paying customers, and the company is well-funded with serious growth ambitions. What you'll work on: Architecting and scaling LLM-powered applications Building efficient inference pipelines and backend infrastructure Working across the stack to ship production-grade code fast Collaborating directly with the founders and early technical hires What they More ❯

drive technical excellence across research and production environments. Ideal Profile 5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g. More ❯

the company is well-funded with serious growth ambitions. What you'll work on: Technical Expertise & Development (Python and Typescript) Python expert with experience in PostgreSQL databases. Experience with LLM-powered application architecture and developing efficient inference pipelines and backend infrastructure. Nice to Have (if front end leaning) Familiarity with UI/UX design tools (e.g., Figma) and WYSIWYG HTML More ❯

deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware More ❯

The opportunity is located in Turin, Italy. AI4I provides relocation packages for candidates moving from abroad The Italian Institute of Artificial Intelligence for Industry (AI4I) and Leonardo Spa, an international industrial group, among the main global companies in Aerospace, Defence More ❯

people to join our ever-growing talented team. We’re spinning up a brand-new AI department and need a first-on-the-ground engineer who can turn wild LLM ideas into working demos overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold … in code reviews, architectural discussions, and sprint planning to deliver features end-to-end. Requirements: Master’s degree in AI and/or Computer Science; Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain … in business terms. Nice-to-have: Familiarity with database systems (PostgreSQL, MongoDB) and caching layers (Redis); Open-source contributions or published AI demos; Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs; Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE); Willingness to travel occasionally for team offsites or workshops. More ❯