76 to 100 of 232 LLM Jobs in the City of London

Will Bring 2+ years as an engineer with a track record of fast, production-grade code shipping. Applied LLMs - Experience deploying multimodal foundation model-based products. Deep knowledge of LLM research, agents, tools, and function calling. Deploying LLMs - Experience with LangChain, indexing, RAG, semantic search, and fine-tuning (SFT/RL) of LLMs/agents. Why Join More ❯

ll evaluate (and you'll operate) through this lens: 1) Product Strategy – choose the right problems and move the right metrics Own a core outcome (e.g., activation, early retention, LLM reliability) with a clear thesis and roadmap Tell a metrics story: define baselines, leading indicators, and the sequence of bets to get from A → B Think in systems: map the More ❯

with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For Strong engineering background (ideally 5+ years). Proven experience shipping production LLM systems . Hands-on experience with agentic/multi-step reasoning AI . Familiar with modern AI tooling . Product-first mindset and excited about early-stage startup ownership . More ❯

world problems with the latest in AI and 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 backend and More ❯

world problems with the latest in AI and 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 backend and More ❯

Familiarity with design systems and component libraries • Strong understanding with modern cloud environments and CI/CD pipelines • Interest or hands-on experience with AI tools or other relevant LLM development tools Nice to have • Background in data-driven or blockchain-based products • Experience with data visualisation (D3.js, Chart.js) or GraphQL • Interest in performance optimisation and developer tooling 📍 London (Hybrid More ❯

lean backend-heavy You're excited about AI and tackling hard, real-world problems You have strong product judgment and love working directly with users Bonus: you've shipped LLM features to production Why join: Legal is about to be transformed by AI. You'll be at the heart of it as a founding engineer at a well-funded, fast More ❯

world AI systems that are safe, compliant, and trustworthy. You’ll work closely with experienced AI engineers, data scientists, and product specialists to design, build, and deploy AI and LLM-driven applications on AWS that help organisations comply with emerging AI regulations, including model risk, auditability, and responsible AI practices. What You’ll Be Doing: Designing, developing, and deploying machine … learning and AI models used in compliance and risk workflows on AWS Building LLM applications (e.g. GPT, LLaMA, Claude) that automate policy checks, documentation, and audit trails Implementing end-to-end AI workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Developing scalable pipelines and APIs for AI services using AWS-native infrastructure (e.g. Lambda … e.g. Node.js backends, React frontends, or internal tools) Hands-on exposure to AWS (e.g. EC2, S3, IAM; bonus points for Lambda, ECS/EKS, SageMaker, or Bedrock) Familiarity with LLM frameworks and tooling (e.g. LangChain, vector databases, RAG pipelines) is highly advantageous Genuine interest in AI compliance, governance, and emerging regulation (e.g. EU AI Act, model risk, responsible AI) Strong More ❯

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the More ❯

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the More ❯

business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building … scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/ More ❯

with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For Strong engineering background (ideally 5+ years). Proven experience shipping production LLM systems . Hands-on experience with agentic/multi-step reasoning AI . Familiar with modern AI tooling . Product-first mindset and excited about early-stage startup ownership . More ❯

world problems with the latest in AI and 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 backend and More ❯

systems. Strong collaboration skills with engineers, product managers, and researchers. Ability to distill complexity into simple, intuitive experiences . Nice to Have Experience with AI agents, automation flows, or LLM-driven products . Background in motion/interaction design for communicating system intelligence. Familiarity with prompt design, conversational UX, or multi-agent workflows. Knowledge of accessibility and inclusive design for More ❯

Apply AI-assisted tooling and automation throughout the development lifecycle — from code generation and testing to deployment and optimisation. Lead innovation by evaluating and integrating new AI frameworks and LLM-based tools into the engineering workflow. Champion best practices in accessibility, privacy, and performance while maintaining clean, modern, and secure codebases. What You’ll Bring Strong background in front-end More ❯

projects. Daily shipping. We care a lot about product velocity and tend to push updates several times a day. Work with a modern tech stack. (NextJS, Vercel, Planetscale, Inngest, LLM Agent frameworks) Autonomy: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. What you’ll do: Build full-stack features using More ❯

and consultancy to our clients to help them improve their own internal capabilities, their set-up and operating model. Continue to explore and progress how we integrate AI/LLM’s and Agents into our workflows to improve the quality and efficiency of our work. You’ll be Excellent in front of clients and working closely with client teams. Passionate More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps More ❯

GET THE FUTURE YOU WANT! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around More ❯

Job Title: Solutions Engineer Location: London (Hybrid – 3 days per week) Salary: £60,000 + bonus and perks About Our Client Our client is a global network of life-saving technology companies, united by a mission to create a safer More ❯

The Client Tempest Vane Partners is working with a world-renowned quantitative investment firm redefining the intersection of finance and artificial intelligence . Their Applied AI team sits at the core of this mission, building intelligent systems that transform how More ❯

AI | Human + Machine Innovation We’re working with a high-performing global investment firm that’s building out its internal AI platform — applying cutting-edge large-language-model (LLM) technologies to real-world research and data challenges. They’re now looking for an AI Research Engineer who can turn emerging AI ideas into working products. This is a hands … someone who codes with intent, prototypes quickly, and loves exploring what’s next in the AI ecosystem. What You’ll Do Design, build, and maintain AI research infrastructure – custom LLM pipelines and tools. Optimise LLM serving and inference for latency, reliability, and cost-to-intelligence. Prototype new approaches using Claude Code, Cursor, Windsurf, Copilot , or similar tools. Work directly with … human insight to drive performance. What We’re Looking For Strong Python skills and solid understanding of data manipulation. Experience experimenting with or building on AI coding assistants/LLM tooling . Portfolio of personal, academic, or open-source projects that demonstrate creativity and curiosity. A degree in Computer Science, Engineering, or a related field . High-performance mindset: proactive More ❯

C or other architectural patterns Familiarity with dependency injection concepts Experience with offline caching strategies Familiarity with launching apps for TestFlight or the App Store Interest in AI/LLM tech What we offer: Mentorship from AI industry experts Prime office location with skyline view Networking opportunities in the AI ecosystem More ❯

finance services business builds, deploys, and adopts AI across the business. Expect hands-on engineering, real problem solving, and plenty of collaboration as you help architect, automate, and operationalise LLM-driven services at scale. What You’ll Be Doing: Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components, including prompt orchestration … CI/CD pipelines using Azure DevOps Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations Supporting benchmarking, evaluation, and experiment tracking to measure LLM performance and cost Contributing to RAG implementations and vector-driven retrieval patterns Helping shape platform patterns, reusable components, and clear documentation Troubleshooting performance issues across distributed systems and cloud services … What You’ll Bring: 5+ years of backend engineering experience, with strong Python at the core Hands-on exposure to GenAI technologies and Large Language Models Practical understanding of LLM evaluation, prompt handling, and operational complexities A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight More ❯