76 to 100 of 150 LLM Jobs in Central London

founder. - AI-native daily workflow: Claude Code, Cursor, Codex, or similar tools are an established part of how you work. - You've integrated LLM APIs (Anthropic Claude, OpenAI, or similar) hands-on, ideally in a customer-facing or product context. - Native or near-native English. The vast majority of customer ...

stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency … machine learning models in enterprise cloud environments Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using ...

stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency … machine learning models in enterprise cloud environments Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

Graduate Machine Learning Engineer Intellect Group | London, UK (Hybrid) | £35,000 – £45,000 About the Opportunity Intellect Group is actively recruiting Graduate Machine Learning Engineers on behalf of high-growth technology and AI-first companies ...

help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM-powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into … life assurance and a flexible benefits package If you're already working in AI and want to spend more time building modern, production-ready LLM and agentic AI solutions using one of the strongest Azure AI stacks available, this role offers the chance to make a genuine impact while continuing ...

work across the full stack and should enjoy building AI-native systems in fast-moving, early-stage environments. Key Responsibilities • Design, build, and ship LLM-driven and multi-agent systems for strategy generation, market intelligence, and quantitative research. • Develop evaluation, experimentation, and monitoring frameworks for models and agents in production. … model robustness, inference performance, and operational reliability. Key Skills and Experience • 5+ years in data science or ML engineering, with recent applied AI/LLM experience. • Strong Python and modern AI stack: PyTorch, Hugging Face, LLM serving (vLLM, SGLang), agent frameworks (OpenAI Agents SDK, LangGraph), and provider APIs (OpenAI, Anthropic ...

work across the full stack and should enjoy building AI-native systems in fast-moving, early-stage environments. Key Responsibilities • Design, build, and ship LLM-driven and multi-agent systems for strategy generation, market intelligence, and quantitative research. • Develop evaluation, experimentation, and monitoring frameworks for models and agents in production. … model robustness, inference performance, and operational reliability. Key Skills and Experience • 5+ years in data science or ML engineering, with recent applied AI/LLM experience. • Strong Python and modern AI stack: PyTorch, Hugging Face, LLM serving (vLLM, SGLang), agent frameworks (OpenAI Agents SDK, LangGraph), and provider APIs (OpenAI, Anthropic ...

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 capital markets topics such as securities pricing, IPO structuring, syndication processes, and fixed income analytics. Create rubrics to assess model capabilities on tasks like ...

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 ...

Owning the end-to-end lifecycle of Machine Learning models, from deployment through to monitoring and optimisation. Driving the adoption of Generative AI and LLM-powered capabilities across customer-facing products. Partnering with Product, Engineering and MLOps teams to deliver scalable AI solutions. Leading and developing a team of Machine ...

etc.) Proven track record of automating and improving support functions Comfortable in high-pressure, front-office-aligned environments Interest or exposure to AI/LLM tooling (bonus) Why This Role Direct impact across trading and post-trade operations Blend of support, automation, and engineering ownership Exposure to AI-driven initiatives ...

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 ...

.jsNext .jsTailwind CSSRadix UIReact Motion/Framer Mot ionREST A PIsModern Cloud Infrastruct ureAI-powered product integrations and workfl owsExposure to AI-enabled products, LLM integrations, or agentic workflows would be highly beneficial but is not essenti al. What We're Looking For4+ years of software engineering experience within product ...

AI Engineer Remote (Company based in London, UK) AI SaaS | Generative AI | Productivity Platforms For one of our clients, a fast-growing AI technology scale-up based in London, we are looking for an AI ...

AI Engineer Remote (Company based in London, UK) AI SaaS | Generative AI | Productivity Platforms For one of our clients, a fast-growing AI technology scale-up based in London, we are looking for an AI ...

Role: Full Stack Commerce Engineer Level: Consultant Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms ...

Deploying AI is only the beginning. Organisations increasingly require operational leaders capable of ensuring AI systems remain secure, observable, reliable and effective once in production. Role Overview Establish AI operational processes and standards Monitor model ...

like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage, scaling, and data movement ️ Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa ...

providers: CCaaS & Enterprise CRM: NICE CXone Mpower, Salesforce Agentforce, Talkdesk Autopilot, Genesys Cloud CX, Five9 Genius AI, Vonage Contact Center, Amazon Connect Agentic AI, LLM Orchestration & Copilots: Cresta, Retell AI, Kore.ai XO, Sierra, Decagon, Google Cloud CCAI If you are ready to shape the future of the service industry ...

Design and evolve secure AI architecture roadmaps , ensuring alignment with broader technology and security strategies Lead the secure design, implementation, and governance of AI, LLM, and Agentic systems Develop and embed AI security standards, policies, and best practices across the organisation Conduct and maintain threat models and risk assessments ...

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 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 quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options ...

What they're looking for: Experience building data intensive products or platforms Comfort operating across both frontend and backend systems Exposure to AI products, LLM integrations, or intelligent automation workflows Someone who enjoys ambiguity, autonomy, and ownership A builder who wants meaningful influence over product, technology, and company direction ...