176 to 200 of 401 LLM Jobs in London

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 ...

wait to be told what to do Bonus points Worked at a dev tools or infra company Know the AI/LLM ecosystem and what an AI gateway does Been a founder or employee #1 to #10 before Have opinions about PLG, pricing, and developer experience ...

High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: Opportunity to work on cutting-edge AI projects with leading LLM companies. Competitive compensation. Flexible, fully remote work arrangement. Learn how to use AI to advance the legal field. Offer Details: Commitment: Flexible ...

High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: Opportunity to work on cutting-edge AI projects with leading LLM companies. Competitive compensation. Flexible, fully remote work arrangement. Learn how to use AI to advance the legal field. Offer Details: Commitment: Flexible ...

want to build production AI systems used by millions of insurance customers? Have you deployed LLM applications into complex enterprise environments before? Are you ready to help scale a growing GenAI function inside one of the UK’s biggest insurers? A major UK health and life insurance provider is hiring … building production-grade AI applications across underwriting, customer journeys, internal operations, and sales enablement. The role sits within a growing AI team delivering live LLM applications and intelligent automation systems. You’ll work on high-impact products with strong internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary ...

Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML/AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical … Desirable Technologies GCP/Vertex AI Gemini Python AI Agents/ADK Machine Learning Frameworks APIs & Microservices Docker/Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term ...

looking for AI operators who ship — not experiment. This is an opportunity to join a major AI build focused on deploying real-world LLM and agentic systems at scale across both AI products and enterprise transformation initiatives. You’ll be working in a production-first environment where the emphasis … Making pragmatic decisions balancing model performance, latency, and cost efficiency Core Requirements Strong Python skills with experience writing production-grade code Proven experience deploying LLM-powered systems into production environments Hands-on experience with LangChain, LangGraph, or equivalent orchestration frameworks Experience building AI agents and agentic workflows with tool usage ...

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 ...

interesting Real autonomy. We are a small team. You will scope, build, deploy, and own systems end-to-end. AI in production. We run LLM pipelines processing thousands of company disclosures for institutional investors. Cost, latency, and reliability are real constraints. Technical breadth. Infrastructure, full-stack product work … client deliverables. Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design. Contribute to technical decision-making ...

Principal Data Scientist page is loaded## Principal Data Scientistremote type: On-Sitelocations: UK, Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: R0018598**Job Type:**Permanent**Build a brilliant future with Hiscox**Position ...

The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high ...

Systems . This isn't just about standard predictive modeling—you’ll be building autonomous agents that reason and execute, leveraging the latest in LLM fine-tuning, RAG pipelines, and scalable MLOps. The Core Mission Architect & Build: Design and implement AI algorithms and architectures, moving from raw concepts to robust … frameworks. Agentic Systems & LLMs: Develop intelligent AI agents capable of reasoning and planning. Expertly handle LLM fine-tuning (PEFT, LoRA, QLoRA) and RAG pipelines. Data Orchestration: Build ETL/ELT pipelines and feature engineering workflows to integrate structured and unstructured data into centralized platforms. End-to-End MLOps ...

implement backend services and APIs using Python, FastAPI, and Django Build and maintain scalable RESTful APIs with PostgreSQL Develop and integrate AI/LLM-powered features using frameworks such as LangChain Implement and manage payment systems, including Stripe integrations and subscription flows Build image processing and computer vision pipelines Write … code) Experience with BaaS platforms such as Supabase or Firebase Ability to thrive in fast-paced, high-ownership environments Nice to Have Experience with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and LangChain Background in AI/ML (e.g., generative models, GANs, diffusion, regression) Experience building data pipelines and data-driven ...

Founding AI Software Engineer | Global Media | London/Yorkshire | The Opportunity Join a newly formed AI team acting as an internal incubator for a highly established, global media and technology group. We are reinventing how ...

excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work … Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability: Utilise LLM APIs for advanced context engineering on unstructured data, while using models such as SHAP to ensure that every model we build is fair, free from bias … similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong ...

**About the context**The Principal Architect - Intelligent Automation drives the strategic technology roadmap and high-level design for Intelligent Automation (Low Code, Digital Automation, Conversational AI and Agentic AI) within the global corporate domains. In ...

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to ...

based data platforms, workflow automation, and emerging AI-assisted technologies, with exposure to projects involving intelligent document processing, operational automation, and practical applications of LLM tooling within the business. This is an excellent opportunity for someone who enjoys combining strong Data Engineering fundamentals with modern automation technologies in a highly … Contribute to AI-assisted and intelligent workflow projects involving structured and unstructured data processing. Work with modern automation tooling and explore practical applications of LLM technologies within operational processes. Collaborate with stakeholders to identify opportunities for process optimisation through automation and data-driven solutions. Data Quality, Reporting & Governance Implement automated ...

that scope, not daunted by it. REQUIREMENTS: Strong Python in production, ideally including FastAPI or similar async frameworks Proven experience building and deploying LLM-powered applications, not prototypes that never saw users Solid understanding of data modelling and PostgreSQL; familiarity with vector databases a plus Comfortable across the full stack … multi-agent systems for reliability and production performance Understanding of prompt engineering techniques including few-shot learning, chain-of-thought and RAG Familiarity with LLM evaluation strategies and how to measure whether your system is actually working Hands-on with AI orchestration frameworks: LangGraph, LangChain, DSPy or equivalent Knowledge ...

Location: London Salary: Competitive salary and package dependent on experience Career Level: Specialist or Associate Manager (based on experience) Accenture is a leading global professional services company, providing a broad range of services in strategy ...

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. ...

stack developer AI & Modern Development Practices (Required) Experience using AI coding tools or assistants in day-to-day development Understanding of large language model (LLM) fundamentals and limitations Desirable Exposure to cloud platforms (e.g. AWS, GCP, Azure) Experience with CI/CD pipelines and infrastructure as code Senior Full Stack ...

implement warehouse sizing and scheduling strategies to optimise operational data spend. AI‐Ready Data Architecture Architect data stores optimised for large language model (LLM) consumption, including vector databases, embedding pipelines, and retrieval‐augmented generation (RAG)‐compatible data structures that form the foundation of the AI product layer. Data Contracts & Platform ...