226 to 250 of 560 LLM Jobs in England

they can be operated long-term. Upskill and enable the wider team in effective AI usage (AI-assisted coding practices, patterns for AI/LLM solutions, and pragmatic guardrails) through pairing, lightweight training, and shared standards. Key requirements Experience building and shipping software; meaningful experience delivering ML/LLM systems … production. Strong Python + software engineering fundamentals (testing, code quality, CI/CD). Experience with modern LLM patterns (RAG, tool use/agents, fine-tuning or prompt systems) and robust evaluation. Practical experience operating production systems on-prem or in a private cloud (Linux, containers, networking, monitoring/ ...

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 ...

GenAI Full Stack Engineer Location: Manchester (Hybrid, 2 days per week in office) Salary: £55,000 to £70,000 + Benefits Type: Permanent About the Company We are partnering with a leading digital transformation and ...

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 ...

Senior Data Scientist & Machine Learning Researcher Gloucester, Manchester Benefits: £: Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public ...

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 ...

Our client, a global organisation, urgently require an experienced AI Delivery Lead to join their expanding team on a permanent basis. In order to be successful, you will have the following experience: Strong background within ...

AI Agentic Engineer (MedTech) We’re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer ...

AI Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to ...

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 ...

Specialist Step into a role where AI isnt theoretical - its already live, evolving, and making an impact. Youll be working on a production-level LLM chatbot integrated with Intercom, handling real user traffic and data. This is a rare opportunity to directly shape performance through metrics like resolution rate, CSAT ...

offline authentication, biometric tokenization, and secure session handling Design encrypted local storage, background sync, and complex IB dataset handling Define performance strategy for agentic LLM-backed workflows Partner with AI and Backend teams to ensure seamless integration and scalability Must-Have Skillsets 10 years in mobile engineering with deep native ...

ambiguous environments Comfortable making decisions with incomplete information Nice to Have Experience with automation tools (e.g. Zapier, Make, Airtable, Notion) Exposure to AI/LLM-powered tooling in operational contexts Background in coaching, L&D, or behavioural change environments (not essential) Why Join Play a key role in scaling ...

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 ...

Location: London (Hybrid) Engagement Type: Permanent Company: Albany Beck About Albany Beck Albany Beck is a consultancy dedicated to delivering tailored talent and operational solutions to our clients across Financial Services and beyond. We partner ...

Senior Developer (Python, Gen AI, Vector DB, Spark) Role Overview We are seeking a highly skilled Senior Developer with expertise in Python, Generative AI, Vector Databases, and Spark. The role focuses on building scalable AI ...