1 to 25 of 183 Remote LLM Jobs in the UK excluding London

Ensure your agents comply with regulations (GDPR, financial compliance) and guard against bias, hallucinations, and misuse. What You Bring Technical Mastery: Strong skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker More ❯

Key Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI models. Collaborate with data scientists, software More ❯

and retraining pipelines. Exposure to feature stores, registries, and experimentation frameworks. Familiarity with business-driven metrics and experience balancing ML performance with commercial goals. Experience with generative AI and LLM frameworks for fine tuning, evaluation, deployment and serving desirable. About Rightmove Our vision is to give everyone the belief they can make their move. We aim to make moving simpler More ❯

and drive student success. WHAT YOU WILL BE DOING: Design and develop AI-driven systems and tools that enhance the learning experience for students and educators. Build and deploy LLM-based solutions, integrating frameworks such as LangChain, AutoGen, and RAG pipelines. Develop and optimise AI agents capable of reasoning, planning, and automating complex learning or data workflows. Collaborate with cross More ❯

RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. More ❯

RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. More ❯

s new, it's exciting and it's an opportunity to work with some incredible talent in this space. The role The role is building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a More ❯

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work More ❯

production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical audiences. Passionate about applying AI responsibly and effectively in business contexts. Benefits Hybrid working More ❯

production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical audiences. Passionate about applying AI responsibly and effectively in business contexts. Benefits Hybrid working More ❯

either through formal education or equivalent demonstrable hands-on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed More ❯

systems Ability to mentor, guide, and upskill engineers within the team Familiarity with or eagerness to advance in: Model Context Protocol for managing context and tool interfaces for agents LLM integration patterns including prompt orchestration, multi-agent planning and tool calling Retrieval-Augmented Generation (RAG) for dynamic context injection Model selection/A/B testing/observability What Will More ❯

are currently in the midst of a huge platform scale-out, and are now looking for a number of AI Platform Engineers to join their team who can: Own LLM Ops platform and multi-agent orchestration Build production AI services end-to-end Design scalable, secure API infrastructure for 9 products Bridge technical capability with monetization As well as good More ❯

Python/GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can More ❯

C#/ASP.NET (Core & Framework) and modern JavaScript/TypeScript frameworks, particularly Angular . - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

are willing to pick up Angular, we will consider React or Vue, for example. - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

are willing to pick up Angular, we will consider React or Vue, for example. - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

for innovation, and ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and More ❯

understanding of cloud architecture. Exposure to UX/UI design and customer-focused development. Collaborative approach with a growth mindset and passion for problem-solving. Familiarity with AI/LLM technologies would be a bonus! The ideal candidate is someone who thrives in start-up environments where ideas move quickly, and impact is immediate. You'll enjoy taking ownership, solving More ❯

tools such as Langflow , Airflow , Prefect , or n8n . Deep understanding of CI/CD, distributed systems, and API integration (OAuth, retries, rate limits). Experience integrating AI/LLM APIs into production systems, pragmatic about what AI can and can’t do. Solid grounding in Git, SQL optimisation, and async architecture. Excellent communicator who values clarity, documentation, and collaboration. More ❯

Python Software Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Cheltenham Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes More ❯

proficiency across the stack, including React, TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend systems Experience with fine-tuning or instruction tuning Experience with GPU More ❯

proficiency across the stack, including React, TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend systems Experience with fine-tuning or instruction tuning Experience with GPU More ❯

in the office in London or Edinburgh ; Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

as user stories, change requests, and screen designs. A background as a Business Analyst is preferred. Experience in workforce management, scheduling, HR tech, optimisation domains, AI/ML productisation, LLM integration, MLOps, or enterprise integration standards (ETL, REST APIs, webhooks, event streaming) is a bonus. At the centre of the company's culture is freedom and openness which takes a More ❯