21 of 21 Remote Retrieval-Augmented Generation Jobs in the UK excluding London

or security frameworks where required (e.g., healthcare, finance, defence). Facilitate integration of LLMs or Retrieval-Augmented Generation (RAG) pipelines, where applicable. Required Experience 2+ years as the primary Technical Project Manager for at least 2 software products shipped to production in the past More ❯

world environments Strong Python skills and experience with key ML libraries (e.g., scikit-learn, XGBoost, PyTorch) Exposure to Generative AI technologies (e.g., LLMs, embeddings, RAG systems) Excellent communication skills and ability to engage senior stakeholders Nice to Have: Experience in consulting or client-facing delivery roles Knowledge of cloud platforms More ❯

Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction tuning, RAG architectures, or guardrail implementation. Collaborative Communicator : Able to bridge the gap between research and product, working across teams to translate ideas into features. Curious & Agile More ❯

and mentor a team of AI/ML engineers, fostering innovation and best engineering practices. Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making. Ensure seamless integration of AI agents with enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative More ❯

needed Our client is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to More ❯

Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or understanding of LLMS, LangChain, & RAG (Beneficial) Sound of interest? Apply today for immediate consideration! Please note: All candidates must be UK based and have the full right to work in More ❯

Engage with stakeholders to understand needs and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other More ❯

Engage with stakeholders to understand needs and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other More ❯

Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools More ❯

Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools More ❯

AWS, GCP, Azure) and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite More ❯

years+) Developed LLM architecture and deployed LLM applications Effective communication skills Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with requirements to be on client premises' in either Glasgow or Edinburgh between 1-4 days More ❯

Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-5 days More ❯

growth venture. Have fun 🙂 Apply if: You have experience building, evaluating and shipping AI products. You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value More ❯

oversight on complex projects without being the day‑to‑day project lead, ensuring quality and de‑risking delivery Product & IP - Turn repeatable solutions (e.g. RAG accelerators, model‑monitoring blueprints) into packaged offerings that shorten sales cycles and improve customer outcomes Commercial & Pre‑Sales - Partner with sales to scope opportunities, run … range to assess the best fit: AI Stack: Python, SQL, mathematics and statistics essential Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery More ❯

Elasticsearch, MongoDB or other hybrid/vector stores for content analysis and indexing, with a focus on creating advanced RAG (Retrieval Augmented Generation) applications. Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms. More ❯

Interim Senior AI Engineer – GenAI/RAG, Financial Services 6-Month Contract We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's … time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows More ❯

About the role Skills : Python, FastAPI, NextJS, React, TypeScript, Cloud Infrastructure (GCP/AWS/Azure), AI/ML frameworks We've built a RAG-based AI platform that's revolutionizing how people create presentations, but our success is outpacing our infrastructure. We need a talented senior engineer who can … GCP preferred) and infrastructure automation Ability to design and implement scalable, production-grade systems Nice to have Experience with AI frameworks (LangChain, Llama Index, RAG-based systems) Knowledge of vector databases (PGVector) and PostgreSQL optimization Familiarity with SVG and 2D graphics development Previous experience in fast-paced startup environments Tech More ❯

AWS Data Engineer Salary: Negotiable to £80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer More ❯

whether that’s code or more unstructured outputs. We have frameworks for evaluation, verification, specialized code and test generation pipelines, agentic behavior, RAG, observability and orchestration tooling, and many more... all widely used across our product, neatly integrated, and informed by real customer and product needs. Each of … experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You have a fundamental understanding of code analysis, compilers, domain-specific languages, or related topics, and are keen to learn More ❯

London Bridge Station) Key Responsibilities: Manage end-to-end data flow across the company Design and maintain ETL processes using AWS Support LLM and RAG architecture integration Write clean code and conduct peer reviews Collaborate across teams to drive business value through data Requirements: AWS: S3, Glue, Redshift, Athena Solid … coding skills Exposure to LLMs, RAG, AI agents Commercial awareness—understand business impact Comfortable in a fast-paced, high-responsibility environment Why Join Us? Health insurance + tailored training plan Career growth in a scaling tech company Fun, supportive culture with real impact Hybrid flexibility + cozy, pet-friendly office More ❯