51 to 62 of 62 Retrieval-Augmented Generation Jobs in the UK excluding London

object detection (e.g. MobileNet, YOLO). Either way, we’re looking for someone who can help our app understand what the visitor is looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based More ❯

SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of More ❯

AI Research Engineer to help pioneer next-generation language model systems at the frontier of applied AI. In this role, you’ll help build foundational agent and RAG infrastructure, shape internal research initiatives, and accelerate the delivery of LLM-powered features to end users. You’ll collaborate cross-functionally with engineering and product teams to experiment, evaluate, and … System Development : Research, prototype, and build systems powered by large language models, focusing on reliability, efficiency, and relevance. Agent & RAG Architectures : Design and refine agentic workflows and retrieval-augmented generation pipelines that improve performance, accuracy, and cost-efficiency. Evaluation & Alignment : Develop metrics and tools to measure model performance, groundedness, and behaviour; explore fine-tuning More ❯

feature work* •⁠ ⁠Design and ship REST or GraphQL endpoints. •⁠ ⁠Build multi-tenant data models and role-based workflows. •⁠ ⁠Trigger emails and webhooks for status changes. *AI/Retrieval-Augmented Generation* •⁠ ⁠Wire existing prompts to an LLM API (OpenAI-compatible today, private model later). •⁠ ⁠Store embeddings in a vector store and perform RAG look More ❯

teams reach high-intent buyers through hyper-personalised, multi-channel campaigns. We’re building an AI-first platform from the ground up, with LLMs powering everything from content generation to strategic recommendations. We’re looking for hands-on AI Fullstack Product Engineers who’s excited to build, ship, and fully own production-grade AI features. You’ll have … ll be responsible for architecting and shipping AI-powered features using tools like PydanticAI, LangGraph, FastAPI, and OpenAI/Anthropic APIs. You’ll build and orchestrate intelligent agents and RAG pipelines, moving quickly to prototype, test, and launch in days, not months. Working closely with product, design, and go-to-market teams, you’ll build features that solve real customer More ❯

principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user More ❯

growth startups (Monzo, N26, Personio). Demonstrable ability in building and leading high-calibre engineering teams . Experience leading engineering teams working on Generative AI (Prompt Engineering, Fine Tuning, RAG) Competencies: Understanding Technical Requirements with a Focus on Quality: Translate product requirements into squad plans and capacity, while also having a keen eye for ensuring high coding standards, maintainability, and More ❯

platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem space, including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets. Strong background in cloud engineering and containerisation (Docker, Kubernetes) with experience deploying AI More ❯

the join the R&D team and design, test and refine prompts , clean and map unstructured text and structured fields into usable metadata and semantic indexes for use in RAG systems and collaborate with product and design teams to embed LLM-powered assistants into customer facing healthcare support tools. What You'll Do Work across LLM design, structured data integration … Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs, documents, form data). Exposure to RAG architectures and vector stores (such as FAISS, Pinecone.....). The ability to work with and communicate with multi-disciplinary teams at all levels of an organization Any experience in a More ❯

the join the R&D team and design, test and refine prompts, clean and map unstructured text and structured fields into usable metadata and semantic indexes for use in RAG systems and collaborate with product and design teams to embed LLM-powered assistants into customer facing healthcare support tools. What You'll Do Work across LLM design, structured data integration … Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs, documents, form data). Exposure to RAG architectures and vector stores (such as FAISS, Pinecone.....). The ability to work with and communicate with multi-disciplinary teams at all levels of an organization Any experience in a More ❯

real impact. Nice to Have Previous experience in AI powered enterprise/B2C SaaS environment and product. Familiarity with low-code/no-code AI tools, vector databases, or RAG workflows. Experience launching AI-powered features or agent-led automation tools. Background as a software engineer or technical role. A proven track record in AI product management and development. Apply More ❯

our agent framework Lead engineering team post-seed Shape product vision and strategy Qualifications: Insatiable desire to build the future & create a highly impactful products Deep expertise in LLMs, RAG, and production ML Experience with agent architectures and fine-tuning Strong API integration skills Builder mentality - you ship fast and iterate Previous startup experience preferred Excited to solve hard technical More ❯