176 to 200 of 246 Retrieval-Augmented Generation Jobs in the UK

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 ❯

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 ❯

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 ❯

time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). LLM & RAG Systems: Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant. Deployment & MLOps: Own model deployment More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

the team to design and build innovative GenAI proof-of-concept (POC) solutions for clients, leveraging cutting-edge technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Evolve prototype POCs into fully scalable, production-ready solutions that meet client needs. Develop and implement FullStack applications for both GenAI and traditional technology projects. Assist in 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 ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

The Role We are looking for a full-stack software engineer to build the next generation of scientist-centred AI tools for accelerating scientific discovery, our understanding of the universe, and solving climate change. This is a hybrid role with 2 to 3 days at our London office. You'll work closely with our computational and experimental groups … on delivering software which integrates frontier AI research into the workflow of scientists. This will involve designing and implementing front-end tools for novel interaction patterns with generative models, RAG, and scientific visualizations. This role will also design and build the back-end services which deliver agentic scientific workflows at scale, such as the orchestration of GPU-accelerated and traditional More ❯

friction points - then design, validate, and launch precision-engineered tools to solve them, turning today's analog processes into tomorrow's autonomous ones. This is how the next generation of investment organizations will think, decide, and operate. Tasks We're looking for a self-starter with a hacker mindset and a strong bias toward action. You should thrive … Proven full-stack engineering background with the ability to independently ship products end-to-end Experience building and integrating LLM-powered systems, including prompt engineering, embedding models, and custom RAG pipelines Familiar with modern AI toolkits such as LangGraph, Hugging Face Transformers, Vector Database, OpenAI APIs, and similar Comfortable managing backend, frontend, and infrastructure with minimal oversight - you know how More ❯

not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly inform roadmap prioritisation and go-to … automation. Comfortable using BI tools such as Tableau, PowerBI, Looker, or Lightdash, and running analysis in statistical packages. Familiarity with LLMs and AI-powered tools to support insight generation, automation, and experimentation. Proven track record of influencing senior stakeholders with data storytelling and commercial acumen Deep understanding of marketplace KPIs: CAC, LTV, take-rate, sale rate, funnel conversion More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

Kubeflow. Demonstrated ability to transition models from prototyp e 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 More ❯

Job Title: Data Scientist Location: London, UK (Hybrid) Job Type: Permanent Job Description: Experience: Minimum of 8+ years. Skilled Required: LLM, RAG, Finetuning, NLP, Text Summarisation, ML, Feature Engineering Llamaindex, LangChain, LangSmith Vector DB, Vector Search, FAISS Embeddings Experience with OCR, layout models PDF and text file parsing, along with various other file types Experience with REST API More ❯

Job Title: Data Scientist Location: London, UK (Hybrid) Job Type: Permanent Job Description: Experience: Minimum of 8+ years. Skilled Required: LLM, RAG, Finetuning, NLP, Text Summarisation, ML, Feature Engineering Llamaindex, LangChain, LangSmith Vector DB, Vector Search, FAISS Embeddings Experience with OCR, layout models PDF and text file parsing, along with various other file types Experience with REST API More ❯

be a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. - You’ll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or … is an option (2-3 days in the office per fortnight). Remunerations do include a range of benefits. Keywords: AI/ML, Python, Agentic Systems, Automation Platforms, LLM, RAG, Langchain, Central London, Hybrid Working Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well More ❯

engineer with experience building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with 1-2 days a More ❯

engineer with experience building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with 1-2 days a More ❯