201 to 210 of 210 Retrieval-Augmented Generation Jobs in England

to serve humanity. Were 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 ❯

You Be Doing Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies. Harness the power of our Observability products: Enable key government departments to achieve unparalleled accuracy and efficiency in their search queries and data retrieval … Bring 8+ years of experience in designing and architecting enterprise-levelsolutions into the Public Sector . An understanding of Observability,AI and semantic search technologies, with a focus on RAG, vector search, and NLP. Experience with vector databases and other emerging data storage solutions. Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think More ❯

hunt for an Technical Architect who will be leading on AI Solutions - this will include: Design, Architect & deploy next-gen GenAI solutions Supercharge natural language interfaces Push boundaries with RAG models, multi-agent systems & more Build robust AI evaluation & monitoring frameworks Mentor, lead & inspire technical team in delivering AI products Experience Required Proven GenAI solution deployment (AWS Bedrock or similar … Deep knowledge of RAG models & agent workflows Experience with GenAIOps, AI security, and responsible AI Leadership skills & a builder's mindset Built and Architected an AI product, and takent to market Interview are happening WC 18/8/25 - this is a 2 stage interview process, to be undertaken remotely. All applicants must have full rights to work in 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 ❯

high-performance services using Golang in secure environments Develop ingestion and processing pipelines for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to … orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs, or LLM deployment Bonus: Prior experience within Defence, aerospace, or highly regulated industries Why It Stands Out: This isnt a generic software build. Youll help More ❯

high-performance services using Golang in secure environments Develop ingestion and processing pipelines for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to … orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs, or LLM deployment Bonus: Prior experience within Defence, aerospace, or highly regulated industries Why It Stands Out: This isn’t a generic software build. You 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 ❯

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 ❯

We're Magic Group , founded by Julius Dein, and we're not just scaling content, we're building the next generation of AI-powered consumer products used by millions. Who We Are We move fast, think bold, and build at scale. 45 BILLION views (Most-Viewed Facebook Page, 2021-22) 100M+ daily views across platforms 44M+ FB • 12M … releases Prompt Engineering: Able to craft, test, and refine prompts for outputs like chat, image, or video LLM + Vector Tools: Experience with embeddings, Pinecone/Weaviate, and building RAG-style pipelines Why Join Magic Group? No red tape. Just build, launch, and scale A small, senior team with high trust and even higher impact If you're a top More ❯

support secure, air-gapped AI deployments, with a focus on NLP-based tooling Develop pipelines for transcription ingestion and real-time analytical insight generation Support graph and RAG-based inference layers using data from structured and unstructured sources Build and expose APIs for frontend consumption, enabling natural-language querying, dynam click apply for full job details More ❯