51 to 75 of 111 Retrieval-Augmented Generation Jobs in London

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...

Next.js, React, TypeScript, Python, FastAPI, Postgres, Redis Experience with cloud infrastructure (AWS, GCP) Exposure to or experience with foundation models or Generative AI (LLMs, RAG, fine-tuning, agents, evals, AI IDE, etc.) Experience working directly with users to iterate on products Benefits Early equity in a YC-backed, high-growth ...

have: Strong Python engineering skills for backend services and API integrations. Hands-on experience working with LLMs and related tooling, including: LLMs RAG patterns, vector databases, function calling, and prompt design. Solid experience with Google Cloud Platform, ideally including: Vertex AI, Model Garden, BigQuery, Cloud Run or Cloud Functions Ability ...

unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements ...

month rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e click apply for full job details ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

track record delivering enterprise-scale AI/ML and intelligent automation Strong hands-on knowledge of cloud AI platforms, data engineering and LLM/RAG architectures Experience implementing MLOps, observability and model governance Commercially minded, able to link AI outcomes to revenue, efficiency and customer impact Background within consumer ...

shipping reliable systems used by real customers. Key responsibilities Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows Design and maintain RAG pipelines over large, complex legal and technical corpora Own systems from prototype through to production Focus on robustness, evaluation, and reliability in precision-critical ...

complex technical risks into actionable guidance for senior stakeholders. Preferred Skills Certifications: CISSP, CCSP, OSCP, or equivalent cloud security credentials. Advanced AI: Experience with RAG pipelines, vector databases, and AI model fine-tuning. Regulatory Knowledge: Understanding of the EU AI Act or ISO/IEC 42001. DevSecOps: Familiarity with automation ...

logic that allows an LLM to detect its own hallucinations in a workflow and force a re-plan based on ingested technical documentation. Shave RAG query times down from "noticeable lag" to "instant" across massive, unstructured enterprise datasets. Why a Senior Engineer would join this team You’ll work directly ...

prototypes, and iterate based on user testing and analytics. Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability. Implement frontend architectures and state management patterns that scale for complex, real-time, and collaborative UIs (React hooks … APIs, authentication, ingestion, and retrieval layers — enough to design pragmatic interfaces and own cross-stack features. Practical experience building retrieval-augmented generation pipelines (embeddings, vector stores, chunking/indexing). Proven track record delivering features in agile teams: sprint planning, incremental delivery ...

observability). Demonstrated success in leading teams Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. ...

Details • Salary: £80k–£100k base (flexible for strong profiles) • Working model: Hybrid, 3 days per week in London office • Tech stack: Python, JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic systems, Azure/AWS • Visa: No sponsorship available Interested? Please apply below. ...

Strong technical background with hands on experience building AI systems, prototypes, or proof of concepts - Experience with machine learning and generative AI, ideally including RAG based solutions - Python experience and solid understanding of core AI concepts - Ability to translate technical AI solutions into clear, simple messages for non technical stakeholders ...

point of application Strong programming skills in Python Understanding of one or more of the following: Agentic AI systems and architectures Graph RAG or Traditional RAG Vision Language Models or Computer Vision Audio or signal processing Experience with Docker, Linux/Unix CLI, Git, and testing frameworks Experience with ...

Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores click apply for full job details ...

released in a production environment. Skills and experience Experience in deploying AI-powered systems into production Strong experience in Python Practical experience with RAG architectures Clear communication and strong problem-solving instincts If you are looking for a new challenge, then please submit your CV for initial screening and more ...

/Kent preferred Day Rate: £300–£325 per day Key Requirements: Hands-on exposure to Azure AI and Machine Learning Experience with Agentic AI , RAG systems , and GraphRAG At least 10+ years’ experience in .NET Please note: This role cannot offer sponsorship. Applicants must have full rights to live ...

assessments, and delight users Work with industry experts to turn messy claim processes into AI-driven workflows Deploy solutions using LLMs, LangChain, and RAG at scale What we're looking for 2+ years in AI/ML engineering or research Proven track record taking projects from idea → production → impact Bias ...

TypeScript-based applications Understanding of semantic/graph data (e.g., RDF triples, SPARQL , Amazon Neptune ) Ability to validate AI-supported features, including LLM/RAG behaviours via Amazon Bedrock Knowledge of performance testing for serverless architectures and WCAG 2.2 AA accessibility Familiarity with GDS Standards and testing in the public ...

Backstage and/or Compass) at scale. Experience with AI/LLM-assisted developer tooling in enterprise contexts (guardrails, controls, model governance, prompt/RAG on runbooks). Familiarity with security frameworks and evidence-led delivery practices. NOTE: Hybrid, 4 days office per week. ...

development, along with experience in Docker , PostgreSQL , or DSL/Compilers . Professional or enthusiastic personal experience with LLMs and their ecosystems (e.g., Langchain, RAG, or observability tooling). You are a "creative experimentalist" who can balance the need for speed with long-term engineering maintenance. A commitment to building ...

ambiguity, managing risk, and maintaining delivery momentum. Exposure to regulated or high-trust domains (Legal, HR, Finance, Healthcare) strongly preferred. Familiarity with Generative AI, RAG, or ML systems advantageous. Why Join? You'll play a pivotal role in ensuring Generative AI systems are delivered coherently, responsibly, and at scale-working ...

production (using e.g. OpenAI, Anthropic, Google, etc.) Proficiency with LLM infra platforms (prompt management, logging/tracing, evals) Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory) Building features end-to-end with TypeScript, React.js, and Node.js As a person, you... Are first and foremost a builder. ...