126 to 150 of 193 Retrieval-Augmented Generation Jobs in England

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 ...

within Agile teams and contributing to iterative product delivery Understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Experience working in regulated environments or with legal workflows A product focused and problem-solving mindset with the ability to work independently Ability ...

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 ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems, and using ...

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. ...

similar engineering languages is a must Experience working with APIs, cloud infrastructure and data processing. Previous experience within AI tech such as LLMs, RAG, embedding, vector databases is a big plus as is any previous experience within an AI, Data or B2B SaaS company. This is a great time ...

solutions spanning data preparation, modelling, APIs, and production integration* Build and optimise ML and LLM-driven services, including prediction models, personalisation, and retrieval-augmented systems* Collaborate with business stakeholders to frame problems, define success metrics, and deliver measurable outcomes* Develop services, APIs, and integrations that embed … solutions into production environments* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn* Experience working with LLMs, including prompt design, RAG, or fine-tuning* Experience building APIs and integrating AI systems into real products* Solid understanding of data pipelines, feature engineering, and model evaluation* Experience working ...

Business Analyst working within digital, technology, or regulated environments. Strong understanding of AI technologies such as LLMs, NLP, extraction/classification models, or RAG pipelines. Experience improving workflows, automation, or business systems within complex environments. Strong analytical skills with proficiency in process mapping, UML, BPMN or similar. Comfortable facilitating workshops ...

Business Analyst working within digital, technology, or regulated environments. Strong understanding of AI technologies such as LLMs, NLP, extraction/classification models, or RAG pipelines. Experience improving workflows, automation, or business systems within complex environments. Strong analytical skills with proficiency in process mapping, UML, BPMN or similar. Comfortable facilitating workshops ...

What You’ll Work On Designing and implementing Agentic AI architectures for enterprise workflows. Building and deploying LLM-powered solutions, including Q&A systems, RAG pipelines, and autonomous agents. Developing custom copilots, plugins, and declarative agents using Microsoft Copilot Studio and Azure AI Agent Service. Operationalising AI solutions using Microsoft … Python and deep learning/NLP libraries (LangChain, HuggingFace, PyTorch, TensorFlow). Experience deploying AI workloads on Azure (ACA, AKS, Azure Functions) and implementing RAG with Azure AI Search. Ability to engage with clients, translate business needs, and deliver scalable end-to-end AI solutions. Why Join: Work directly with ...

want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across … services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation) Build APIs/services integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans Own delivery quality: reliability ...

want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across … services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation) Build APIs/services integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans Own delivery quality: reliability ...