26 to 50 of 186 Retrieval-Augmented Generation Jobs in the UK

with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI ...

digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skills and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … experience with SAP AI Core, Generative AI Hub, and SAP HANA Cloud Vector Engine (for Retrieval-Augmented Generation, RAG). Proven ability to embed AI and advanced analytics into SAP business processes, leveraging SAP’s Business AI suite and integrating external LLMs (e.g., OpenAI ...

CrewAI, AutoGen, or equivalent internal frameworks). Practical experience in connecting agents and products to Retrieval-Augmented Generation (RAG) systems, understanding vector stores, chunking strategies, and retrieval performance. You will be connecting to our internal Gen AI Platform's vector databases. Experience ...

data processing frameworks (e.g. Apache Spark). Knowledge of Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), or Agentic AI frameworks. Experience with high-performance computing (HPC) environments (e.g. SLURM), including use of GPU nodes for accelerating large-scale or AI-driven pipelines. ...

environments. This is an end-to-end role focusing on the design and implementation of applied AI capabilities, from building secure knowledge-based chat (RAG solutions) over internal documentation and codebases, to developing complex agentic workflows that integrate deeply within their product suite. Key Responsibilities Define and execute … core business objectives. Implement documentation ingestion pipelines for structured knowledge bases. Build secure, enterprise-grade Retrieval-Augmented Generation (RAG) systems. Collaborate with engineering teams to embed AI features into existing and new products. Design and deploy agentic workflows to automate multi-step tasks across ...

regulated environment, ensuring adherence to AI governance and compliance frameworks. Design and implement Retrieval-Augmented Generation (RAG) architectures to optimize information retrieval for LLMs. Mentor junior members of the development team, providing expert support when required. Contribute to design decisions ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment. … customer impact. Key Responsibilities Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots. Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies. Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability ...

building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment. … customer impact. Key Responsibilities Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots. Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies. Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability ...

Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge ...

gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through … components, and solution standards AI Mastery & Innovation Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate ...

ISPs to uncover problems that directly impact how the UK connects. Advance the use of retrieval-augmented generation (RAG), combining LLMs with vector search, to push the boundaries of how AI can be applied to connectivity challenges. Our stack Backend: PHP (Laravel), Python ...

design, build, and deliver next-generation AI systems. You will work across LLMs, retrieval-augmented generation (RAG), and modern agent frameworks to transform large, unstructured data into meaningful insights and production-ready capabilitie click apply for full job details ...

solutions. Define product requirements, user stories, acceptance criteria, and success metrics for AI features. Oversee the life cycle of AI models (classification, extraction, summarization, RAG, LLM fine-tuning, etc.), including data sources, training needs, evaluation standards, and human-in-the-loop workflows. Ensure model performance meets legal-grade quality, reliability … discovery platforms, CLM systems, or legal research technologies. Familiarity with prompt engineering, model evaluation frameworks, retrieval-augmented generation (RAG), and fine-tuning techniques. Experience with responsible AI frameworks or compliance-sensitive software. Background working with structured legal data, ontologies, or knowledge graphs. Success Indicators ...

engineering best practices, delivery processes, and a high-performance team culture. Technical Ownership Lead architecture and development of LLM-powered and agentic applications , including RAG systems, chat/workflow agents, and domain-specific AI services. Drive technical direction with sound judgement and pragmatic decision-making. Build and deploy production-grade … systems into production. Deep expertise in: LLMs & transformer-based models Agentic frameworks (e.g., LangChain, LangGraph) Retrieval-Augmented Generation (RAG) Python Building or integrating LLMs into products or workflows Working with GenAI frameworks and tooling Designing or optimising prompt pipelines Deploying or supporting GenAI features ...

more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply ...

build and evolve Generative AI (GenAI) proof-of-concepts (POCs) for clients using techniques like Retrieval-Augmented Generation (RAG) and intelligent agents. Support the transition of these POCs into scalable, production-ready solutions. Contribute to the design and development of full-stack applications ...

fast‐paced environment Desirable Experience: Experience with generative AI and large language models, including LangChain, vector databases and retrieval‐augmented generation Knowledge of AutoML, hyperparameter optimisation and advanced MLflow features. Experience working with streaming or real‐time data platforms Familiarity with CI/ ...

based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks) Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows Experience integrating AI into real systems, APIs, event-driven architectures, data pipelines, and automation platforms (e.g. UiPath, Blue Prism) Comfortable experimenting ...

structured reasoning. GenAI Application Engineering Integrate LLMs into applications using LangChain, LlamaIndex, Haystack, AutoGen and OpenAI s Assistant API patterns. Build high-performance RAG pipelines using: hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering Work ...

following: You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact. You have knowledge of vector databases, RAG architectures and their integration into enterprise systems You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow. ...

foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS). Bachelor's or Master's degree in Computer Science, Engineering, or a related ...