126 to 150 of 172 Retrieval-Augmented Generation Jobs in the UK

value What We’re Looking For Experience delivering AI/GenAI solutions in a real business environment (not just demos) Strong understanding of LLMs, RAG, and workflow/automation patterns Ability to turn ambiguous problems into practical, shipped solutions Hands-on builder—comfortable prototyping, integrating tools, and iterating quickly Outcome ...

SaaS, fintech, professional services or regulated environments Exposure to AI-enabled products, automation tools or GenAI initiatives Understanding of technologies such as LLMs, NLP, RAG pipelines or AI workflow tooling Strong stakeholder management and workshop facilitation skills Experience working in Agile product environments Commercially minded product thinking with a focus ...

SaaS, fintech, professional services or regulated environments Exposure to AI-enabled products, automation tools or GenAI initiatives Understanding of technologies such as LLMs, NLP, RAG pipelines or AI workflow tooling Strong stakeholder management and workshop facilitation skills Experience working in Agile product environments Commercially minded product thinking with a focus ...

working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home ...

will be involved across the full lifecycle of GenAI productsfrom proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks , youll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities … Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring ...

involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks , you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities … Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring ...

major projects, with high-impact, end-to-end ownership. What you'll be doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver end-to-end AI systems from discovery to production … product teams, and senior stakeholders across the business Tech stack Python & SQL (essential) GCP (preferred, but flexible depending on experience) LLMs/GenAI/RAG/agentic frameworks (LangChain, LlamaIndex etc.) MLOps tools: Git, CI/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science ...

experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem … solutions in secure environments High-performance computing and cloud-native AI architectures End-to-end MLOps lifecycle and model management Advanced AI techniques including RAG, agentic systems, and multimodal models Secure, high-assurance data environments Modern DevOps, CI/CD, and engineering practices Why Join? Work at the forefront ...

experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem … solutions in secure environments High-performance computing and cloud-native AI architectures End-to-end MLOps lifecycle and model management Advanced AI techniques including RAG, agentic systems, and multimodal models Secure, high-assurance data environments Modern DevOps, CI/CD, and engineering practices Why Join? Work at the forefront ...

technologies safely and effectively. Working closely with developers, data scientists, and business stakeholders, you will help deliver advanced AI use cases including intelligent assistants, RAG-based solutions, and agentic workflows within a secure Azure cloud environment. Key Responsibilities * Build, maintain, and optimise AI infrastructure and cloud environments using Microsoft Azure … Develop and manage CI/CD, LLMOps, and MLOps pipelines to support the full AI application lifecycle. * Design and deploy Generative AI solutions including RAG architectures, intelligent agents, and multi-agent workflows. * Implement Infrastructure as Code (Terraform) to automate and standardise deployments. * Ensure AI platforms remain secure, scalable, and compliant ...

Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical … experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version ...

/or data platforms at scale Experience in a senior technical or leadership role (3+ years) Strong understanding of modern AI approaches, including LLMs, RAG, and orchestration Knowledge of cloud environments, security, and compliance considerations Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment ...

delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading technical delivery across projects Driving adoption of GenAI, RAG, and agent-based systems Acting as the SME for ML engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/… MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression Opportunity to lead and shape technical direction Security clearance eligibility required. ...

scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate … LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code ...

their data needs and unblock them quickly. Bring AI Into Your Own Workflow: Use AI tooling to accelerate your own engineering, from code generation to pipeline documentation to data quality checks. Team & Operations Share What You Know: Champion knowledge sharing and best practice across the team and wider … Experience with Terraform or equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic search is a plus. Working knowledge of Google's marketing stack: Google ...

Technical Project Manager - London/Hybrid - Fluent French - AI Delivery/RAG/Multi-Agent Systems - £40,000 - £60,000 The Role An ambitious and fast-growing AI consultancy are looking for a Project Manager with strong experience in AI to lead client engagements from discovery through to delivery. Working … concepts into practical business solutions. As a Project Manager here, you'll have the opportunity to work on cutting-edge AI initiatives involving RAG, multi-agent systems, modern LLM frameworks, and production AI deployments. You'll play a major role in shaping how projects are delivered and influence both technical ...

Gateway Experience building Generative AI/LLM-powered solutions Strong Python development skills Experience integrating AI into production systems Exposure to prompt engineering, RAG, or agent-based architectures Comfortable operating in a consulting/client-facing environment Strong communication skills Nice to Have Experience with vector databases (e.g. Pinecone, OpenSearch … Inside IR35) Location: Mostly remote Travel: Occasional travel as required Engagement: Consultancy-led delivery Keywords AWS Bedrock, Generative AI, LLM, Python, SageMaker, Prompt Engineering, RAG, LangChain, Vector DB, AWS AI Additional Information My client has limited interview slots and they are looking to fill this vacancy ...

OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning … across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity ...

platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform … infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including ...

PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling … warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts : Partner with Business Analysts to formally define ...

for. What you'll be working on as an AI Engineer - LLM & Agentic Systems: Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration … with clear, real-world examples you can speak to confidently. Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept. Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with ...

Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development … next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions ...

based workflows, integrating AI platforms, and delivering scalable cloud-native solutions. Responsibilities AI Agent Engineering Design and implement AI agents, including: Retrieval (RAG) Orchestration workflows Tool/function invocation Policy-based routing Build evaluation frameworks for accuracy, latency, and reliability Implement observability and monitoring for agent lifecycle … engineering experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability tools Hands-on experience ...

opportunity to work on a cutting-edge programme delivering scalable, AI-driven solutions across modern AWS infrastructure, React front ends, and advanced LLM/RAG workflows. London-based | 5 days onsite 12-month contract + likely extension £600-£800 per day (PAYE) Join a high-profile greenfield initiative within … opportunity to work on a cutting-edge programme delivering scalable, AI-driven solutions across modern AWS infrastructure, React front ends, and advanced LLM/RAG workflows.What you'll be doing Building and enhancing cloud-native applications using Java and/or Python Developing modern React front-end solutions Designing scalable ...

data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work closely with Product and Engineering … datasets and collaborating with engineering teams Confidence explaining methodology, limitations, and impact to a broad range of stakeholders Exposure to synthetic data, prompt engineering, RAG, or cloud-based data platforms is beneficial but not essential ...