226 to 250 of 279 Retrieval-Augmented Generation Jobs in England

Program Ownership & Delivery Excellence Own end-to-end delivery for a portfolio of data/AI programs (data platforms, lakehouse, MDM, analytics, GenAI/RAG, ML ops), ensuring on-time, on-budget outcomes with high CSAT. Establish governance cadence : steerco, RAID logs, budget/burn tracking, change control, risk mitigation … programs or portfolios. Proven success delivering across data platforms/lakehouse, ETL/ELT (e.g., Spark, dbt), MDM, BI/analytics, ML/GenAI (RAG, LLMOps) . Strong familiarity with Snowflake, Databricks, Azure/AWS/GCP data services, Kafka, Delta/Iceberg, Power BI/Tableau , and MLOps tooling. ...

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 ...

business impact and ROI Present complex AI solutions to both technical and non-technical audiences Showcase innovation in GenAI, Responsible AI, and emerging architectures (RAG, vector search, embeddings) What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/… programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ML, AWS SageMaker, Google Vertex AI Databricks, LangChain, Hugging Face Ability to develop architecture artefacts (HLDs, solution diagrams, delivery models) Exceptional ...

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 ...

deliver measurable business impact. What You’ll Be Working On Designing and building AI agents and agentic workflows powered by LLMs Developing systems using RAG, reasoning, planning, memory, and tool orchestration Building multi-step intelligent systems capable of real-world tool usage Working with MCP-style architectures (or equivalent … equivalent orchestration frameworks Experience building AI agents and agentic workflows with tool usage and multi-step reasoning Strong understanding and implementation experience of RAG systems Familiarity with MCP/FastMCP/FastAPI or similar orchestration patterns Strong understanding of LLM trade-offs including hallucination mitigation, latency, and cost optimisation Experience ...

used across the business. AI Senior Software Engineer - Responsibilities Design and deliver practical AI solutions Build and maintain LLM-powered applications, including retrieval-augmented workflows and tools integrations Collaborate with product and engineering teams to embed AI capabilities into software suite Establish best practice and champion … Engineer Experience - delivering production-ready solutions using Python, TypeScript or C# Hands on experience building LLM-based applications and solid understanding of retrieval-augmented generation approaches Experience leading projects or parts of projects from design through delivery Product mindset and collaborative approach - able ...

ideas to both technical and non‐technical audiences Nice to Have Research experience in areas such as large language models (e.g., training, fine‐tuning, RAG, evaluation, synthetic data generation), agentic AI, big data technologies, or digital twins Familiarity with emerging research and tooling ecosystems such as LangChain, LangGraph ...

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 ...

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 ...

fast-evolving environment. Responsibilities Design and build LLM-powered AI agents and multi-agent systems for real-world business applications Develop agentic workflows, incorporating RAG, reasoning, planning, and tool orchestration Build and deploy production-grade GenAI systems, not just prototypes Integrate AI solutions into existing business systems, APIs, and workflows … technical concepts clearly to non-technical stakeholders Skills Needed Strong experience delivering machine learning and AI systems Strong expertise in LLMs, Generative AI, and RAG systems Proven experience building AI agents/agentic systems Hands-on experience with LangGraph and/or similar frameworks Strong Python engineering skills with experience ...

used across the business. AI Software Engineer - Responsibilities Design and deliver practical AI solutions Build and maintain LLM-powered applications, including retrieval-augmented workflows and tools integrations Collaborate with product and engineering teams to embed AI capabilities into software suite Establish best practice and champion … Engineer Experience - delivering production-ready solutions using Python, TypeScript or C# Hands on experience building LLM-based applications and solid understanding of retrieval-augmented generation approaches Experience leading projects or parts of projects from design through delivery Product mindset and collaborative approach - able ...

used across the business. AI Senior Software Developer- Responsibilities Design and deliver practical AI solutions Build and maintain LLM-powered applications, including retrieval-augmented workflows and tools integrations Collaborate with product and engineering teams to embed AI capabilities into software suite Establish best practice and champion … Engineer Experience - delivering production-ready solutions using Python, TypeScript or C# Hands on experience building LLM-based applications and solid understanding of retrieval-augmented generation approaches Experience leading projects or parts of projects from design through delivery Product mindset and collaborative approach - able ...

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 ...

closely with engineering, architecture, and platform AI teams to build scalable AI-powered functionality into complex enterprise software products. Key areas include: LLM integration RAG pipelines Predictive analytics Evaluation frameworks MCP/tool-calling interfaces AI-driven risk and impact analysis What you'll be doing: Building AI-powered product … features and intelligent analysers Developing RAG workflows and enterprise AI integration patterns Building MCP servers and AI integration interfaces Designing evaluation and quality processes for AI outputs Working on predictive models and anomaly/risk detection Collaborating closely with engineering and architecture teams to productionise AI capabilities What they ...

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 ...

services and APIs (FastAPI, Python) Implement structured outputs and validation (Pydantic V2) Develop agent‐based and multi‐step workflows (e.g. PydanticAI or similar) Build RAG‐style solutions for contextual data retrieval Integrate AI services into .NET‐based platform components Apply evaluation techniques (LLM‐as‐judge, precision/recall … systems Strong understanding of system design and integration Experience building production AI/LLM‐powered applications Familiarity with Azure OpenAI (or similar) Understanding of RAG, NLP concepts, and evaluation techniques Experience with agent workflows or orchestration patterns Experience with ORMs (SQLAlchemy, Alembic, or similar) Strong API and data modelling skills ...

3. Use Case Shaping & Solutioning Identify, prioritize, and shape high-impact AI use cases across business functions Co-design solution architectures (copilots, agentic workflows, RAG systems) with architects/engineering, leveraging reusable patterns and accelerators Ensure alignment with enterprise architecture, data platforms/landing zones, and security standards to enable … rapid prototyping of copilots/agents (e.g., vibe coding) to validate value and architectural fit Core Skills AI/ML and GenAI fundamentals (LLMs, RAG, AI agents, MLOps) Business consulting, problem framing, and architecture-to-value storytelling Program leadership and stakeholder management across product, engineering, and architecture teams Commercial acumen ...

used across the business. AI Software Developer- Responsibilities Design and deliver practical AI solutions Build and maintain LLM-powered applications, including retrieval-augmented workflows and tools integrations Collaborate with product and engineering teams to embed AI capabilities into software suite Establish best practice and champion … Engineer Experience - delivering production-ready solutions using Python, TypeScript or C# Hands on experience building LLM-based applications and solid understanding of retrieval-augmented generation approaches Experience leading projects or parts of projects from design through delivery Product mindset and collaborative approach - able ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. ...

that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills …/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior ...

much as AI experience. What You'll Be Working On 🚀 Website chatbot and conversational AI products Internal AI tooling and automation Document processing pipelines RAG pipelines, LLM integrations and agent frameworks Taking POCs to production-grade systems at scale Skills and Experience 📈 Strong Python engineering fundamentals — this is an engineering … role first Hands-on experience with GenAI, LLMs, RAG or agent frameworks Product mindset with comfort owning end-to-end delivery Actively using AI tools in your own workflow (Claude, Copilot etc.) Fast-learning and motivated to move with a rapidly evolving space Nice to have: Full-stack experience (JavaScript ...

solutions into real-world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging … Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with LLMs (API integrations, prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy ...