201 to 225 of 252 Retrieval-Augmented Generation Jobs in England

extract patterns from one‐off work and turn them into reusable assets for others. Applied AI and Agentic Systems Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems. Ability to reason about multi‐agent, human‐in‐the‐loop, and enterprise integration patterns. Comfort debugging agent behavior ...

extract patterns from one-off work and turn them into reusable assets for others.**Applied AI and Agentic Systems*** Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems.* Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns.* Comfort debugging agent behavior ...

tooling and standards while leading hands-on development and mentoring engineers across cloud and API-enabled platforms. You will work with Python, LLMs, and RAG, influencing technical direction and delivering scalable AI capabilities within the organization. #J-18808-Ljbffr ...

governance across multiple accounts, while communicating effectively with business stakeholders. The role requires hands-on Azure Foundry and OpenAI experience, strong modeling and RAG-based knowledge, and the ability to oversee secure, scalable AI workloads in regulated environments. #J-18808-Ljbffr ...

Senior AI Evangelist to lead design and delivery of Generative AI solutions for clients. You will architect end-to-end AI systems, including LLMs, RAG, multi-agent workflows, and MCP-based integrations, collaborating with cross‐functional teams to meet defined metrics. The role requires hands-on expertise with modern ...

zones, networking, security, governance) Design scalable cloud, data, and AI solutions Deliver modern data platforms (Fabric, Databricks, data lakes) Shape AI solutions (Azure OpenAI, RAG, copilots) Run client workshops and act as technical lead on engagements Support pre-sales, bids, and solution design What Were Looking For 610+ years Azure ...

Technology, Media or Telecoms sectors. Deep understanding of the Generative AI landscape and its commercial applications, with familiarity across technologies such as LLMs, RAG architectures, vector search, prompt design and AI platform operations. Experience overseeing the end-to-end delivery of AI initiatives, working closely with technical specialists to shape ...

tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge … multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment. Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages ...

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 ...

service platforms that allow teams to rapidly integrate AI into coding, testing, deployment, monitoring and operations. You'll establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance, ensuring AI capabilities are scalable, secure and production ready. Beyond the technology, you'll play a pivotal … delivering large-scale, developer facing platforms and leading complex technical initiatives You have hands-on experience building AI-enabled applications using LLMs, agentic frameworks, RAG, prompt engineering and modern GenAI tooling You have a strong knowledge of software engineering fundamentals, including system design, APIs, CI/CD, testing, observability, cloud ...

extract patterns from one‐off work and turn them into reusable assets for others. Applied AI and Agentic Systems Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems. Ability to reason about multi‐agent, human‐in‐the‐loop, and enterprise integration patterns. Comfort debugging agent behavior ...

leaders to drive AI-enabled transformation across enterprises, leading engagements from discovery to execution and shaping AI strategy. You will translate GenAI, LLMs, RAG into actionable roadmaps, engage C-suite stakeholders, and contribute to revenue growth with strong consulting acumen. The role offers hybrid working across London, Manchester or Glasgow ...

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 ...

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 ...

release notes, production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have: Experience managing a team, as this role … services (e.g., FastAPI) and modern web stacks (e.g., Next.js/React.js) in real-world delivery. Practical experience delivering GenAI/agentic solutions (prompt engineering, RAG, governance patterns) in production or controlled enterprise environments. Worked with data pipelines/SQL databases/Mongo databases or Document storages. Why join our team ...

Requirements gathering from business users AI & Automation Experience with Generative AI tools Prompt engineering Basic understanding of LLMs and RAG (Retrieval Augmented Generation) AI use case identification, assessment and delivering from concept through to implementation and adoption. Familiarity with Microsoft Copilot, ChatGPT Enterprise ...

Data Science AI Engineer - RAG Chatbot LangGraph exp London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data … exploration, modelling, experimentation, and production deployment — while contributing to systems used by global What you'll be working on as Data Science AI Engineer - RAG Chatbot LangGraph exp: AI Agents powered by LLMs and advanced RAG/Agentic architectures. LLM Chatbots that support user’s queries through automated search, content ...

Agent runtime development: build robust infrastructure for packaging, deploying, and managing agents in containers. RAG integration: enhance agent capabilities with Retrieval‐Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus). Evaluation & testing: design robust evaluation frameworks to measure agent performance … agent development. Proven ability to design scalable, distributed systems. Deep understanding of Docker, containerization best practices, and orchestration. Experience building Retrieval‐Augmented Generation systems (secondary focus). Demonstrated ability to prototype quickly and iterate based on feedback. Experience with AI frameworks such as CrewAI ...

theoretically. We are already building it. We are looking for a Director, Generative AI Experience Engineering to help define and deliver the next generation of AI‐native customer experiences across commerce, content and customer interfaces for some of the world’s most ambitious brands. This role sits … edge rendering Component systems and frontend orchestration AI Ecosystems & Orchestration Experience across modern AI ecosystems including OpenAI, Gemini, Claude and OSS models RAG pipelines, vector databases, embeddings and chunking Tool calling, agentic systems, orchestration and memory frameworks Prompt engineering, prompt management and context engineering AI observability, evaluations, governance and guardrails ...

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 ...

Copilot deployments, including security, prompt design and adoption tracking Help design, prototype, and test AI solutions, including Large Language Model (LLM) integrations, retrieval-augmented generation, agentic workflows and structured-output patterns Build well-scoped components and ship them through GitHub and Azure DevOps pipelines ...

teams. Design and deliver Voice AI/Agentic IVR solutions leveraging: Google CES/CXAS, Dialogflow CX/CCAI Vertex AI (LLMs, RAG, agent frameworks) Define and implement enterprise data architecture for Voice AI: Conversation data pipelines (real-time + batch) Integration with data lakes, warehouses (BigQuery) Customer … contextual data enablement Build RAG-based knowledge systems integrating structured and unstructured banking data. Architect data-driven decisioning for voice agents (personalization, next-best action, fraud detection signals). Ensure integration with core banking, CRM, and analytics platforms . Establish data governance, lineage, quality, and compliance frameworks (GDPR ...

able to demonstrate and evidence experience of delivering the below: Key criteria: * Proven, demonstratable experience in AI-driven and AI-assisted testing, including GenAI, RAG-based systems, intelligent automation, and tools such as GitHub Copilot, Amazon Q, and Cursor AI * Proven experience in innovation and PoCs, particularly … test generation and regression optimisation * Senior QA/SDET with experience across web, mobile, API, desktop, and cloud testing * Expertise in test automation frameworks including Selenium, Playwright, Appium, Rest Assured, and TestNG * Capability in designing and delivering scalable automation frameworks and enterprise test strategies * Extensive experience ...

Months Rolling Contract We are looking for an experienced GenAI Python Engineer with strong hands-on experience building end-to-end Generative AI and RAG applications within enterprise environments. The successful candidate will be responsible for integrating data from multiple systems, extracting and parsing information from documents and images, working … robust retrieval pipelines, and ensuring solution quality through evaluation frameworks and ground-truth validation. Key Responsibilities Design and build enterprise GenAI and RAG-based applications using data from multiple systems. Integrate structured and unstructured data sources, including databases, APIs, files and document repositories. Develop pipelines for extracting ...

production-ready. Technology The successful candidate will work with modern cloud platforms (AWS or similar), vector databases, knowledge graphs, retrieval systems, embeddings, RAG architectures, data pipelines, APIs and contemporary AI tooling. What they're looking for Strong commercial experience in senior data engineering, knowledge engineering or a closely … technologies and architectures rather than defaulting to a single solution. Strong software engineering and cloud platform fundamentals. Nice to have Experience with production-scale RAG architectures and retrieval evaluation. Knowledge of emerging open knowledge standards and interoperable knowledge formats. Experience with context engineering for AI agents ...