1 to 25 of 26 Contract Retrieval-Augmented Generation Jobs in England

bridging the gap between offshore edge developers and on-site operational technology (OT) engineers. Industrial AI & Machine Learning Integration (Good to have) Generative AI & RAG Architectures: Design and deploy Retrieval-Augmented Generation (RAG) pipelines to contextualize Large Language Models (LLMs) with proprietary OT data ...

responsible for: Designing and developing AI agents using modern LLM frameworks Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources Developing and deploying Machine Learning models for intelligent decision-making Integrating AI services with enterprise APIs and data platforms Engineering prompts, tool calling ...

objectives. Nice to have Experience with Microsoft Fabric, Power Platform or Microsoft 365. Exposure to Retrieval-Augmented Generation (RAG), AI agents or AI automation. Microsoft certifications in Azure or AI technologies. Experience working within large enterprise organisations. Contract details 12-month contract ...

governance position: you make the architectural calls rather than facilitate them. You will: Design large-scale agentic AI architectures: LLM document processing, structured extraction, RAG, invoice-to-contract matching Own low-level design decisions, including API design, data models and service boundaries Set and drive technical processes: engineering standards, security ...

practices within engineering teams Drive improvements in automation frameworks and testing tools Provide expert oversight on AI model validation, including Generative AI and RAG solutions Identify risks early and implement mitigation strategies Mentor and coach engineers to build strong testing capability across teams Key Responsibilities Define and deliver testing strategies … platforms) Proficiency in one or more: Python, Java, JavaScript, SQL, or R Proven experience in: AI/Generative AI testing RAG (Retrieval-Augmented Generation) solution validation (e.g. RAGAS framework) CI/CD, DevOps, and cloud-based test integration Ability to define and implement ...

practices within engineering teams Drive improvements in automation frameworks and testing tools Provide expert oversight on AI model validation, including Generative AI and RAG solutions Identify risks early and implement mitigation strategies Mentor and coach engineers to build strong testing capability across teams Key Responsibilities Define and deliver testing strategies … platforms) Proficiency in one or more: Python, Java, JavaScript, SQL, or R Proven experience in: AI/Generative AI testing RAG (Retrieval-Augmented Generation) solution validation (e.g. RAGAS framework) CI/CD, DevOps, and cloud-based test integration Ability to define and implement ...

similar platforms. Exposure to cloud technologies, APIs and solution integrations. Knowledge of Python, scripting or other programming languages. Understanding of prompt engineering, agent orchestration, RAG or AI evaluation techniques. Experience supporting AI capability building, training or adoption initiatives. Knowledge of AI governance, risk management and responsible AI principles. ...

coding standards and best practices · Guide evaluation and safety approaches · Support production deployments and troubleshooting Hands-on Skills Required · Design multi-agent solutions · Design RAG architecture · Implement complex orchestration workflows · Build scalable AI microservices · Define AI governance patterns · Troubleshoot production AI solutions ...

coding standards and best practices Guide evaluation and safety approaches Support production deployments and troubleshooting Hands-on Skills Required Design multi-agent solutions Design RAG architecture Implement complex orchestration workflows Build scalable AI microservices Define AI governance patterns Troubleshoot production AI solutions Technologies Azure OpenAI Azure AI Foundry Semantic Kernel ...

Experience with MCP and Vertex/storage-related infrastructure Strong understanding of AI architecture, orchestration, and scalable deployment practices Preferred Experience Building AI agents, RAG pipelines, or enterprise AI applications Working with cloud-based AI/ML platforms and data storage solutions Collaborating with engineering and product teams to deliver ...

organisation. You'll be responsible for Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple engineering teams Designing production-grade RAG architectures Establishing LangGraph and LangChain implementation patterns Designing scalable vector database retrieval strategies Leading best practice across MLOps, CI/CD and model … engineering stakeholders without direct line management We're looking for someone with deep experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than ...

Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. ...

Studio. Experience designing and building LLM agents or AI-powered workflows using Azure OpenAI or similar technologies Knowledge of Retrieval Augmented Generation (RAG), vector search or agent orchestration frameworks would be advantageous If this sounds like a good fit, apply now as interviews commence ...

Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability … applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture, and DevOps practices. Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. Strong ...

DevOps best practices. Collaborate with architects, product teams, and engineers to deliver high-quality solutions. Contribute to AI-enabled application development, including LLM and RAG integrations where applicable. Required Skills 10+ years of software engineering experience. Strong hands-on expertise in Java and/or Python. Cloud-native application development … APIs. Event-driven architecture (Kafka, Event Hub, RabbitMQ, etc.). CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Banking or Financial Services domain ...

pipelines. The engineer must also ensure solution quality through evaluation frameworks, ground-truth validation, and defined performance metrics. Key Responsibilities Design and buildGenAI/RAG-based applicationsusing data from multiple enterprise systems. Integrate withstructured and unstructured data sources, including databases, APIs, files, and document repositories. Develop pipelines toparse and extract ...

Skills Strong banking domain expertise (retail, lending, payments, contact center) Expertise in Conversational AI/IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 1218+ years in enterprise architecture/solution design Proven experience in onsite client-facing roles ...

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 ...

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 ...

engineer must also ensure solution quality through evaluation frameworks, ground-truth validation, and defined performance metrics. Key Responsibilities Design and build GenAI/RAG-based applications using data from multiple enterprise systems. Integrate with structured and unstructured data sources, including databases, APIs, files, and document repositories. Develop pipelines to parse … performance. Required Skills and Experience Strong experience in AI/ML engineering, with hands-on exposure to Generative AI use cases. Experience in building RAG applications in enterprise environments. Strong knowledge of document parsing, OCR, and image-based data extraction. Experience with LLM orchestration frameworks and prompt design. Experience with ...

Doing Rapidly prototype, build and validate new AI-driven solutions, taking concepts from idea to working demo in days. Develop components using LLMs, RAG, prompt engineering and modern agent frameworks . Work closely with architects, product leaders and engineers to de-risk emerging technologies and shape future solutions. Leverage … Strong software engineering experience with C#/.NET Core, Angular/TypeScript and Python . Practical experience working with AI technologies including LLMs, RAG, agent frameworks and prompt engineering . A track record of rapidly building prototypes, MVPs and proof-of-concepts. Experience within insurance, reinsurance, risk analytics or financial ...

data platform. You will design test strategies, validate AI models, and build automated quality gates within complex cloud and data pipelines. Key Responsibilities AI & RAG Validation: Define evaluation frameworks to validate GPT responses, summarisation accuracy, and RAG performance. Automation & CI/CD: Build and maintain automated test frameworks integrated into ...

solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice. Provide technical leadership, mentoring and guidance … strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development ...