24 of 24 Contract Retrieval-Augmented Generation Jobs in the UK

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 ...

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 ...

audit-focused position. Key Requirements Strong AI Security, Cloud Security or Security Architecture background. Hands-on experience securing LLMs, GenAI, RAG solutions and AI agents. Experience with Azure OpenAI, AI Foundry and ideally GCP Vertex AI. AI threat modelling, red teaming, prompt injection testing and security control design. Engineering ...

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 ...

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 ...

highly regulated environments Strong understanding of software architecture and API design IT WOULD BE NICE FOR THE AI SOFTWARE ENGINEER TO HAVE.... Experience with RAG pipelines and vector databases Knowledge of MLOps tooling and CI/CD pipelines Exposure to Palantir Foundry or similar data platforms Experience working on National … Engineer/Machine Learning Engineer/LLM Engineer/Python/AWS/Azure/Docker/Kubernetes/Generative AI/NLP/RAG/MLOps/UKSV DV/Outside IR35/London ...

highly regulated environments Strong understanding of software architecture and API design IT WOULD BE NICE FOR THE AI SOFTWARE ENGINEER TO HAVE. Experience with RAG pipelines and vector databases Knowledge of MLOps tooling and CI/CD pipelines Exposure to Palantir Foundry or similar data platforms Experience working on National … Engineer/Machine Learning Engineer/LLM Engineer/Python/AWS/Azure/Docker/Kubernetes/Generative AI/NLP/RAG/MLOps/UKSV DV/Outside IR35/London ...

solutions and can clearly explain both the concepts and the implementation behind them. Essential Experience Building and deploying production LLM applications Strong experience with RAG including: Document ingestion Chunking strategies Embeddings Vector search and retrieval Context engineering Prompt orchestration LLM deployment experience, not just experimentation Azure OpenAI, Ollama … Hallucination detection Response quality measurement Accuracy testing Prompt and context engineering What We're Looking For You should be able to confidently explain: What RAG is and how to build it end to end How embeddings and vector databases work How to deploy and operate LLMs in production ...

maintain robust automation solutions that streamline workflows and enhance operational efficiency. Collaborate with cross-functional teams to extend existing agent-based solutions and RAG implementations. Take ownership of the full software lifecycle: build, deploy, monitor, and tune solutions in a live environment. Ensure production maturity by transitioning solutions from proof … practises. Production Focus : A solid engineering mindset with the capability to extend existing automation rather than starting from scratch. Desired Qualifications: Experience with RAG architecture implementation and vector databases. Exposure to Azure AI and OpenAI technologies. Familiarity with enterprise workflow automation and agentic AI frameworks. Financial Services Adecco ...

maintain robust automation solutions that streamline workflows and enhance operational efficiency. Collaborate with cross-functional teams to extend existing agent-based solutions and RAG implementations. Take ownership of the full software lifecycle: build, deploy, monitor, and tune solutions in a live environment. Ensure production maturity by transitioning solutions from proof … practises. Production Focus : A solid engineering mindset with the capability to extend existing automation rather than starting from scratch. Desired Qualifications: Experience with RAG architecture implementation and vector databases. Exposure to Azure AI and OpenAI technologies. Familiarity with enterprise workflow automation and agentic AI frameworks. Financial Services Adecco ...

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 ...

booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines … WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, ecommerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical ...

booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines … WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, ecommerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical ...

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 ...

development, staging, and production environments Build and improve CI/CD pipelines Deploy backend, frontend, and AI services Operate infrastructure for AI agents and RAG workflows Manage PostgreSQL, Redis, object storage, and networking Improve monitoring, logging, and alerting Strengthen security, IAM, secrets, and backups Troubleshoot production issues Define operational standards … Strong PostgreSQL administration experience Experience building CI/CD pipelines (GitHub Actions or similar) Experience operating managed cloud services Experience supporting AI agent or RAG infrastructure is a plus Strong knowledge of cloud security, IAM, TLS, and secrets management Pragmatic mindset with a strong sense of ownership Excellent communication ...

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 ...