676 to 700 of 878 Retrieval-Augmented Generation Jobs in the UK

Developing AI solutions that can reason, retrieve information, make decisions and take actions Working with business data to develop intelligent applications and automation Developing RAG, vector search, embeddings and knowledge-based AI solutions Evaluating new LLMs, AI frameworks and emerging technologies Taking AI concepts from initial idea through to production … following: Agentic AI/AI Agents LLM application development OpenAI, Azure OpenAI, Anthropic, Gemini or similar LLM orchestration and tool/function calling RAG and retrieval-based AI Vector databases and embeddings AI workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases ...

closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic … Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands ...

closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic … Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands ...

closely with engineers to translate validated approaches into scalable, customer-facing solutions. **Key Responsibilities:*** Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).* Define agentic workflows and reasoning strategies for multi-step IP tasks.* Develop retrieval strategies, including hybrid search (semantic … Strong experience designing and running experiments, including model evaluation and iteration.* Strong coding skills in Python.* Experience with generative AI techniques (e.g., prompt engineering, RAG).* Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.* Experience designing agentic workflows and reasoning strategies, with hands ...

seeking an experienced AI Architect/Engineer to act as the senior technical authority shaping how we design and deliver next‐generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM‐powered applications … plans. Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery. Define LLM integration and prompting strategies, including RAG, fine‐tuning, evaluation, and guard‐railing approaches. Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready. Set architectural standards, reusable ...

backend services, and conversational interfaces. Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution. Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling … experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces. Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments. Experience with ...

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 ...

multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environmentsEstablishes engineering standards for LLM-based applications — RAG pipelines, embedding workflows, vector store integrations, and model serving — ensuring safety, observability, and reproducibility at scaleDrives adoption of advanced technical methods and practices aligned with … 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 ...

will be responsible for turning business use cases into scalable, production-ready AI and data solutions. This will include building AI agents, developing RAG capabilities, automating workflows and creating data products that support balance sheet modelling and wider business objectives. The role is highly hands-on and will suit … automation while taking solutions from initial concept through to production. Key Responsibilities Design and build production-ready AI agents and agentic workflows. Develop RAG solutions and AI-powered applications. Translate business requirements and use cases into scalable technical solutions. Build and maintain data pipelines and reusable data components. Develop balance ...

platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization. We're excited about you because you have...BSc, MSc, or PhD in Computer Science or equivalent3+ … developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion ...

platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization. We're excited about you because you have...BSc, MSc, or PhD in Computer Science or equivalent3+ … developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next‐generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … impact, ideally in enterprise environments. Practical experience working with large language models (ideally in a enterprise or start‐up setting): prompt engineering, agent development, RAG pipelines, evaluation frameworks, workflows, and deployment. Technical Skills Solid programming proficiency (we are open to any experience but primary languages include: TypeScript and the JavaScript ...

evolving our AI products Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms Shape the next generation of agentic AI products: multi-step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals Demonstrate a working understanding of the challenges specific … product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI products Working knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level) Experience shipping AI products where output quality is probabilistic ...

company's internal AI platform and turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks … languages Full-stack capability, including back-end and data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client-facing experience and an understanding of enterprise security ...

deliver production-grade generative AI and agentic solutions using Microsoft Foundry/Azure AI Foundry, Azure OpenAI and Foundry Agent Service . Build RAG solutions using Azure AI Search and enterprise data sources. Work across model selection, prompt orchestration, grounding, memory, tool calling and agent workflows. Develop application and integration … Foundry, Azure AI Studio or Azure OpenAI solution into production. Strong software engineering capability in Python, C#, .NET or TypeScript . Practical experience with RAG, vector search, agents, tool calling or modern generative AI patterns . Experience evaluating AI quality beyond manual demonstrations. Strong understanding of enterprise Azure architecture, security ...

cloud services (compute, storage, networking, security). Desirable Exposure to applying AI/ML techniques to business problems. Exposure to GenAI, LLMs, RAG or agent-based workflows. Experience using AI-assisted development tooling (e.g. GitHub Copilot, Cursor) to accelerate delivery. Experience working in an agile environment. Experience in financial services … such as Streamlit or ReactJS. Awareness of the AI/ML model lifecycle, training data, evaluation, tuning, monitoring. Awareness of GenAI concepts, prompting, embeddings, RAG, vector databases. Knowledge of Snowflake specifically, and its integration patterns on AWS. Awareness of enterprise architecture, security and regulatory considerations in financial services. Disability Confident ...

cloud services (compute, storage, networking, security). Desirable Exposure to applying AI/ML techniques to business problems. Exposure to GenAI, LLMs, RAG or agent-based workflows. Experience using AI-assisted development tooling (e.g. GitHub Copilot, Cursor) to accelerate delivery. Experience working in an agile environment. Experience in financial services … such as Streamlit or ReactJS. Awareness of the AI/ML model lifecycle, training data, evaluation, tuning, monitoring. Awareness of GenAI concepts, prompting, embeddings, RAG, vector databases. Knowledge of Snowflake specifically, and its integration patterns on AWS. Awareness of enterprise architecture, security and regulatory considerations in financial services. Disability Confident ...

Transform customer journeys and service interactions using data, CCaaS platforms and AI to create seamless and consistent experiences Contribute to building and delivery of RAG pipelines, multi-agent orchestration and eval frameworks for enterprise-scale AI deployments Be a technical advisor Support client teams on AI architecture decisions, platform selection … regulated environments. Core experience Strong engineering background with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock ...

Transform customer journeys and service interactions using data, CCaaS platforms and AI to create seamless and consistent experiences Contribute to building and delivery of RAG pipelines, multi‐agent orchestration and eval frameworks for enterprise‐scale AI deployments Be a technical advisor Support client teams on AI architecture decisions, platform selection … regulated environments. Core experience Strong engineering background with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform (AWS Bedrock ...

customers Transform customer journeys and service interactions using data, CCaaS platforms and AI to create seamless and consistent experiences Build and lead delivery of RAG pipelines, multi-agent orchestration and eval frameworks for enterprise-scale AI deployments Be a trusted technical advisor Advise clients on AI architecture decisions, platform selection … environment. Core experience Strong engineering background with production experience in Python and similar languages across AI systems Proven track record of architecting and delivering RAG pipelines, multi-agent systems or LLM-based products at enterprise scale Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock ...

Build and maintain inference-time integrations such as model gateways, APIs, caching, fallbacks, timeouts, and concurrency controls for production AI systems Implement retrieval-augmented generation components where applicable, including chunking, embeddings, retrieval, and grounding strategies Build REST and gRPC endpoints following agreed … cause analysis Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within ...

financial reporting platform. Engineer Digital Integrated Agents for JTC's client-facing digital products, enabling non-linear user journeys, content and dynamic UI generation, conversational AI-enabled analytics and reporting, and persona-aware hyper-personalisation services. Deliver the enterprise document extraction platform and agent supporting workflows across service … from prototype through governed production deployment and ongoing operation. Deep hands-on expertise in LLMs and agentic systems: prompt and context engineering, retrieval-augmented generation, tool/MCP orchestration, multi-agent workflows and evaluation frameworks. Experience with the Anthropic stack (Claude, Claude Code, agent ...

/ELT, SQL and Python. Analytics and BI - Power BI, semantic modelling, governance and performance. Applied and Generative AI on Azure - retrieval-augmented generation, Azure OpenAI, Azure AI Search. Consulting skills to match - shaping requirements, engaging stakeholders, and delivering to a high standard. Engagements ...

with Azure OpenAI, Azure AI Document Intelligence or comparable cloud-based AI and document-processing services. Experience designing solutions involving generative AI, retrieval-augmented generation or AI agents. Knowledge of secure prompt design, model governance, data privacy and responsible AI controls. Experience with ...

with Azure OpenAI, Azure AI Document Intelligence or comparable cloud-based AI and document-processing services. Experience designing solutions involving generative AI, retrieval-augmented generation or AI agents. Knowledge of secure prompt design, model governance, data privacy and responsible AI controls. Experience with ...