76 to 100 of 238 Retrieval-Augmented Generation Jobs in England

Proven ability to transition validated models into production-ready systems with appropriate governance Exposure to LLM/Generative AI applications, including prompt engineering and RAG architectures Ability to communicate complex technical concepts clearly to non-technical stakeholders Experience working in cross-functional teams to deliver production solutions Eligibility and willingness ...

Proven ability to transition validated models into production-ready systems with appropriate governance Exposure to LLM/Generative AI applications, including prompt engineering and RAG architectures Ability to communicate complex technical concepts clearly to non-technical stakeholders Experience working in cross-functional teams to deliver production solutions Eligibility and willingness ...

Machine Learning , and the wider Microsoft ecosystem. Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph. Design and implement RAG (Retrieval-Augmented Generation) systems and integrate them into business processes. Integrate OpenAI GPT models , embeddings, and vector stores into production-grade solutions. … What We’re Looking For Strong experience building AI/LLM solutions on Azure AI , Azure ML, or similar cloud environments. Practical experience implementing RAG pipelines , embeddings, and vector search. Exposure to agent-based architectures and workflow orchestration. Solid Python engineering skills, including familiarity with ML frameworks and LLM toolchains. ...

Machine Learning , and the wider Microsoft ecosystem. Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph. Design and implement RAG (Retrieval-Augmented Generation) systems and integrate them into business processes. Integrate OpenAI GPT models , embeddings, and vector stores into production-grade solutions. … What We’re Looking For Strong experience building AI/LLM solutions on Azure AI , Azure ML, or similar cloud environments. Practical experience implementing RAG pipelines , embeddings, and vector search. Exposure to agent-based architectures and workflow orchestration. Solid Python engineering skills, including familiarity with ML frameworks and LLM toolchains. ...

Engineer – Key Responsibilities Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs Developing and testing agentic architectures enabling AI agents that reason, retrieve … least one language suited to AI systems and data workflows Experienced integrating models with APIs, data sources or production systems Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks Familiar with cloud-native platforms (AWS/Azure/GCP) and DevOps/DevSecOps practices Collaborative, curious ...

engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction, interfacing with data teams Experience or strong curiosity working with Azure and Azure Databricks ...

engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction, interfacing with data teams Experience or strong curiosity working with Azure and Azure Databricks ...

Services industry. Experience with Generative AI, Large Language Models (LLMs), and advanced frameworks like: LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills ...

Services industry. Experience with Generative AI, Large Language Models (LLMs), and advanced frameworks like: LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills ...

production code practices) alongside practical TypeScript experience for bot or workflow integrations. Hands-on experience with LLM or conversational-AI systems , including model APIs, RAG patterns, or agent frameworks. Solid Kubernetes and Docker skills , with at least one real production service shipped in containers. Good command of SQL and data ...

production code practices) alongside practical TypeScript experience for bot or workflow integrations. Hands-on experience with LLM or conversational-AI systems , including model APIs, RAG patterns, or agent frameworks. Solid Kubernetes and Docker skills , with at least one real production service shipped in containers. Good command of SQL and data ...

Experience delivering customer-facing products and supporting the full development lifecycle. Excellent communication, stakeholder engagement, and advisory skills. Desirable Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel. Familiarity with Microsoft Power Platform. Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps. Exposure to edge computing ...

Experience delivering customer-facing products and supporting the full development lifecycle. Excellent communication, stakeholder engagement, and advisory skills. Desirable Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel. Familiarity with Microsoft Power Platform. Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps. Exposure to edge computing ...

Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart. Build the Backend ...

Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart. Build the Backend ...

Permanent Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face ...

Permanent Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face ...

modern language, producing production quality code. Practical experience building solutions using generative AI and LLMs, including prompt and flow design, retrieval augmented generation, tool and function calling, evaluation, and iteration. Experience applying agentic AI patterns such as multi step orchestration and tool usage, planning ...

high-impact projects while building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed ...

high-impact projects while building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed ...

strong parent-company backing. Key Responsibilities Design and deploy AI features (intelligent search, procurement agents, predictive maintenance). Build and integrate LLM-driven agents , RAG pipelines, and predictive models. Collaborate with software engineers to embed AI securely into production. Define AI standards , select tools, and shape the technical roadmap. Opportunity ...

tools, and enterprise connectors. Skills: 6–8 years in Software/application engineering, AI engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ...

tools, and enterprise connectors. Skills: 6–8 years in Software/application engineering, AI engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ...

platform, evaluate complex product flows and own multimodal pre-processing & retrieval. Required : Strong backend engineering in Python Working with APIs Model assessment Agentic systems RAG Product-mindset Collaborative To find out more, please apply with your resume. ...

platform, evaluate complex product flows and own multimodal pre-processing & retrieval. Required : Strong backend engineering in Python Working with APIs Model assessment Agentic systems RAG Product-mindset Collaborative To find out more, please apply with your resume. ...