51 to 75 of 191 Retrieval-Augmented Generation Jobs in England

Azure), ETL tools, and data visualization. Agentic AI edge – ideally familiar with tools like LangChain Agents, AutoGPT, CrewAI, plus GenAI/LLMs (Hugging Face, RAG, OpenAI). STEM degree with strong communication skills – explain complex AI simply, manage deliverables autonomously, fluent English Growth mindset; eager to learn 2026+ frameworks while ...

Azure), ETL tools, and data visualization. Agentic AI edge – ideally familiar with tools like LangChain Agents, AutoGPT, CrewAI, plus GenAI/LLMs (Hugging Face, RAG, OpenAI). STEM degree with strong communication skills – explain complex AI simply, manage deliverables autonomously, fluent English Growth mindset; eager to learn 2026+ frameworks while ...

Implementing MLOps foundations including CI/CD, automated testing, monitoring, drift detection and model versioning Building generative AI features such as RAG pipelines, embeddings, and AI agents Developing clean, testable code and APIs using modern engineering practices Ensuring technical delivery aligns with security, governance, architecture and enterprise standards Evaluating ...

following: You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact. You have knowledge of vector databases, RAG architectures and their integration into enterprise systems You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow. ...

teaching. Required experience: Previously built and deployed multi-agent systems end-to-end Strong hands-on expertise with LangGraph Experience with knowledge graphs, RAG and LLM tool orchestration Proven software engineering fundamentals (Python preferred) Solid MLOps grounding: Kubernetes, CI/CD, Docker, cloud platforms (GCP/AWS/Azure) Comfortable ...

teaching. Required experience: Previously built and deployed multi-agent systems end-to-end Strong hands-on expertise with LangGraph Experience with knowledge graphs, RAG and LLM tool orchestration Proven software engineering fundamentals (Python preferred) Solid MLOps grounding: Kubernetes, CI/CD, Docker, cloud platforms (GCP/AWS/Azure) Comfortable ...

problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance in AI systems. Experience with ...

problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance in AI systems. Experience with ...

/Vertex AI , including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications , leveraging RAG (Retrieval-Augmented Generation) , agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop … Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI . Experience with vector databases and retrieval ...

Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud ...

Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud ...

building GenAI applications using Python Hands-on experience with API development and microservices architecture and end-to-end integrations Knowledge of RAG (Retrieval-Augmented Generation) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows Hands-on experience with API development ...

StackOverflow to showcase your projects and personal passion for AI and Software Engineering. Keywords/Tech Focus: Python, Node.JS, GenAI, LLM, Agentic AI, MLOps, RAG, LangChain, LlamaIndex, AWS, TypeScript, Docker, Terraform, SaaS, London ...

fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores … ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape ...

analyse and summarise technical content into high-accuracy insights and reports • Deliver production-grade AI agent solutions such as intelligent assistants or insight-generation tools • Collaborate with research, engineering and strategy teams to support technical intelligence workflows • Perform any additional duties reasonably required to support project objectives Required … with agent development frameworks such as LangChain, AutoGen, LlamaIndex , etc • Strong proficiency in Prompt Engineering and Context Engineering • Working experience with RAG (Retrieval-Augmented Generation) • Excellent programming skills (Python preferred) • Solid software engineering background with experience delivering production-quality systems Desired Skills • Experience working ...

analyse and summarise technical content into high-accuracy insights and reports • Deliver production-grade AI agent solutions such as intelligent assistants or insight-generation tools • Collaborate with research, engineering and strategy teams to support technical intelligence workflows • Perform any additional duties reasonably required to support project objectives Required … with agent development frameworks such as LangChain, AutoGen, LlamaIndex , etc • Strong proficiency in Prompt Engineering and Context Engineering • Working experience with RAG (Retrieval-Augmented Generation) • Excellent programming skills (Python preferred) • Solid software engineering background with experience delivering production-quality systems Desired Skills • Experience working ...

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 ...

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 ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

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 ...

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 ...