26 to 50 of 222 Retrieval-Augmented Generation Jobs in the South East

production-grade LLM applications on Azure. You’ll work on AI-enabled and augmented intelligence solutions such as retrieval-augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability, performance, security, and continuous improvement. Main Duties and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs …/Word/Excel/Audio/JSON and semi-structured sources. Design RAG systems : chunking strategies, document schemas, metadata, hybrid/dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search , pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and … Vault , private networking. Add observability : tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA : regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win-rate testing. Ensure reliability : rate-limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache More ❯

AI Technical Consultant Engineer L LM, Python, RAG, Data Analyst – SQL, Tableau, R, Python, Gen AI & Machine Learning. Hybrid working, office location Weybridge, Surrey. The role: Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for More ❯

AI Technical Consultant Engineer L LM, Python, RAG, Data Analyst – SQL, Tableau, R, Python, Gen AI & Machine Learning. Hybrid working, office location Weybridge, Surrey. The role: Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for More ❯

/ML Solution Development : Design and implement advanced AI solutions spanning traditional machine learning, Generative AI, and Agentic AI paradigms. This includes leading hands-on development of models and RAG pipelines to support enterprise-grade LLM applications. MLOps and LLMOps : Build and maintain scalable MLOps and LLMOps pipelines, enabling automation of model training, testing, deployment, and monitoring. Enable reproducibility, traceability More ❯

A leading multi-strategy investment firm is seeking a Senior AI Engineer to join a high-impact Applied AI team focused on building next-generation tools that enhance decision-making across the investment lifecycle. Operating at the intersection of finance and machine intelligence, the team is responsible for developing production-grade AI systems that empower portfolio managers, analysts … containerised environments (Docker, Kubernetes). Solid grasp of distributed systems, networking, and infrastructure-as-code practices. Familiarity with vector databases, retrieval-augmented generation (RAG), and LLM integration is a plus. Exposure to cloud platforms (AWS preferred) and messaging systems (Kafka, RabbitMQ) is advantageous. Strong communication skills and the ability to work across technical and More ❯

A leading multi-strategy investment firm is seeking a Senior AI Engineer to join a high-impact Applied AI team focused on building next-generation tools that enhance decision-making across the investment lifecycle. Operating at the intersection of finance and machine intelligence, the team is responsible for developing production-grade AI systems that empower portfolio managers, analysts … containerised environments (Docker, Kubernetes). Solid grasp of distributed systems, networking, and infrastructure-as-code practices. Familiarity with vector databases, retrieval-augmented generation (RAG), and LLM integration is a plus. Exposure to cloud platforms (AWS preferred) and messaging systems (Kafka, RabbitMQ) is advantageous. Strong communication skills and the ability to work across technical and More ❯

root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product More ❯

root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product More ❯

root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product More ❯

recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to … within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: Design, implement and maintain scalable NLP and GenAI pipelines (including … to date with state-of-the-art research in the space of LLMs/NLP, proposing new ideas and methodologies that unlock business value. Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation. Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results. Collaborate with More ❯

recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to … within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: Design, implement and maintain scalable NLP and GenAI pipelines (including … to date with state-of-the-art research in the space of LLMs/NLP, proposing new ideas and methodologies that unlock business value. Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation. Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results. Collaborate with More ❯

development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects end-to-end Experience with Retrieval-Augmented Generation (RAG) Experience with Azure AI Foundry would be beneficial Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills More ❯

development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects end-to-end Experience with Retrieval-Augmented Generation (RAG) Experience with Azure AI Foundry would be beneficial Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills More ❯

AI technology. This is a hands-on, customer-facing role responsible for designing and delivering enterprise-grade AI solutions leveraging retrieval-augmented generation (RAG), fine-tuning, and inference deployment across 's sovereign AI Mesh. You'll blend deep technical expertise with commercial acumen — engaging customers, architecting solutions, and ensuring seamless deployment of AI systems … that drive real-world transformation. Key Responsibilities: Customer Solution Design Engage with enterprise customers to understand business goals and map them to AI workflows. Architect RAG pipelines, fine-tuning strategies, and inference endpoint deployments using our key products Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts. AI and ML Engineering Implement, optimise, and … foundation models for domain-specific use cases. Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU-accelerated environments). Data and Knowledge Integration (RAG) Build pipelines that connect structured and unstructured enterprise data into vector databases and embedding models . Design semantic search and retrieval strategies to maximise response accuracy and relevance. More ❯

to £90,000 (DOE) + performance bonus Permanent Hybrid UK nationals only | Must hold SC clearance About the Role An innovative UK technology company is developing a next-generation AI platform designed for defence and health applications. Were looking for a Software Engineer who thrives on learning quickly, solving complex technical problems, and building systems that make a … driven business. What Youll Work On Design, build, and scale intelligent systems and microservices Develop AI-driven capabilities (e.g. LLMs, retrieval-augmented generation (RAG), and AI agents) Build and maintain APIs, data pipelines, and backend components (primarily Python, FastAPI, or Flask) Engineer robust, containerised architectures using Docker and Kubernetes Work with ElasticSearch, Weaviate, Pinecone More ❯

in the week, 4 days remote) UK nationals only (no dual nationality) | Must hold SC clearance About the Role An innovative UK technology company is developing a next-generation AI platform designed for defence and health applications. We’re looking for a Software Engineer who thrives on learning quickly, solving complex technical problems, and building systems that make … business. What You’ll Work On Design, build, and scale intelligent systems and microservices Develop AI-driven capabilities (e.g. LLMs, retrieval-augmented generation (RAG), and AI agents) Build and maintain APIs, data pipelines, and backend components (primarily Python, FastAPI, or Flask) Engineer robust, containerised architectures using Docker and Kubernetes Work with ElasticSearch, Weaviate, Pinecone More ❯

opportunities and deliver scalable AI workflows. You will design prompts, integrate Large Language Models (LLMs) with enterprise systems, and implement Retrieval-Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: Working closely with Heads of departments to scope out projects Designing and optimizing prompts … for reliable LLM outputs Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools Implementing RAG pipelines to link enterprise data with LLMs Prototyping and iterating to demonstrate business value quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with … LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG pipelines Excellent communication skills to translate business problems into technical solutions Experience working in agile or fast-paced environments 3+ years experience Location & Working Model Based in London Five days More ❯

opportunities and deliver scalable AI workflows. You will design prompts, integrate Large Language Models (LLMs) with enterprise systems, and implement Retrieval-Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: Working closely with Heads of departments to scope out projects Designing and optimizing prompts … for reliable LLM outputs Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools Implementing RAG pipelines to link enterprise data with LLMs Prototyping and iterating to demonstrate business value quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with … LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG pipelines Excellent communication skills to translate business problems into technical solutions Experience working in agile or fast-paced environments 3+ years experience Location & Working Model Based in London Five days More ❯

opportunities and deliver scalable AI workflows. You will design prompts, integrate Large Language Models (LLMs) with enterprise systems, and implement Retrieval-Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: Working closely with Heads of departments to scope out projects Designing and optimizing prompts … for reliable LLM outputs Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools Implementing RAG pipelines to link enterprise data with LLMs Prototyping and iterating to demonstrate business value quickly Advising on best practices for responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with … LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG pipelines Excellent communication skills to translate business problems into technical solutions Experience working in agile or fast-paced environments 3+ years experience Location & Working Model Based in London Five days More ❯

in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge of frameworks such as ReAct, AutoGen, CrewAI, or BabyAGI. Understanding of ethical AI and governance standards. More ❯

in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge of frameworks such as ReAct, AutoGen, CrewAI, or BabyAGI. Understanding of ethical AI and governance standards. More ❯

in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge of frameworks such as ReAct, AutoGen, CrewAI, or BabyAGI. Understanding of ethical AI and governance standards. More ❯

experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission More ❯

experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission More ❯

experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission More ❯