51 to 75 of 75 Retrieval-Augmented Generation Jobs in the Thames Valley

Developing and optimizing models for image recognition, object detection, and video analytics. NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs. Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features. SME Consulting & Mentorship … with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. 3. Leadership & Soft Skills Technical Leadership: Proven track record of leading complex data science projects from research ...

Developing and optimizing models for image recognition, object detection, and video analytics. NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs. Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features. SME Consulting & Mentorship … with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. 3. Leadership & Soft Skills Technical Leadership: Proven track record of leading complex data science projects from research ...

Developing and optimizing models for image recognition, object detection, and video analytics. NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs. Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features. SME Consulting & Mentorship … with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. 3. Leadership & Soft Skills Technical Leadership: Proven track record of leading complex data science projects from research ...

Security/Compliance (HIPAA, GDPR, NHS DTAC, SOC2) What You'll Do Build highly scalable backend services and APIs Work on LLM-powered features (RAG pipelines, embedding workflows) Develop agentic document extraction systems for clinical PDFs Own backend reliability, performance, and security Work cross-functionally with product, frontend, and leadership ...

NoSQL databases to build scalable, event-driven systems. Design and optimise APIs that serve our mobile and web products, including partner integrations. Implement efficient RAG AI backend systems for introducing advanced LLM based features Collaborate with product managers, data engineers, and frontend developers to deliver new features end to end. ...

identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI models tailored to use cases (e.g., NLP, CV, RAG, forecasting, etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while … Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures, RAG, prompt engineering, chatbots, classification, summarization, speech-to-text, image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development ...

environments. Deep understanding of AI governance, ethics, guardrails, compliance, and data privacy. Experience building or deploying LLM-powered systems, agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication and stakeholder … engagement abilities—comfortable presenting to leadership. Ability to manage multiple initiatives with attention to detail and strategic alignment. Nice-to-Have Skills Exposure to RAG frameworks, vector databases, embeddings, and graph/temporal data systems. Familiarity with cloud-based deployment (AWS/Azure), containerization, and observability tooling. Experience with prompt ...

agent systems (ReAct, CoT loops, LangGraph, MCP) from scratch Productionise agentic systems with evaluation, observability, and rigorous testing Scale deployments across SQL workflows, pandas, RAG pipelines, and distributed compute Define modern evaluation standards (Pass@N, multi-run testing, tool reliability gates) Lead client technical sessions and shape solution design … with agentic frameworks (ReAct, LangGraph, tool orchestration) Strong communication skills for technical workshops and solution shaping Preferred Experience with PyTorch/TensorFlow, vector DBs, RAG, distributed inference Background in start-ups, high-performance engineering groups, or technical consulting Experience navigating complex industries or regulated environments Bias toward action, experimentation ...

deployment. Deep knowledge of RAG Experience processing high volumens of documentation/text Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding ...

deployment. Deep knowledge of RAG Experience processing high volumens of documentation/text Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding ...

deployment. Deep knowledge of RAG Experience processing high volumens of documentation/text Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding ...

deployment. Deep knowledge of RAG Experience processing high volumens of documentation/text Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding ...

deployment. Deep knowledge of RAG Experience processing high volumens of documentation/text Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding ...

from concept through to secure, scalable production deployment. You'll work across engineering, commercial, and operational teams to develop GenAI tools including retrieval-augmented systems, intelligent assistants, and workflow automation. Your work will be central to embedding GenAI into enterprise platforms, unlocking measurable business outcomes while … ensuring maintainability, security, and compliance. Key Responsibilities Lead the design and delivery of production-grade GenAI solutions using LLMs, RAG, and vector search, optimising prompts, context, and retrieval for accuracy and performance. Architect and implement GenAI services integrated with enterprise systems and cloud platforms, ensuring scalability, security ...

OpenAI environment Build Prof. T v0.1 — our AI tutor trained on curriculum, assessments, and teaching materials Create retrieval and vector-based pipelines (RAG) for structured learning content Build internal tools for academics to upload, review, and refine materials Work with leadership to define our long-term AI roadmap … entire institution. What we're looking for Essential Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks Strong Python engineering skills Practical experience building RAG systems, embeddings, vector stores Comfort with cloud architecture (Azure preferred) Ability to move fast, prototype, and ship Experience building MVPs, internal tools, or early-stage ...

NetMind.ai, we're building the next-generation AI/ML platform powered by a global decentralized GPU infrastructure. Our mission is to deliver the simplest and most accessible generative AI solutions on the market and democratize access to AI technology globally. Our AI services range from inference model … within days (or hours) to support client pitches. AI Stack Integration: Utilize Claude Code Agent, Google Gemini, and OpenAI APIs to implement features like RAG, document analysis, and automated workflows. Full-Stack Lite: Use Python and Streamlit to create clean, interactive, and client-ready user interfaces. Prompt Engineering: Design ...

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 … Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering ...

model: London | Office-based (Mon–Fri) You'll join an established financial services group at a pivotal moment as they build a next-generation trading and investment platform from scratch. This is a hands-on engineering role suited to someone who enjoys scaling Python services, shaping AI-native … incident response You Will Need – Strong Python engineering background with experience building scalable back-end services – Solid ML foundations with exposure to LLM integration, RAG, or prompt orchestration – Understanding of model context patterns and AI/ML tool interfaces – Experience with cloud-native delivery (AWS) and containerised systems – Ability ...

that can collect price data, assess supplier choices and initiate or complete ordering actions through APIs or connected systems Build retrieval augmented generation pipelines and vector search capabilities to support accurate and grounded decision making Integrate AI functionality with an existing platform built … Essential Experience: Strong Python engineering skills Experience with agent and workflow frameworks such as LangChain or LangGraph Proven experience building retrieval augmented generation systems and vector search architectures Ability to build autonomous agents that interact with APIs, fetch public data and trigger external actions ...

microservices Docker, CI/CD pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines LLM-powered features RAG pipelines (embedding models, chunking strategies, semantic search) Document extraction/processing (PDF parsing, OCR, agentic pipelines) Clinical content … code and deploy serverless services. Help architect systems that scale to hundreds of thousands of clinicians. AI & Clinical Knowledge Retrieval Build RAG workflows that safely surface medical knowledge. Develop clinical document ingestion pipelines that process PDFs, protocols, and policies. Validate AI-generated outputs with clinical context and domain ...

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate The Company We're supporting a well-funded Seed-stage B2B SaaS startup backed by top-tier European investors. They are automating a traditionally manual … expansion, deeper automation, and building intelligent systems that turn unstructured data into actionable insights at scale. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate As the Founding AI Engineer, you will ...

systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time processing. Manage infrastructure: relational … track record of building and shipping production-ready systems. Hands-on experience with distributed systems, APIs, databases, and cloud infrastructure. Familiarity with LLMs, LangChain, RAG, or fine-tuning techniques (SFT/RL). Strong problem-solving and debugging abilities with a proactive, builder's mindset. Comfortable in a fast-paced ...

maturity, you must possess the technical depth to design specific implementation patterns and provide granular guidance to engineering teams. You will not just \"recommend\" RAG; you will define the orchestration logic, the embedding strategies, and the technical guardrails required to make it production-ready. Critical Requirement: You must be able … granular level. Key Responsibilities 1. Technical Solution Design & Deep-Dive Architectural Blueprints: Move beyond high-level boxes and arrows to create detailed designs for RAG patterns, Agentic workflows, and Graph-based retrieval systems. Orchestration & Pipelines: Define the execution logic for AI pipelines, including prompt chaining, state management ...

Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills ...

hiring our first dedicated Head of Product to take the product reins from our founder and help us build the next generation of AI powered clinical knowledge tools. If you are an experienced product leader who still loves getting close to the work and the users, this … impact, not just optimise another ad funnel Nice to have These are bonuses, not requirements Experience with AI products, especially retrieval augmented generation, search or recommendation systems Experience in tools for knowledge management, collaboration or workflow automation Exposure to healthcare or regulated environments ...