126 to 146 of 146 Retrieval-Augmented Generation Jobs in the South East

Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools … containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal ...

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. ...

growing AI team , contribute to cutting-edge projects, and develop your skills with mentorship from senior engineers. You'll work on AI-powered applications, RAG pipelines, and model fine-tuning , solving real business problems. About the Role Design, implement, and fine-tune 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 platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver ...

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 ...

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 ...

LangGraph, and MCP. Build and productionise agentic AI solutions with strong evaluation, observability, and orchestration. Scale deployments across diverse environments (SQL-based workflows, pandas, RAG pipelines, distributed compute). Define evaluation standards: Pass@N, multi-run testing, retriever benchmarking, component diagnostics, and quality gates. Lead client-facing engagements, delivering workshops … LangGraph, tool orchestration). Excellent communication skills with the ability to run workshops and shape technical direction. Preferred Experience with PyTorch, TensorFlow, vector DBs, RAG, and distributed inference. Background in dynamic, high-performance environments (start-ups or technical consultancies). Exposure to regulated industries or complex stakeholder landscapes. Proactive mindset ...

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 ...

integrated with Microsoft 365, Teams, SharePoint, Power Platform and Dynamics (or relevant practice management systems) Create custom Copilot plugins, AI prompts, knowledge connectors and RAG-driven intelligence Data & Fabric Integration Partner with data engineering teams to leverage Microsoft Fabric and OneLake for high-quality, governed data sources Ensure Copilot solutions …/Autonomous workflows Microsoft 365 and Teams integrations Power Platform (Power Automate, Power Apps, Dataverse) Azure AI Services and Azure OpenAI Strong understanding of RAG architectures, knowledge search, document intelligence and enterprise data patterns Experience integrating AI solutions with CRM/ERP or case/practice management systems Soft Skills ...

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 ...

recommendations and assistants Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into production Design and optimise RAG pipelines using embeddings, vector databases (Pinecone, Weaviate, FAISS) and other retrieval systems Work with knowledge graphs and structured data to add richer context … real user journeys What we're looking for Backend engineer with a strong interest in practical, product-focused AI integration Experience building semantic search, RAG pipelines or similar retrieval-heavy AI systems Hands-on with vector databases (Pinecone, Weaviate, FAISS or similar) and large, complex datasets Familiarity with ...

Greetings!AdroitPeopleiscurrentlyhiring Title: Data Engineer Location:Bournemouth, UK WorkMode:Onsite-5 days/week Duration: FTE/FTC Keywords:AI/ML, GEN AI, DATA Engineer, Python Job Spec: AIML, Machine Learning & Data Science. Large ...

Location Bournemouth 5 Days ONSITE FTE/FTC - £80k Start Date ASAP Data Engineer with AIML(LLM, Agentic AI) & Python experience AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval ...

extremely experienced Head of Backend and VP of engineering as well as closing working with a team of doctors helping build the next generation of AI powered clinical knowledge tools. If you are an experienced senior backend engineer this is one of those rare roles where your decisions … build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. Collaborate closely with ...

business. What You'll Do Design and implement a comprehensive AI testing and evaluation framework for all AI solutions, including LLM-based tools, RAG systems, and third-party platforms. Define and document quality standards for semantic accuracy, factual consistency, bias, tone, and relevance. Develop reusable testing templates, data sets … tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast-evolving contexts. Excellent communication ...