2 of 2 Retrieval-Augmented Generation Jobs in South London

understanding of AI regulations, compliance standards, and security best practices, with a strong focus on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and secure AI architectures. The ideal candidate will have hands-on experience with LLM security, AI governance frameworks, and regulatory compliance … in a regulated environment, ensuring adherence to AI governance and compliance frameworks. Design and implement Retrieval-Augmented Generation (RAG) architectures to optimize information retrieval for LLMs. Work with Large Language Models (LLMs), fine-tuning, deploying, and integrating them into enterprise systems. Ensure … policies. Essential Skills & Experience AI Development & Deployment: Strong hands-on experience developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic, Hugging Face More ❯

looking for a highly skilled Lead AI Solutions Engineer to design, build, and optimize a Retrieval-Augmented Generation (RAG) system that underpins our self-serve analytics data applications. In this pivotal position, you will develop a scalable RAG platform, integrate multiple data sources, and … create intuitive data interactions to empower teams across the organization. As part of our Group's RAG Initiative, you will collaborate with a cross-functional team to implement self-service AI-driven solutions - ranging from NLP Data Analysis and Data Discovery to other analytics assistants we will be deploying to … s about reshaping our operational DNA to drive innovation, efficiency, and exceptional customer experiences in the new era of analytics and automation. Key Responsibilities: RAG System Development Enhance, build new assistants and maintain existing scalable and modular RAG architectures for data retrieval and generation. Develop APIs and microservices More ❯