76 to 78 of 78 Retrieval-Augmented Generation Jobs in the UK excluding London

Design, build and deliver AI-powered applications and automation solutions Integrate LLMs and AI services into real-world applications Work with AI agents, RAG architectures and orchestration Help define the technical direction of a new Digital & AI capability Build the controls, observability and governance needed to use AI safely … LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js, React, Next.js ...

world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating … strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...