4 of 4 Retrieval-Augmented Generation Jobs in Scotland

for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as … leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in More ❯

years+) Developed LLM architecture and deployed LLM applications Effective communication skills Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with requirements to be on client premises' in either Glasgow or Edinburgh between 1-4 days More ❯

standup, aligning on current projects. You could spend the morning preparing for an upcoming workshop on how to use Amazon Q for code generation, refactoring and automated testing. In the afternoon, you might spend time answering questions on Stack Overflow about integrating AWS Generative AI services into everyday … Experience working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF). Excellent communication and public speaking skills, with experience delivering technical content to developers More ❯

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. As a team: We have exciting opportunities for a AI LLM Architecture Manager to join our Data & AI practice … ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA, ) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart More ❯