11 of 11 Retrieval-Augmented Generation Jobs in Scotland

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 ❯

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 ❯

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 ❯

to take the lead in building secure, compliant, and high-performing AI solutions-particularly around Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and responsible AI deployment. This is an excellent opportunity to work in a modern, Microsoft-based tech stack, tackling greenfield projects … Role Design and deploy AI solutions that adhere to strict compliance and governance frameworks. * Develop Retrieval-Augmented Generation (RAG) architectures for enterprise-scale use. * Integrate and fine-tune Large Language Models (LLMs) into Microsoft-based systems. * Implement LLM security measures (e.g. prompt injection prevention … compliance trends. About You You're a great fit if you have: * Proven experience developing and deploying AI/ML solutions. * Strong knowledge of RAG frameworks and vector databases (Pinecone, FAISS, Weaviate, etc.). * Hands-on experience with LLMs (OpenAI, Hugging Face, Anthropic, etc.) including model tuning and security. * A More ❯

to take the lead in building secure, compliant, and high-performing AI solutions-particularly around Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and responsible AI deployment. This is an excellent opportunity to work in a modern, Microsoft-based tech stack, tackling greenfield projects … Role Design and deploy AI solutions that adhere to strict compliance and governance frameworks. * Develop Retrieval-Augmented Generation (RAG) architectures for enterprise-scale use. * Integrate and fine-tune Large Language Models (LLMs) into Microsoft-based systems. * Implement LLM security measures (e.g. prompt injection prevention … compliance trends. About You You're a great fit if you have: * Proven experience developing and deploying AI/ML solutions. * Strong knowledge of RAG frameworks and vector databases (Pinecone, FAISS, Weaviate, etc.). * Hands-on experience with LLMs (OpenAI, Hugging Face, Anthropic, etc.) including model tuning and security. * A More ❯

to take the lead in building secure, compliant, and high-performing AI solutions-particularly around Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and responsible AI deployment. This is an excellent opportunity to work in a modern, Microsoft-based tech stack, tackling greenfield projects … Role Design and deploy AI solutions that adhere to strict compliance and governance frameworks. * Develop Retrieval-Augmented Generation (RAG) architectures for enterprise-scale use. * Integrate and fine-tune Large Language Models (LLMs) into Microsoft-based systems. * Implement LLM security measures (e.g. prompt injection prevention … compliance trends. About You You're a great fit if you have: * Proven experience developing and deploying AI/ML solutions. * Strong knowledge of RAG frameworks and vector databases (Pinecone, FAISS, Weaviate, etc.). * Hands-on experience with LLMs (OpenAI, Hugging Face, Anthropic, etc.) including model tuning and security. * A More ❯

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 ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track 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 ❯