5 of 5 Permanent Retrieval-Augmented Generation Jobs in Bristol

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 … following skills: Robust programming skills (Python is essential) An understanding of one or more of the following: Agentic AI systems and Architecture Graph RAG Traditional RAG Vision Language Models/Computer Vision Audio Processing Experience with Docker, Linux/Unix CLI, Git, and testing. Experience with one of a major ...

models. Strong experience with transformer models, embeddings, vector search, and Generative AI architectures. Practical experience using Hugging Face, OpenAI, LangChain, Retrieval Augmented Generation, and diffusion models. Strong MLOps experience including MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI and CD tooling. Strong programming skills … teams and enterprise environments. Desirable Skills Experience with vector databases such as FAISS, Pinecone, or Weaviate. Knowledge of enterprise scale Retrieval Augmented Generation systems. Experience within global manufacturing, engineering, or industrial environments. Understanding of data governance, security, and responsible AI principles. What This Role ...

Engineer - LLM RAG AWS MLOps – Bristol (Hybrid) I'm working with a fast-growing tech company in Bristol that needs an AI/ML Engineer to build and deploy machine learning and LLM solutions. You'll be working across the full ML lifecycle—from design through to production … doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots, automation, content generation Implementing MLOps practices: versioning, experiment ...

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 ...

work on cutting-edge Generative AI projects that are currently in the research phase and have the potential to shape the next generation of healthcare technology. Due to NDAs, full project details will be shared during an initial conversation — but expect complex, meaningful, and highly innovative AI challenges. … they’re looking for: > 7–8 years’ commercial experience in AI/Machine Learning > Strong hands-on expertise in Generative AI (LLMs, multimodal models, RAG, diffusion models, or similar) > Solid background in healthcare – NHS, medtech, clinical data, medical devices, or regulated environments > Ability to demonstrate the evolution of AI technologies ...