5 of 5 Retrieval-Augmented Generation Jobs in Central London

interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join … relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models … skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search More ❯

interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join … this dynamic role varied duties will include: Search relevancy engineering.Conversational AI Development: Design, train, fine-tune, and deploy LLMs with reasoning capabilities.Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.Model Fine-Tuning & Training: Train … or OpenSearch.Required skills & experience: 3-5+ years in machine learning and software developmentProficient in Python, PyTorch or TensorFlow or Hugging Face TransformersExperience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.Full-stack experience (React, TypeScript, Node.js) and API development.Familiarity with vector search and multi 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 ❯

Previous experience in AI powered enterprise/B2C SaaS environment and product. Familiarity with low-code/no-code AI tools, vector databases, or RAG workflows. Experience launching AI-powered features or agent-led automation tools. Background as a software engineer or technical role Please reach out for more information More ❯

oversight on complex projects without being the day‑to‑day project lead, ensuring quality and de‑risking delivery Product & IP - Turn repeatable solutions (e.g. RAG accelerators, model‑monitoring blueprints) into packaged offerings that shorten sales cycles and improve customer outcomes Commercial & Pre‑Sales - Partner with sales to scope opportunities, run … range to assess the best fit: AI Stack: Python, SQL, mathematics and statistics essential Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature stores, experiment tracking (MLflow, SageMaker, Azure ML, Vertex, etc.) Cloud‑Native Delivery More ❯