Job Description
Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible \n Start: ASAP \n Work pattern: Hybrid \n Work type: 12 month FTC (Competitive Salary)\n\n Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and user experience. \n\n We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions.
You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. \n\n Key Responsibilities: \n Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex. \n Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency.
\n Build evaluation pipelines to ensure model reliability and stability. \n Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). \n Integrate AI services and foundation models from providers such as Azure AI, Amazon Bedrock, and Google Vertex AI .
\n Work with vector databases and retrieval mechanisms to enhance accuracy and context. \n Collaborate with data, design, and engineering teams to i...