Machine Learning Engineer (Conversational AI)

Machine Learning Engineer (Conversational AI)

Clearance: BPSS Eligible

Start: ASAP

Work pattern: Hybrid

Work type: 12 month FTC (Competitive Salary)

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.

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.

Key Responsibilities:

• Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex .
• Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency.
• Build evaluation pipelines to ensure model reliability and stability.
• Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework).
• Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI .
• Work with vector databases and retrieval mechanisms to enhance accuracy and context.
• Collaborate with data, design, and engineering teams to improve model reasoning and user experience.

Skills & Experience:

• Strong hands-on experience deploying ML models in production environments.
• Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas).
• Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex).
• Experience working with LLM APIs (e.g. Hugging Face, OpenAI).
• Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.).
• Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments.
• Excellent communication skills and a strong interest in the application of AI in public services.

Desirable:

• Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI).
• Familiarity with AI observability tools (TruLens, Helicone).
• Awareness of AI safety and reliability frameworks (Guardrails AI).
• Experience working in government or public sector digital projects .