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Machine Learning Engineer (Conversational AI)

Amber labs
London
2 days ago
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Machine Learning Engineer (Conversational AI)


Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.

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.

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