Machine Learning Engineer

Clearance: BPSS Eligible

Start: ASAP

Work pattern: Hybrid

Work type: 12 month FTC (Competitive Salary)

We’re looking for a Machine Learning Engineer to join a team delivering AI systems for a government client. You’ll turn prototypes and ideas into scalable, production-ready models, APIs, and agentic workflows. Previous experience on government or public sector projects is essential.

What you’ll do

• Develop and deploy machine learning models and AI-driven services.
• Build APIs and workflows to integrate ML into production systems.
• Scale prototypes into robust, reliable services.
• Collaborate with data scientists, engineers, and product teams to deliver solutions that meet user needs.

What we’re looking for

• Proven experience in applied machine learning, model deployment, and AI systems.
• Familiarity with building APIs and integrating ML into production services.
• Strong coding skills, particularly in Python.
• Experience with frameworks such as TensorFlow, PyTorch, or JAX.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes).
• Understanding of best practices for testing, monitoring, and maintaining ML models in production.

Nice to have

• Experience with data pipelines and orchestration tools (e.g. Airflow, Prefect).
• Familiarity with government or public sector technology environments.
• Interest in agentic AI workflows and responsible AI practices.