Machine Learning Engineer
Clearance: BPSS Eligible
Start: ASAP
Work pattern: Hybrid
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.