Machine Learning Engineer

This Machine Learning Engineer opportunity is built around think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. It would suit someone who can bring handling site-by-site responsibilities with consistency and care to the role.

Where the work sits

The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. Working with Data Scientists to deploy trained machine learning models into production environments.

How the role works day to day

The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present. Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

What helps in this setting

Handling site-by-site responsibilities with consistency and care. Creating reusable, scalable tools to enable better delivery of ML systems. Working with senior engineers to scope projects and design systems.

Practical details

• Work model: On-site.

What needs to be in place

• Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure).
• With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.
• Understanding of, and experience with the full machine learning lifecycle.