What if your next ML role started with messy data, cloud constraints, and a system that has to work in production (not just in a notebook)?

At Brillian, that’s often where our work begins. We help companies figure out what’s actually worth building with machine learning, why it matters, and how to make it real in practice.

We’re continuously looking to meet Machine Learning Engineers who enjoy building end-to-end solutions: data → features → models → deployment → monitoring. We don’t always have a matching project starting immediately, but when the fit is right, we’ll stay in close contact and move quickly when something clicks!

What our projects typically look like

You’ll work on greenfield and scaling‑phase ML projects that create real business impact. Often, the biggest wins come from getting the data and cloud foundations right, so you’ll be close to those parts too.

Depending on the client and project stage, you might be: