Engineering Manager - MLOps & Analytics

Engineering Manager for Canonical's MLOps & Analytics team, the people behind the open-source ML stack that ships on Ubuntu and Kubernetes: Kubeflow, MLFlow, Feast, plus the surrounding data infra.

You lead a globally distributed team of Python engineers building MLOps primitives on Kubernetes, deploy across AWS/Azure/GCP, and represent Canonical at conferences. Strong open-source culture, fully remote since 2004, with two team sprints per year in person.

Rare MLOps leadership seat at a vendor whose product IS the platform, not a wrapper on it. Suited if you have shipped ML systems at scale and want to influence the open-source MLOps roadmap directly.