Engineering Manager - MLOps & Analytics at Canonical

This role is designed for a senior technical leader who blends deep Python/MLOps expertise with a passion for people management. You should have a strong track record in software delivery and a high level of comfort within the open-source ecosystem. This isn't just a "hands-off" management role; you will be expected to remain technically fluent in tools like Kubeflow and MLFlow while mentoring a distributed team of engineers. As a remote-first organization, this position offers significant geographical flexibility. Standout perks include a $2,000 annual learning budget, a performance-driven bonus, and unique "Priority Pass" travel upgrades for company events. You will also participate in global team sprints twice a year, providing an opportunity for international travel and in-person collaboration. **You might be a good fit if you...** * Have professional Python experience and a background in open-source contributions. * Expertly understand the machine learning lifecycle and tools like Kubeflow, MLFlow, or Feast. * Value "leading by example" through code reviews and architectural guidance. * Possess an exceptional academic record and thrive in a high-standard, remote environment.