Engineering Manager - MLOps & Analytics

You will lead a distributed team of engineers owning the MLOps and analytics portfolio, balancing people management with code review and architectural leadership. The role requires strong professional Python delivery experience, a solid grasp of the machine learning space, and hands-on design of MLOps solutions, plus an exceptional academic track record. It is a fully remote, globally based position with occasional travel for internal events.

Location per source: Home based - Worldwide

Source: Canonical

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