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Engineering Manager - MLOps & Analytics

Canonical via Canonical
Salary
Not Disclosed
Location
Remote (Worldwide)
Type
Full Time
Deadline
30 Oct 2026
6 days left
Job Description
  • Globally remote Engineering Manager who must be technically strong but whose main job is running an effective team and developing its engineers, reviewing code, keeping the team focused and unblocked, and building an engineering roadmap with other managers, product managers and architects; the team's stack includes Kubeflow, MLflow and Feast.
  • Manage a distributed team of engineers and its MLOps/Analytics portfolio
  • Organize and lead the team's processes in order to help it achieve its objectives
  • Conduct one-on-one meetings with team members
  • Identify and measure team health indicators
  • Interact with a vibrant community
  • Review code produced by other engineers
  • Attend conferences to represent Canonical and its MLOps solutions
  • Mentor and grow your direct reports, helping them achieve their professional goals
  • Work from home with global travel for 2 to 4 weeks per year for internal and external events
Requirements
  • A proven track record of professional experience of software delivery
  • Professional python development experience, preferably with a track record in open source
  • A proven understanding of the machine learning space, its challenges and opportunities to improve
  • Experience designing and implementing MLOps solutions
  • An exceptional academic track record from both high school and preferably university
  • Willingness to travel up to 4 times a year for internal events
  • Nice to have: Hands-on experience with machine learning libraries, or tools
  • Nice to have: Proven track record of building highly automated machine learning solutions for the cloud
  • Nice to have: Experience with building machine learning models
  • Nice to have: Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Nice to have: Experience with public clouds (AWS, Azure, Google Cloud)
  • Nice to have: Experience in the Linux and open-source software world
  • Nice to have: Working knowledge of cloud computing
  • Nice to have: Passionate about software quality and testing
  • Nice to have: Experience working on a distributed team on an open source project - even if that is community open source contributions
  • Nice to have: Demonstrated track record of Open Source contributions
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Posted10 Oct 2026
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