Canonical · 4 months ago
Engineering Manager - MLOps & Analytics
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. The Engineering Manager will lead a distributed team focused on MLOps and Analytics, ensuring effective team management, code reviews, and technical delivery while fostering professional growth among team members.
Computer Software
Responsibilities
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
Qualification
Required
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
Preferred
Hands-on experience with machine learning libraries, or tools
Proven track record of building highly automated machine learning solutions for the cloud
Experience with building machine learning models
Experience with container technologies (Docker, LXD, Kubernetes, etc.)
Experience with public clouds (AWS, Azure, Google Cloud)
Experience in the Linux and open-source software world
Working knowledge of cloud computing
Passionate about software quality and testing
Experience working on a distributed team on an open source project -- even if that is community open source contributions
Demonstrated track record of Open Source contributions
Benefits
Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues from your team and others
Priority Pass for travel and travel upgrades for long haul company events
Company
Canonical
We deliver open source to the world faster, more securely and more cost effectively than any other company.
H1B Sponsorship
Canonical has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (1)
2023 (1)
2022 (3)
2021 (1)
2020 (1)
Funding
Current Stage
Late StageRecent News
2025-10-01
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2025-09-13
2025-09-12
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