Engineering Manager - MLOps Analytics
CanonicalRemote
Full Time
Posted December 1, 2025
Not Specified
Remote
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Job Description
An Engineering Manager at Canonical leads and develops a remote engineering team focused on MLOps and open-source machine learning tools, ensuring effective collaboration, technical excellence, and strategic delivery of AI and cloud solutions.
Key Responsibilities
- Manage a distributed team of engineers and oversee the MLOps Analytics portfolio
- Organize and lead team processes to achieve objectives
- Conduct one-on-one meetings and measure team health indicators
- Review code and provide architectural leadership
- Mentor and develop team members to achieve professional growth
- Collaborate with other managers, product managers, and architects to produce an engineering roadmap
- Ensure high-quality engineering practices, documentation, and performance optimization
- Represent Canonical and its solutions at conferences
- Participate in community engagement and open source contributions
Requirements
- Proven track record of professional experience of software delivery
- Professional Python development experience, preferably with a track record in open source
- 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
- Experience with container technologies such as Docker, LXD, Kubernetes, etc.
- Experience with public clouds including AWS, Azure, and Google Cloud
- Experience working on Linux and open-source software
- Working knowledge of cloud computing
- Passionate about software quality and testing
- Experience working on a distributed team on an open source project, including community open source contributions
Benefits & Perks
Compensation is based on geographical location, experience, and performance, with annual reviews and performance-driven bonuses
Work schedule is remote with the possibility of global travel for 2 to 4 weeks per year
Distributed work environment with twice-yearly in-person team sprints
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Personal learning and development budget of USD 2,000 per year
Recognition rewards
Opportunity to travel to new locations to meet colleagues
Travel upgrades for long-haul company events
Ready to Apply?
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