Engineering Manager - MLOps & Analytics

Responsibilities

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team’s processes to achieve objectives
• Conduct one-on-one meetings and identify team health indicators
• Review code and provide architectural leadership
• Mentor and grow direct reports to help them achieve professional goals
• Collaborate with product managers and architects on engineering roadmaps
• Represent Canonical at conferences and interact with the community

Requirements

• Proven track record of professional software delivery
• Professional Python development experience, preferably in open source
• Deep understanding of the machine learning space and its challenges
• Experience designing and implementing MLOps solutions
• Exceptional academic track record
• Willingness to travel up to 4 times a year for internal events

Preferred Qualifications

• Hands-on experience with machine learning libraries and tools
• Experience building automated machine learning solutions for the cloud
• Experience with container technologies like Docker, LXD, or Kubernetes
• Experience with public clouds such as AWS, Azure, or Google Cloud
• Experience in the Linux and open-source software ecosystem
• Demonstrated track record of Open Source contributions

Benefits

• Distributed work environment with twice-yearly in-person team sprints
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review and performance-driven annual bonus
• Annual holiday leave and maternity/paternity leave
• Employee Assistance Programme
• Priority Pass and travel upgrades for long-haul company events

About the Company

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, we provide the platform for AI, IoT, and the cloud.