Engineering Manager - MLOps & Analytics

About This Role

Canonical is seeking an Engineering Manager for their MLOps & Analytics team to lead a distributed group of engineers, focusing on professional development, effective team processes, and technical delivery within the open-source machine learning space. This role involves active participation in code reviews and architectural leadership while influencing team culture and strategy.

Responsibilities

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead team processes to achieve 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 direct reports to achieve professional goals

Requirements

• Professional experience of software delivery
• Professional Python development experience, preferably with open source track record
• Understanding of the machine learning space, its challenges and opportunities
• Experience designing and implementing MLOps solutions
• Exceptional academic track record from high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Qualifications

• Exceptional academic track record from both high school and preferably university
• A proven track record of professional experience of software delivery, professional Python development experience, and proven understanding of the machine learning space. Experience designing and implementing MLOps solutions.

Nice to Have

• 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
• Demonstrated track record of Open Source contributions

Skills

* Required skills

Benefits