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Home / Jobs / Canonical
Posted today · be early

Engineering Manager - MLOps & Analytics

Canonical

WorldwideremotePosted today
Canonical logo

Skill Required

Engineering-ManagementMLOpsMachine-Learning-EngineeringSoftware-EngineerTechnology-LeadershipSenior-MLOps-Engineering-ManagerSenior-Analytics-Engineering-ManagerAI-ML-Engineering-ManagerML-Engineering-ManagerSenior-Machine-Learning-Engineering-ManagerData-Engineering-ManagerEngineering-ManagerAnalytics EngineerEngineering ManagerEngineeringanalyticsMachine LearningGCPR ProgrammingKubernetesdesigningbuildingMLflowetc.)TestNGPythonDockerLinuxAzureCloudAWSandAIFulltime

Key highlights

  • Globally remote role
  • Personal learning and development budget of USD 2,000 per year
  • Work from home with global travel for 2 to 4 weeks per year
  • Annual performance-driven bonus
  • Experience with MLOps tools like Kubeflow, MLFlow, and Feast
  • Twice-yearly team sprints in person

Role overview

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution. You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals. We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team. Location: This is a Globally remote role.

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
  • 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

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
  • Location: This is a Globally remote role.

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 -- 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
  • Performance-driven annual bonus
  • Work from home with global travel for 2 to 4 weeks per year for internal and external events

Additional details

  • What your day will look like
  • What we are looking for in you
  • Additional skills that you might also bring
  • What we offer you
  • About Canonical
  • Canonical has been a remote-first company since its inception in 2004.​
  • Canonical is an equal opportunity employer
  • We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
  • Originally posted on Himalayas
  • Compensation is shaped by geographical location, experience, and performance worldwide

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LocationWorldwide
TypeFulltime
Posted9/19/2026
Apply by11/18/2026

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