Engineering Manager - MLOps & Analytics

Canonical
Anywhere
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Mentorship","Leadership","Collaboration","Communication","Strategic thinking"]

Lead and mentor a distributed engineering team responsible for an MLOps/Analytics portfolio, keeping the team focused, productive, and unblocked. Drive engineering processes, conduct 1:1s, assess team health, and provide code review and architectural leadership. Collaborate with other engineering managers, product managers, and architects to deliver an ambitious engineering roadmap for a world-class machine learning operations platform using open-source tools like Kubeflow, MLflow, and Feast.

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Canonical
Canonical
3 years ago

Engineering Manager - MLOps & Analytics

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Last checked: 9 hours agoStatus: Live

Job Summary

Lead and mentor a distributed engineering team responsible for an MLOps/Analytics portfolio, keeping the team focused, productive, and unblocked. Drive engineering processes, conduct 1:1s, assess team health, and provide code review and architectural leadership. Collaborate with other engineering managers, product managers, and architects to deliver an ambitious engineering roadmap for a world-class machine learning operations platform using open-source tools like Kubeflow, MLflow, and Feast.
Location: Anywhere
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Manage and mentor a distributed engineering team in the MLOps/Analytics portfolio.
  • •Organize and lead team processes to achieve objectives and keep engineers unblocked.
  • •Conduct 1:1s, identify and measure team health indicators, and facilitate professional growth.
  • •Provide code review and architectural leadership, ensuring engineering practices, documentation, and performance optimization.
  • •Collaborate with other engineering managers, product managers, and architects to produce the engineering roadmap; represent Canonical at conferences.
Travel: Low travel

Pay and Benefits

Perks:Annual BonusLearning BudgetPaid LeaveParental LeaveEmployee Assistance

Key Requirements

  • •Proven track record delivering software professionally.
  • •Professional Python development experience, preferably with open source contributions.
  • •Understanding of the machine learning space, including challenges and opportunities for improvement.
  • •Experience designing and implementing MLOps solutions.
  • •Experience with MLOps tools and practices, including code reviews and architectural leadership.
Skills:MentorshipLeadershipCollaborationCommunicationStrategic thinking
Tech Stack:PythonKubeflowMLflowFeastDockerLXDKubernetesAWSAzureGoogle CloudLinux

Company Brief

Canonical
Develops and maintains Ubuntu, a leading open-source Linux distribution, and provides cloud, IoT, and enterprise support, tooling, and services to enable deployment, management, and security of infrastructure and applications.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: London, United Kingdom
Founded: 2004
WebsiteLinkedIn