Engineering Manager, MLOps & Analytics at Canonical | Remote
Company/Recruiter: Canonical
Opportunity snapshot
A practical decision guide for this role: compare the facts below with your experience before applying.
Opportunity type
Job
Location
Remote
Work arrangement
Remote
Compensation
Not disclosed
Closing date
Feb 28, 2027
Employer
Canonical
Prepare your application
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Proven experience in leading and managing engineering teams.; Strong technical understanding of MLOps principles and practices.. Use one concrete example that shows you can Lead, mentor, and develop a team of MLOps and Analytics engineers..
Check before applying: Confirm that Remote and the stated work arrangement suit you, check the closing date of Feb 28, 2027.
- Apply before Feb 28, 2027.
- The application route is available to verified Talent accounts.
- Compensation is not disclosed in the listing; confirm it during the employer's process.
Job Overview
This position requires an individual who can effectively manage and mentor a team of engineers, fostering a collaborative and high-performance environment. The Engineering Manager will play a crucial role in shaping the technical direction of MLOps and analytics initiatives while upholding Canonical's commitment to quality and innovation.Key Responsibilities
- Lead, mentor, and develop a team of MLOps and Analytics engineers.
- Oversee the design, development, and deployment of machine learning operations and analytics solutions.
- Ensure the reliability, scalability, and efficiency of our MLOps and analytics infrastructure.
- Collaborate with cross-functional teams to define project requirements and roadmaps.
- Contribute to code reviews and technical strategy discussions.
Requirements
- Proven experience in leading and managing engineering teams.
- Strong technical understanding of MLOps principles and practices.
- Experience with data analytics platforms and tools.
- Excellent communication, interpersonal, and problem-solving skills.
- Ability to balance technical contributions with team management responsibilities.
What We Offer
- Opportunity to work on cutting-edge MLOps and analytics technologies.
- A dynamic and supportive remote work environment.
- Professional development and growth opportunities.
- Contribution to impactful projects within a leading open-source company.
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