Engineering Manager - MLOps & Analytics at Canonical · Remote (Anywhere)
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Machine Learning
A time you used Machine Learning: the problem, what you did yourself, and what happened.
From the ad's requirements
AWS
A time you used AWS: the problem, what you did yourself, and what happened.
From the ad's requirements
Azure
A time you used Azure: the problem, what you did yourself, and what happened.
From the ad's requirements
Docker
A time you used Docker: the problem, what you did yourself, and what happened.
From the ad's requirements
A proven track record of professional experience of software delivery
An example from your own work that shows this.
From the ad's requirements
Professional python development experience, preferably with a track record in open source
An example from your own work that shows this.
From the ad's requirements
Experience designing and implementing MLOps solutions
An example from your own work that shows this.
From the ad's requirements
An exceptional academic track record from both high school and preferably university
An example from your own work that shows this.
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Willingness to travel up to 4 times a year for internal events
An example from your own work that shows this.
From the ad's requirements
Additional skills that you might also bring
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From the ad's requirements
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for Canonical on JobRipe yet. Use the job ad and our guide below.
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Machine Learning is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: AWS is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
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Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Why they ask: Looks for red flags and motivation.
How to answer: Stay positive: what you want next, not what you dislike.
Why they ask: Fit and ambition check.
How to answer: Tie your growth to the problems this team is solving.
Questions to ask them