Machine Learning Engineer Interview Experience - United Kingdom
April 28, 2025
Neutral ExperienceGot Offer
Process
Short and sweet – a few questions about me and some about my projects. Not much else, really. I think it's one of those that you don't really need to prepare for, and you'll get in surely.
Questions
How to build a spaceship
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Apple Machine Learning Engineer role in United Kingdom.
Success Rate
33%
Pass Rate
Apple's interview process for their Machine Learning Engineer roles in the United Kingdom is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive33%
Neutral67%
Negative0%
Candidates reported having very good feelings for Apple's Machine Learning Engineer interview process in United Kingdom.
Apple Work Experiences
3.0
Good Pay, Stagnant Projects
Machine Learning Engineer • Former Employee
Montreal, Quebec, Canada
July 10, 2025
Pros: Good pay and work environment
Cons: Stagnant work, work-life balance
5.0
Talented Team, Inconvenient Location
Machine Learning Engineer • Current Employee
Cambridge, England, United Kingdom
May 8, 2024
Pros: Work with talented engineers who have a strong academic background.
Cons: The location is suboptimal compared to London.
4.0
Very product-driven and stimulating
Machine Learning Engineer • Current Employee
January 26, 2021
Pros: Nice and empathetic team and boss.
I feel I have room to explore data and innovate, but not too much.
My boss will pull me back down to earth and the product if I start getting too theoretical.
Cons: One of the teams I collaborated with was a little cut-throat. All the other teams were fine.
- 3.0Good Pay, Stagnant ProjectsMachine Learning Engineer • Former EmployeeMontreal, Quebec, CanadaJuly 10, 2025Pros: Good pay and work environmentCons: Stagnant work, work-life balance
- 5.0Talented Team, Inconvenient LocationMachine Learning Engineer • Current EmployeeCambridge, England, United KingdomMay 8, 2024Pros: Work with talented engineers who have a strong academic background.Cons: The location is suboptimal compared to London.
- 4.0Very product-driven and stimulatingMachine Learning Engineer • Current EmployeeJanuary 26, 2021Pros: Nice and empathetic team and boss. I feel I have room to explore data and innovate, but not too much. My boss will pull me back down to earth and the product if I start getting too theoretical.Cons: One of the teams I collaborated with was a little cut-throat. All the other teams were fine.
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