Machine Learning Engineer Interview Experience - United Kingdom
December 20, 2019
Positive ExperienceGot Offer
Process
The interview process was quick and well thought out, however it was a bit vague and would be better if I had been given more information about the process (ie what to prepare for the phone/in person interview)
Questions
I need to justify my previous experience.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Arm Machine Learning Engineer role in United Kingdom.
Success Rate
0%
Pass Rate
Arm's interview process for their Machine Learning Engineer roles in the United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Arm's Machine Learning Engineer interview process in United Kingdom.
Arm Work Experiences
4.0
Cushy environment and working on important problems
Machine Learning Engineer • Current Employee
Cambridge, United Kingdom
July 7, 2021
Pros: - Excellent pay and benefits
- Friendly and intelligent colleagues
- Impactful problems to work on
Cons: - Some management layers seem somewhat redundant.
- Organisational structure can be complex to navigate.
- A lot of legacy tech means you will have to learn the ARM way of doing things rather than always being able to reach for the most modern tooling.
5.0
Machine Learning Engineer
Machine Learning Engineer • Current Employee
Austin, Texas
October 22, 2025
Pros: Good work culture in the company
Good with immigration
Cons: There are low travel opportunities outside the US.
5.0
Great leadership and technology make it a rewarding place
Machine Learning Engineer • Current Employee
Galway, Ireland
June 17, 2026
Pros: Great leadership
Great technology
Great reward
Cons: None, it is such a good place to work.
- 4.0Cushy environment and working on important problemsMachine Learning Engineer • Current EmployeeCambridge, United KingdomJuly 7, 2021Pros: - Excellent pay and benefits - Friendly and intelligent colleagues - Impactful problems to work onCons: - Some management layers seem somewhat redundant. - Organisational structure can be complex to navigate. - A lot of legacy tech means you will have to learn the ARM way of doing things rather than always being able to reach for the most modern tooling.
- 5.0Machine Learning EngineerMachine Learning Engineer • Current EmployeeAustin, TexasOctober 22, 2025Pros: Good work culture in the company Good with immigrationCons: There are low travel opportunities outside the US.
- 5.0Great leadership and technology make it a rewarding placeMachine Learning Engineer • Current EmployeeGalway, IrelandJune 17, 2026Pros: Great leadership Great technology Great rewardCons: None, it is such a good place to work.
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