Autonomy and Brilliant Colleagues
Autonomy and Brilliant Colleagues
- Autonomy to work on problems which you think are important
- Lots of smart people to learn from
- Growth mindset is valued and encouraged
- Culture is one of kindness, you can be yourself here
- Very relevant tech company to have on CV for future career
- Banking is regulated, so you do spend more time thinking about safety than other less regulated tech companies
Additional Ratings
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Monzo Interview Experiences
Machine Learning Engineer
I applied online. There were interesting questions. The interviewers were friendly and accommodating, and they were happy to give details about the role and the company. - Take-home test to be completed over 48 hours - Multiple Zoom rounds
Machine Learning Engineer
The process was relatively straightforward. It started with a phone screen interview with a recruiter, followed by a technical interview with other ML engineers and a take-home task. The final interview was with the hiring managers. I did not get the
Machine Learning Engineer
I applied online. The process took 3 weeks. It was pretty good and straightforward. - Phone interview with a recruiter: just going over basics and understanding fit for the role. - Initial interview with ML engineers: much more of a deeper dive into
Machine Learning Engineer
London, United KingdomMarch 1, 2023I applied online. There were interesting questions. The interviewers were friendly and accommodating, and they were happy to give details about the role and the company. - Take-home test to be completed over 48 hours - Multiple Zoom rounds
Machine Learning Engineer
October 14, 2026The process was relatively straightforward. It started with a phone screen interview with a recruiter, followed by a technical interview with other ML engineers and a take-home task. The final interview was with the hiring managers. I did not get the
Machine Learning Engineer
London, England, United KingdomSeptember 23, 2026I applied online. The process took 3 weeks. It was pretty good and straightforward. - Phone interview with a recruiter: just going over basics and understanding fit for the role. - Initial interview with ML engineers: much more of a deeper dive into
