Monzo

Machine Learning Engineer Interview Experience - London, United Kingdom

September 23, 2026

Positive ExperienceNo Offer

Process

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 ML experience and projects worked on.
Take-home task.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Monzo Machine Learning Engineer role in London, England.

Success Rate

0%

Pass Rate

Monzo's interview process for their Machine Learning Engineer roles in London, England is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for Monzo's Machine Learning Engineer interview process in London, England.

Monzo Work Experiences

Autonomy and Brilliant Colleagues

Machine Learning Engineer • Current Employee

London, England

February 8, 2022

Pros: - 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

Cons: - Banking is regulated, so you do spend more time thinking about safety than other less regulated tech companies

Autonomy and Brilliant Colleagues

Machine Learning Engineer • Current Employee

London, England

February 8, 2022

Pros: - 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

Cons: - Banking is regulated, so you do spend more time thinking about safety than other less regulated tech companies

Interesting work which has a real impact on Monzo and our customers

Machine Learning Engineer • Current Employee

London, England

November 6, 2023

Pros: - Solving big problems that have a huge impact on our customers and the company's growth. - Real autonomy to set the direction of your own work. - Senior leadership provides strong support for incorporating Machine Learning solutions into systems where other organisations might shy away from the challenge. - Engineering tooling is fantastic! We are empowered to deploy our own changes into production environment which allows us to ship our own models into production which is very satisfying. - Get to work with and learn from really smart people in cross discipline squads which include Data/ML Scientists, Software Engineers, Product Managers and Business domain specialists. - One of Monzo's values that comes through the strongest is "be hard on problems, not people". Individuals never get singled out or blamed when something goes wrong - instead teams work collaboratively to understand the issue and how our systems / processes can be improved to prevent it from happening again.

Cons: - Monzo is a regulated bank, so sometimes you need to slow down to consider and mitigate the risk of your changes with more rigorous testing. - There hasn't been as much investment in Machine Learning tooling over the past ~2 years, but a team was recently spun up to start working on this. - It can sometimes be intense when working on high priority projects which have deadlines, but I never felt pressure to work overtime or work late hours / weekends.

Interesting work which has a real impact on Monzo and our customers

Machine Learning Engineer • Current Employee

London, England

November 6, 2023

Pros: - Solving big problems that have a huge impact on our customers and the company's growth. - Real autonomy to set the direction of your own work. - Senior leadership provides strong support for incorporating Machine Learning solutions into systems where other organisations might shy away from the challenge. - Engineering tooling is fantastic! We are empowered to deploy our own changes into production environment which allows us to ship our own models into production which is very satisfying. - Get to work with and learn from really smart people in cross discipline squads which include Data/ML Scientists, Software Engineers, Product Managers and Business domain specialists. - One of Monzo's values that comes through the strongest is "be hard on problems, not people". Individuals never get singled out or blamed when something goes wrong - instead teams work collaboratively to understand the issue and how our systems / processes can be improved to prevent it from happening again.

Cons: - Monzo is a regulated bank, so sometimes you need to slow down to consider and mitigate the risk of your changes with more rigorous testing. - There hasn't been as much investment in Machine Learning tooling over the past ~2 years, but a team was recently spun up to start working on this. - It can sometimes be intense when working on high priority projects which have deadlines, but I never felt pressure to work overtime or work late hours / weekends.

Great product and passionate team members. Important mission.

Engineering Manager • Current Employee

London, England

November 7, 2020

Pros: Monzo is the card that you seem to see people using everywhere, great brand, loyal customers, and the best user experience. The people in Product are smart and passionate about building something meaningful. Many of the original people who built and designed the systems are still at the company.

Cons: I had a difficult 2020 that caused a lot of churn and introspection, which probably made some bad decisions in hindsight. That haze has started to clear with the new leadership.

Great product and passionate team members. Important mission.

Engineering Manager • Current Employee

London, England

November 7, 2020

Pros: Monzo is the card that you seem to see people using everywhere, great brand, loyal customers, and the best user experience. The people in Product are smart and passionate about building something meaningful. Many of the original people who built and designed the systems are still at the company.

Cons: I had a difficult 2020 that caused a lot of churn and introspection, which probably made some bad decisions in hindsight. That haze has started to clear with the new leadership.

Autonomy and Brilliant Colleagues

Machine Learning Engineer • Current Employee

London, England

February 8, 2022

Pros: - 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

Cons: - Banking is regulated, so you do spend more time thinking about safety than other less regulated tech companies

5.0
Autonomy and Brilliant Colleagues
Machine Learning Engineer • Current Employee
London, England
February 8, 2022
Pros: - 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
Cons: - Banking is regulated, so you do spend more time thinking about safety than other less regulated tech companies

Interesting work which has a real impact on Monzo and our customers

Machine Learning Engineer • Current Employee

London, England

November 6, 2023

Pros: - Solving big problems that have a huge impact on our customers and the company's growth. - Real autonomy to set the direction of your own work. - Senior leadership provides strong support for incorporating Machine Learning solutions into systems where other organisations might shy away from the challenge. - Engineering tooling is fantastic! We are empowered to deploy our own changes into production environment which allows us to ship our own models into production which is very satisfying. - Get to work with and learn from really smart people in cross discipline squads which include Data/ML Scientists, Software Engineers, Product Managers and Business domain specialists. - One of Monzo's values that comes through the strongest is "be hard on problems, not people". Individuals never get singled out or blamed when something goes wrong - instead teams work collaboratively to understand the issue and how our systems / processes can be improved to prevent it from happening again.

Cons: - Monzo is a regulated bank, so sometimes you need to slow down to consider and mitigate the risk of your changes with more rigorous testing. - There hasn't been as much investment in Machine Learning tooling over the past ~2 years, but a team was recently spun up to start working on this. - It can sometimes be intense when working on high priority projects which have deadlines, but I never felt pressure to work overtime or work late hours / weekends.

5.0
Interesting work which has a real impact on Monzo and our customers
Machine Learning Engineer • Current Employee
London, England
November 6, 2023
Pros: - Solving big problems that have a huge impact on our customers and the company's growth. - Real autonomy to set the direction of your own work. - Senior leadership provides strong support for incorporating Machine Learning solutions into systems where other organisations might shy away from the challenge. - Engineering tooling is fantastic! We are empowered to deploy our own changes into production environment which allows us to ship our own models into production which is very satisfying. - Get to work with and learn from really smart people in cross discipline squads which include Data/ML Scientists, Software Engineers, Product Managers and Business domain specialists. - One of Monzo's values that comes through the strongest is "be hard on problems, not people". Individuals never get singled out or blamed when something goes wrong - instead teams work collaboratively to understand the issue and how our systems / processes can be improved to prevent it from happening again.
Cons: - Monzo is a regulated bank, so sometimes you need to slow down to consider and mitigate the risk of your changes with more rigorous testing. - There hasn't been as much investment in Machine Learning tooling over the past ~2 years, but a team was recently spun up to start working on this. - It can sometimes be intense when working on high priority projects which have deadlines, but I never felt pressure to work overtime or work late hours / weekends.

Great product and passionate team members. Important mission.

Engineering Manager • Current Employee

London, England

November 7, 2020

Pros: Monzo is the card that you seem to see people using everywhere, great brand, loyal customers, and the best user experience. The people in Product are smart and passionate about building something meaningful. Many of the original people who built and designed the systems are still at the company.

Cons: I had a difficult 2020 that caused a lot of churn and introspection, which probably made some bad decisions in hindsight. That haze has started to clear with the new leadership.

5.0
Great product and passionate team members. Important mission.
Engineering Manager • Current Employee
London, England
November 7, 2020
Pros: Monzo is the card that you seem to see people using everywhere, great brand, loyal customers, and the best user experience. The people in Product are smart and passionate about building something meaningful. Many of the original people who built and designed the systems are still at the company.
Cons: I had a difficult 2020 that caused a lot of churn and introspection, which probably made some bad decisions in hindsight. That haze has started to clear with the new leadership.

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