AI and Machine Learning Interview Experience - London, England
October 1, 2020
Neutral ExperienceNo Offer
Process
It was over Zoom. The interviewer told me that at some moment he did not hear me, but I suspect it was some embedded stress-testing or to see if I would start Googling stuff right away and take advantage of the situation. Strange, but in general OK.
Questions
How would you build a model? You can decide on the data: if many additional data or only historical time series.
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Interview Statistics
The following metrics were computed from 1 interview experience for the JPMorgan Chase AI and Machine Learning role in London, England.
Success Rate
0%
Pass Rate
JPMorgan Chase's interview process for their AI and Machine Learning roles in London, England is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for JPMorgan Chase's AI and Machine Learning interview process in London, England.
JPMorgan Chase Work Experiences
4.0
Great People, Hated Return
Software Engineer • Current Employee
London, England, United Kingdom
December 1, 2025
Pros: Great benefits, lots of interesting people to work with.
Cons: Returning to the office five days a week has been a pain.
4.0
Supportive Middle, Bad Upper
Software Engineer • Former Employee
London, England, United Kingdom
November 30, 2025
Pros: Good middle management, very supportive.
Cons: Bad upper management, like watching my parents get divorced.
4.0
Strong Engineering Culture with Big-Bank Stability
Lead Software Engineer • Current Employee
London, England, United Kingdom
November 24, 2025
Pros: Solid engineering practices and an increasing focus on modern tech stacks (cloud, microservices, automation).
Excellent compensation and benefits compared to most financial institutions.
Smart, collaborative colleagues — lots of domain experts to learn from.
Clear structure and predictable career progression for those who like well-defined paths.
Good work-life balance in most teams, with flexibility depending on the group.
Cons: Large enterprise bureaucracy can slow down decisions and innovation.
Tech adoption varies heavily by team—some are cutting-edge, others still rely on legacy systems.
Cross-team coordination can be challenging due to the company’s scale and global footprint.
Promotions and changes can take time due to formal processes.
- 4.0Great People, Hated ReturnSoftware Engineer • Current EmployeeLondon, England, United KingdomDecember 1, 2025Pros: Great benefits, lots of interesting people to work with.Cons: Returning to the office five days a week has been a pain.
- 4.0Supportive Middle, Bad UpperSoftware Engineer • Former EmployeeLondon, England, United KingdomNovember 30, 2025Pros: Good middle management, very supportive.Cons: Bad upper management, like watching my parents get divorced.
- 4.0Strong Engineering Culture with Big-Bank StabilityLead Software Engineer • Current EmployeeLondon, England, United KingdomNovember 24, 2025Pros: Solid engineering practices and an increasing focus on modern tech stacks (cloud, microservices, automation). Excellent compensation and benefits compared to most financial institutions. Smart, collaborative colleagues — lots of domain experts to learn from. Clear structure and predictable career progression for those who like well-defined paths. Good work-life balance in most teams, with flexibility depending on the group.Cons: Large enterprise bureaucracy can slow down decisions and innovation. Tech adoption varies heavily by team—some are cutting-edge, others still rely on legacy systems. Cross-team coordination can be challenging due to the company’s scale and global footprint. Promotions and changes can take time due to formal processes.
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