Machine Learning Scientist Interview Experience - United Kingdom
Process
The overall interview process was quite lengthy and somewhat disorganized. After completing an initial coding assessment arranged by a recruiter, I progressed to four virtual onsite interviews. These included:
- A technical discussion with the team leader
- A behavioural interview
- A data manipulation task
- A review of the earlier coding assessment
Each session lasted between 45 minutes to an hour, and fortunately, they could be scheduled across different days.
One major drawback was the timeline. It took six weeks after submitting the coding assessment to hear back and arrange the virtual onsites. Several interviews had to be rescheduled, partly due to interviewers leaving the company.
Additionally, the preparation email lacked clarity, particularly regarding interview timings—some ran shorter than expected, which created confusion.
I received the final decision three weeks after completing the onsite interviews. From initial screening to final outcome, the process spanned roughly ten weeks.
Questions
How would you implement multi-arm bandits in the context of hotel recommendations?
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Expedia Group Machine Learning Scientist role in United Kingdom.
Success Rate
Expedia Group's interview process for their Machine Learning Scientist roles in the United Kingdom is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having mixed feelings for Expedia Group's Machine Learning Scientist interview process in United Kingdom.
Expedia Group Work Experiences
- 4.0Good Balance, Low PayMachine Learning Scientist • Current EmployeeSeattle, Washington, United StatesOctober 21, 2025Pros: Really good work-life balance.Cons: Pay is not the greatest.
- 5.0Good work-life balance, decent pay, poor job satisfactionMachine Learning Scientist • Current EmployeeSeattle, Washington, United StatesSeptember 7, 2025Pros: The WLB is good and pay is decent. Nothing to write home about. If in the right team or org, work can be fun and there are plenty of opportunities to learn.Cons: Career progression and job satisfaction are low. Churn is pretty high, especially with high-talent employees. Combined with frequent layoffs and reorgs, long-term vision is non-existent.
- 4.0Overall, a pretty good experienceMachine Learning Scientist • Former EmployeeJune 30, 2025Pros: - Good company culture, friendly coworkers. - Flexible hybrid requirements.Cons: - Slow engineering support. It felt hard to get anything but the most minor changes through. - Lower compensation than many tech companies, but not too bad.
Expedia Group Interview Questions
