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Updated weekly · Last refresh Oct 17

Deliveroo Machine Learning Engineer Interview Questions

The questions to prepare for a Deliveroo Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

45questions
~6htotal time
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1
Machine LearningStart here. 18 questions · ~144 min
Regularization BasicsEasy

Explain regularization and how it reduces overfitting in supervised learning models.

Bias-Variance TradeoffRegularizationGradient DescentDeliveroo
Handle Imbalanced ClassificationMedium

Choose a classification strategy that performs well when the positive class is rare and costly to miss.

Cross-ValidationRegularizationSupervised LearningDeliveroo
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2
System Design9 questions · ~72 min
Monitor Drift in Ad RankingHard

Design monitoring for a large-scale ad ranking system, with feature drift, training-serving skew, and rollback handled as first-class concerns.

Feature StoreFeature DriftModel ServingDeliveroo
Design Real-Time Fraud Risk ScoringHard

Design a real-time fraud scoring system for card transactions with strict latency, delayed labels, and high availability requirements.

Feature StoreFeature DriftModel ServingDeliveroo
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3
Coding7 questions · ~56 min
Dictionary Underlying AlgorithmMedium

Evaluates knowledge of Python data structure implementation details.

AlgorithmsDeliveroo
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4
Behavioral & Leadership8 questions · ~64 min
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5
More topics3 questions · ~24 min
Detect Production Drift in ModelsHard

How to detect data drift and concept drift in production using metric shifts, control charts, and calibration checks.

CalibrationAUC-ROCThreshold TuningDeliveroo
MLOps Pipeline ReproducibilityMedium

Discuss how to build ML pipelines that are repeatable, traceable, and observable across training and deployment.

model reproducibilitydata pipelinesmlopsDeliveroo
TF-IDF Term FrequencyEasy

Tests understanding of TF-IDF components used in NLP feature engineering.

TF-IDFDeliveroo
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