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Prep plan
Updated weekly · Last refresh Oct 17

GSK Machine Learning Engineer Interview Questions

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

28questions
~5htotal time
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1
CodingStart here. 7 questions · ~77 min
Pandas Row FilteringMedium
Practice

Remove pandas DataFrame rows that match one or more row-level criteria.

CodingpandasData StructuresGSK
Longest Subarray With Target SumMedium
Practice

Use prefix sums and a hash table to find the longest continuous subarray with a given sum in O(n) time.

Hash TablesArraysSearchingGSK
Coding Topics You FacedEasy
Practice

Return a concise list of coding topics and one key takeaway for each, preserving the original order.

CodingpandasBasic AlgorithmsGSK
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2
Machine Learning6 questions · ~66 min
Preventing OverfittingMedium

Explain practical ways to reduce overfitting and choose the right validation strategy for model training.

Cross-ValidationRegularizationoverfittingGSK
L1 vs L2 RegularizationMedium

Explain how L1 and L2 regularization differ mathematically and when to use each in model training.

Feature EngineeringRegularizationSupervised LearningGSK
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3
Behavioral & Leadership12 questions · ~132 min
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4
More topics3 questions · ~33 min
Imbalanced Binary Classification MetricsHard

Prioritize metrics for a highly imbalanced medical classifier and justify tradeoffs between recall, precision, and calibration.

ClassificationPrecisionModel MetricsGSK
Deploying ML With Containers and KubernetesMedium

Tests practical deployment experience and operational readiness for ML systems.

experiencecollaborationdeploymentGSK
Continuous Training Pipeline DesignHard

Tests ML system design for continuous learning and safe redeployment in production.

Feature StoreModel ServingPipelinesGSK
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