13 May 2026

Machine Learning Engineer

bunq

Amsterdam

13 May 2026

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bunq is seeking a Machine Learning Engineer to build real-time fraud detection systems. The role involves developing ML training frameworks and supervising models in a production cloud environment. Required skills include Python, machine learning frameworks, and stakeholder collaboration.

HybridFull-timeMid LevelPythonMachine Learning Frameworks

Machine Learning Engineer

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HybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.

Employment Type

Full-time

Experience Level

Mid Level

Core Qualifications

Technical (Must-have)

Pythonmachine learning frameworkssupervised learningunsupervised learningcloud environmentobject-oriented programming

Soft Skills

stakeholder collaborationcommunicationproblem solvingteamwork

Preferred Qualifications

Technical (Nice-to-have)

PHP

Key Responsibilities

•Develop and own a generalized ML training framework for fraud detection models.
•Govern the end-to-end lifecycle of supervised transaction monitoring models.
•Partner with product and compliance teams to translate business needs into ML solutions.
•Develop, train, and deploy machine learning models in production cloud environment.
•Apply and optimize supervised and unsupervised ML models to solve business problems.

Machine LearningFraud DetectionPythonCloudHybridAmsterdamFull-timeIT Services

Key Responsibilities

•Develop and own a generalized ML training framework for fraud detection models.

•Govern the end-to-end lifecycle of supervised transaction monitoring models.

•Partner with product and compliance teams to translate business needs into ML solutions.

•Develop, train, and deploy machine learning models in production cloud environment.

•Apply and optimize supervised and unsupervised ML models to solve business problems.