8 Apr 2026

Machine Learning Engineer II

Booking.com

Amsterdam

8 Apr 2026

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Machine Learning Engineer II role at Booking.com in Amsterdam, focusing on developing and deploying ML models for fraud detection, recommendations, and campaign optimization. Requires 3+ years of ML engineering experience in a commercial environment, proficiency in Python, and experience with production ML systems. On-site position with no relocation assistance.

On-siteFull-timeMid LevelMachine Learning EngineeringPython

Machine Learning Engineer II

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On-siteFull-timeMid LevelMachine Learning Engineering

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of relevant work experience

Core Qualifications

Technical (Must-have)

Machine Learning EngineeringPythonbig data retrieval and processing toolsmachine learning facetsMachine Learning systems in productiondata-driven product developmentanalyticsA/B testing

Soft Skills

problem solvingcan do attitudeproactiveexcellent English communication skills

Tools (Must-have)

Google Cloud PlatformBigQueryDataProcCloud ComposerAirflowML frameworks

Preferred Qualifications

Technical (Nice-to-have)

Javacloud environment

Key Responsibilities

•Develop scalable production-grade data and ML pipelines across the entire ML cycle
•Work primarily with the Google Cloud Platform, utilizing and maintaining the infrastructure for technologies like BigQuery, DataProc, Cloud Composer, Airflow and diverse set of ML frameworks
•Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans
•Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies
•Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing
•Continuously evolve your craft, keeping up to date with the latest technologies
•Collaborate with relevant ML teams across the company to improve, scale and extend machine learning tooling and infrastructure

Machine Learning EngineerSoftware DevelopmentEngineeringInformation TechnologyFull-timeOn-sitePythonGoogle Cloud PlatformAmsterdamMid Level

Core Qualifications

Technical (Must-have)

Machine Learning EngineeringPythonbig data retrieval and processing toolsmachine learning facetsMachine Learning systems in productiondata-driven product developmentanalyticsA/B testing

Soft Skills

problem solvingcan do attitudeproactiveexcellent English communication skills

Tools (Must-have)

Google Cloud PlatformBigQueryDataProcCloud ComposerAirflowML frameworks

Key Responsibilities

•Develop scalable production-grade data and ML pipelines across the entire ML cycle

•Work primarily with the Google Cloud Platform, utilizing and maintaining the infrastructure for technologies like BigQuery, DataProc, Cloud Composer, Airflow and diverse set of ML frameworks

•Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans

•Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies

•Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing

•Continuously evolve your craft, keeping up to date with the latest technologies

•Collaborate with relevant ML teams across the company to improve, scale and extend machine learning tooling and infrastructure