Senior ML Scientist - Real-Time Payments Platform

FDE Times; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

Adyen is seeking a Senior Machine Learning Scientist to join our Amsterdam team, building production-ready ML solutions that power data products. You will design, develop, and deploy advanced models, balancing performance with privacy and governance.

You will work across domains on real-time decision systems, fraud prevention, and risk platforms, collaborating with product and data teams while advancing MLOps practices. This role is office-based in Amsterdam with no remote option.

Qualifications

• 5+ years of experience as a machine learning or data scientist.
• Experience with the full machine learning model lifecycle in production flows.
• Experience leveraging a big data framework to create data pipelines for models.
• Good understanding of software engineering, data engineering and MLOps principles.
• Knowledge of data science, statistics, ML techniques; DL experience is a plus.
• Familiar with common DS tools: Spark, SQL, TensorFlow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, Airflow.
• Experimental mindset with strong experimentation skills.

Responsibilities

• Research, design, implement, train, deploy and monitor ML algorithms for batch or real-time prediction.
• Develop orchestrated data- and ML-training pipelines.
• Collaborate with MLOps to improve ML tooling and automation.
• Work with product managers to define problems and frame them as ML tasks.
• Analyze large, complex datasets to find patterns and insights.
• Define KPIs, design experiments, and quantify business impact.

Skills

5+ years experience in ML/data science

End-to-end ML lifecycle experience

Experimental mindset

Stakeholder communication

Tools

TensorFlow

PyTorch

XGBoost/LightGBM

Pandas

MLFlow

Airflow

Spark

SQL (Trino)

Job description

Adyen is seeking a Senior Machine Learning Scientist to join our Amsterdam team, building production-ready ML solutions that power data products. You will design, develop, and deploy advanced models, balancing performance with privacy and governance.

You will work across domains on real-time decision systems, fraud prevention, and risk platforms, collaborating with product and data teams while advancing MLOps practices. This role is office-based in Amsterdam with no remote option.