Senior Machine Learning Engineer - AML Tech

About the Position

Senior Machine Learning Engineer - AML Tech

Amsterdam

At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster.

We are looking for a Senior Machine Learning Engineer to join our Anti-Money Laundering (AML) team in Amsterdam. This role involves building and operating robust machine learning systems at scale in production environments.

The AML team processes a massive transaction volume (over 800B euro in H1 2026) to detect complex financial crime and cover a wide range of customer risks. We currently run a hybrid stack of business rules and machine learning models, with a clear mission to systematically reduce our dependence on static rules and transition to a modern, model-first detection engine.

Responsibilities

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment
• Help us upgrade an existing rules-heavy system to a modern automated AI/ML engine
• Collaborate with data engineers and data analysts to develop best-in-class Fintech models
• Collaborate with operations and compliance teams to ensure Adyen’s models operate worldwide without a hitch
• Tackle difficult technical challenges like extreme class imbalance and incomplete ground truth
• Support and encourage good engineering practices

Requirements

• 7+ years of experience as an engineer working in the machine learning domain
• Strong Python programming skills
• Experience with the full machine learning model lifecycle in production flows
• Experience leveraging big data to create the pipelines needed to feed the models with appropriate data
• Strong understanding of good software engineering practices as well as data engineering and MLOps principles
• Knowledge of data science, statistics, and machine learning techniques
• Familiarity with the standard data science toolkit in Python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, or similar MLOps frameworks, and Airflow
• Knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
• Experimental mindset with a launch fast and iterate mentality
• Proactively take the lead in projects, from ideation to deployment
• Experience working with a wide range of stakeholders and ability to clearly communicate complex outcomes over a wide range of audiences

Nice to Have

• Deep PySpark expertise
• Finance domain experience
• Worked with extremely unbalanced data
• Production LLM experience

We Offer

• Competitive salary
• Opportunity to work in a dynamic and inclusive environment
• Professional development opportunities

About the Company

At Adyen, we are building an organization that supports people in their many unique life situations. Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours.

Our Diversity, Equity and Inclusion commitments

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s Next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This is a full-time position based in our Amsterdam office, and it requires relocation if you are currently living outside of the Netherlands.

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