Senior Machine Learning Engineer - AML Tech

Adyen; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Adyen in Amsterdam is seeking a Senior Machine Learning Engineer to join the Anti-Money Laundering team, building and operating robust ML systems at scale in production environments.

You will own production ML pipelines, upgrade a rules-heavy system to a modern AI/ML engine, collaborate with data engineers and analysts, and work with operations and compliance teams to ensure global operation.

Qualifications

• 7+ years of experience as an engineer in the machine learning domain.
• Proficient Python programmer with production ML lifecycle experience.
• Experience leveraging big data to feed ML pipelines.
• Strong software engineering practices, data engineering and MLOps knowledge.
• Solid understanding of data science, statistics and ML techniques.
• Familiarity with Python data science tools: Spark, SQL, TensorFlow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar, and Airflow.
• Experience with ML infrastructure (K8s, Docker, Airflow, Argo Workflows, Prometheus, Grafana).
• Demonstrated ability to lead projects from ideation to deployment and communicate complex outcomes.

Responsibilities

• Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment.
• Upgrade a rules-heavy system to a modern automated AI/ML engine.
• Collaborate with data engineers and data analysts to build best-in-class FinTech models.
• Work with operations and compliance to ensure models run worldwide without issues.
• Tackle challenges like extreme class imbalance and incomplete ground truth.
• Promote strong engineering practices and robust ML governance.

Skills

Python

ML in production

Data pipelines

MLOps

Big data

Airflow

Kubernetes

Docker

TensorFlow

PyTorch

XGBoost

LightGBM

Pandas

Spark

SQL

Tools

Kubernetes

Docker

Argo Workflows

Prometheus

Grafana

Airflow

Job description

This is Adyen

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.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Senior Machine Learning EngineerAdyen is looking for a Senior Machine Learning Engineer to join our Anti-Money Laundering team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments.

The Anti-Money Laundering 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.

In this role, you will:

• 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

Who You Are:

• You have 7+ years of experience as an engineer working in the machine learning domain;
• You are a strong Python programmer;
• You have experience with the full machine learning model lifecycle in production flows;
• You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data;
• You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles;
• You have knowledge of data science, statistics and machine learning techniques;
• You have strong 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;
• You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
• You have an experimental mindset with a launch fast and iterate mentality;
• You proactively take the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences.

Nice to Have:

• Worked with extremely unbalanced data
• Production LLM experience

Our Diversity, Equity and Inclusion commitments

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. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

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.

At Adyen, we strive to create an accessible and inclusive experience for all candidates. Please let our team know if you need any adjustments to the recruitment process to make it more accessible and/or inclusive to your needs.

This position is based in Amsterdam and we work 3 days per week from the office. Are you currently located in the Netherlands, or if not, are you open to relocate and work hybrid?