Senior Machine Learning Engineer - AML Tech

Adyen
Amsterdam, Netherlands
On-site

Who this role is best for

Geared toward experienced engineers comfortable with building and operating ML systems in Fintech, with a focus on transitioning from rules-based to model-first detection.

Best fit for

  • Experienced engineers with a background in ML pipelines and Fintech domain challenges
    — “building and operating robust machine learning systems at scale in production environments”
  • Candidates who lead technical projects from ideation to deployment and communicate complex outcomes effectively
    — “proactively take the lead in projects, from ideation to deployment”
  • Individuals with expertise in big data pipelines and MLOps frameworks
    — “leverage big data to create the pipelines needed to feed the models with appropriate data”

Things to consider

  • Relocation is required for candidates not currently based in the Netherlands
    — “This is a full-time position based in our Amsterdam office, and it requires relocation”
  • Candidates should be prepared for a long interview process, potentially up to 4 weeks
    — “Our interview process tends to take about 4 weeks to complete”

How to stand out

  • Highlight experience with transitioning from rules-based to model-first systems in your resume
    — “transition to a modern, model-first detection engine”
  • Demonstrate your ability to manage end-to-end ML model lifecycles in production
    — “full machine learning model lifecycle in production flows”
  • Showcase your proficiency with Python and MLOps tools such as MLFlow and Airflow
    — “standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks”
  • Emphasize your experience with handling extreme class imbalance in datasets
    — “Tackle difficult technical challenges like extreme class imbalance”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop and maintain production ML pipelines
  • Upgrade existing rules-heavy system to a modern automated AI/ML engine
  • Collaborate with data engineers and data analysts
  • Support and encourage good engineering practices
Typical background
7+ years of experience as an engineer working in the machine learning domainStrong Python programmerExperience with the full machine learning model lifecycle in production flows

Skills & requirements

Required

PythonMachine LearningMlopsBig DataData EngineeringSoftware EngineeringData ScienceStatisticsCloud Platforms

Preferred

Deep Pyspark ExpertiseFinance Domain ExperienceProduction LLM Experience

Stack & domain

PythonSparkTensorFlowPyTorchXgboostLightgbmPandasMlflowAirflowKubernetesDockerArgo-workflowsPrometheusGrafanaLeadershipCommunicationFinance

About the role

Original posting from Adyen via Greenhouse

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 Engineer

Adyen 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:

Deep PySpark expertise 

Finance domain experience

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.

Source: Adyen careers (Greenhouse)

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