Machine Learning Engineer - Fintech - Amsterdam - €55,000
Want to build ML systems that power millions of transactions worldwide?
A leading global fintech company is looking for an ML Engineer to join their ML Platform team. You’ll help develop scalable, production-ready systems that enable real-time fraud detection and payment optimisation—delivering real impact to customers and merchants across the globe.
This is an opportunity to grow alongside talented engineers, take ownership of end-to-end features, and contribute to a platform that handles billions in transactions every year.
What you’ll be working on…
- Designing, building, and maintaining systems for training, deploying, and monitoring ML models at scale.
- Expanding and optimising the company’s feature store for complex online and offline use cases.
- Owning end-to-end delivery of ML features, from concept to production.
- Collaborating with cross-functional teams to ensure models are robust, efficient, and impactful.
What we’re looking for…
- Solid Python development skills, with a focus on clean, production-ready code.
- Experience working with production ML models and MLOps best practices.
- Familiarity with cloud-based development (AWS preferred).
- Knowledge of one or more ML tools/frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, Spark, or SageMaker.
- Understanding of observability and monitoring for production systems.
- Strong communication skills and a collaborative, ownership-driven mindset.
- Curiosity, adaptability, and a willingness to tackle open-ended challenges.
Why join?
You’ll have the freedom to deliver meaningful work, the support of a high-performing team, and the chance to make a huge impacts on global commerce.