Build with us
Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.
We're one of Europe's fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you'll have the freedom to create and the trust to deliver.
If you're ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.
Your impact
Onboarding is the first handshake a business has with Mollie, and we’re making it smarter. As a Machine Learning Engineer within our Discovery - Onboarding team, you’ll build the intelligent systems that turn a complex regulatory hurdle into a seamless, automated experience. Your work directly impacts our ability to scale by accelerating how quickly merchants can start processing payments safely.
You’ll bridge the gap between data science and production-grade engineering. We aren’t looking for theorists; we need a builder who can design, deploy, and maintain ML models that solve real-world problems like document verification and risk assessment. By joining this mission, you’ll help us eliminate manual friction and define what the future of automated onboarding looks like in a high-growth fintech environment.
What you'll ship
Build and deploy production-ready ML models that automate merchant verification and onboarding workflows.
Scalable data pipelines and feature stores that power real-time decision-making systems.
Robust MLOps infrastructure to ensure our models are monitored, retrained, and performing at peak efficiency.
Integrated AI solutions that reduce manual intervention, directly shortening the time-to-revenue for new merchants.
Technical documentation and clean, modular code that sets the standard for ML engineering within the team.
What you'll bring
Solid experience putting machine learning models into production environments—you know how to make code run reliably at scale.
Deep proficiency in Python and familiarity with modern ML frameworks like PyTorch, TensorFlow, or Scikit-learn.
Strong engineering fundamentals with experience in SQL, cloud infrastructure (GCP preferred), and CI/CD practices.
A results-driven mindset—you prioritize solving the business problem over building the most complex model.
A collaborative spirit, ready to work closely with Product and Risk teams to turn data into a competitive advantage.
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
Want a peek behind the scenes? Check out what life at Mollie is really like.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
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