Lisbon, Portugal · Hybrid
Your Opportunity We are looking for a Machine Learning Platform Engineer to join Mollie's Machine Learning Platform team, sitting within our broader Data Domain. Our ML Platform empowers Machine Learning Scientists to de…
Skills: Python, Terraform, GCP, Kubernetes, MLOps
Ghent, Flanders, Belgium · Hybrid
Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with p…
Skills: AML/CFT Compliance, Financial Crime Expertise, Regulatory Reporting, Sanctions Framework, Belgian Regulatory Law
Amsterdam, North Holland, Netherlands · Hybrid
Analytics Engineer II - Revenue Operations The role: Job title: Analytics Engineer II Location: Amsterdam or Milan Remote/ Hybrid: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money man…
Skills: SQL, Data Visualization, Data Modelling, Stakeholder Management, BI Tools
Milan, Lombardy, Italy · Hybrid
Analytics Engineer II - Revenue Operations The role: Job title: Analytics Engineer II Location: Amsterdam or Milan Remote/ Hybrid: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money man…
Skills: Sql, Data Visualization, Data Modelling, Stakeholder Management, Business Intelligence
Maastricht, Limburg, Netherlands · On-site
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 …
Skills: Dutch Fluency, English Fluency, Customer Support, Problem Solving, Communication
Paris, Ile-de-France, France · On-site
Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 2500,000 companies use Mollie to get paid, manage money and grow – with …
Skills: Inbound Sales, Lead Qualification, Outbound Prospecting, CRM Management, French Fluency
Lisbon, Portugal · On-site
Your opportunity: At Mollie, we’re on a mission to make payments and money management effortless for every business in Europe. We started 20 years ago when we launched a more direct, affordable way for companies to get p…
Skills: Engineering Management, Distributed Systems, JVM, PHP, Full-stack Development
Amsterdam, North Holland, Netherlands · On-site
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 …
Skills: Project Management, Event Management, Content Creation, Localization, Email Marketing
Amsterdam, North Holland, Netherlands · On-site
Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with p…
Skills: People Management, Credit Risk Management, Credit Model Development, Policy Development, Stakeholder Management
Lisbon, Portugal · On-site
Your Opportunity: At Mollie, we’re on a mission to make payments and money management effortless for every business in Europe. Serving more than 250,000 businesses across the continent, we aim to cut through financial bu…
Skills: PHP, Java, Go, C#, Python
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The role involves developing and maintaining a scalable Machine Learning platform on GCP using Python and Terraform to support various domain teams. Responsibilities include operationalizing ML models, building CI/CD pipelines, and managing model serving endpoints on Kubernetes.
Candidates need 1+ year of experience deploying ML models in production and a strong grasp of MLOps principles. Proficiency in Python and familiarity with GCP, Docker, and Kubernetes are required.
We are looking for a Machine Learning Platform Engineer to join Mollie's Machine Learning Platform team, sitting within our broader Data Domain. Our ML Platform empowers Machine Learning Scientists to develop and deploy custom ML solutions at scale across Mollie, serving domains including Risk & Fraud, Payments, Merchant Experience, Financial Services, Go-to-Market, and more. As the central team responsible for Mollie's Machine Learning Platform, we own the maintenance and continuous enhancement of the platform, ensuring it remains reliable, scalable, and fit for production-grade workloads. We work closely with domain teams to bring custom ML models into products, bridging the gap between research and real-world impact, while also designing and developing custom GenAI tooling and platforms for both internal employees and Mollie's customers.
This is a hands-on role where you will spend the majority of your time writing Python and Terraform alongside a team of skilled ML Platform Engineers. Based at Mollie's Lisbon Hub, you will be part of a geographically distributed team spanning Amsterdam and Lisbon, working in a collaborative environment that embraces both remote and hybrid ways of working.
As an ML Platform Engineer, you will:
Collaborate closely with ML Platform Engineers, Machine Learning Scientists, and engineers across Mollie's domain teams to deliver scalable Machine Learning solutions
Deploy and operationalize ML models to production in partnership with Machine Learning Scientists, bridging the gap between experimentation and real-world impact
Enhance and maintain our cloud-based ML Platform on GCP, writing production-grade Python and Terraform daily
Build and maintain CI/CD pipelines for ML model training and inference, ensuring reliable and automated workflows across environments
Deploy, manage, and scale model serving endpoints on Kubernetes, ensuring low-latency, high-availability inference for production workloads
Assist in extending, developing, and hosting custom and open-source AI tooling ; enabling teams to rapidly build and deploy AI-powered solutions.
Champion MLOps best practices, implementing standards around model versioning, experiment tracking, data validation, and automated retraining
Ensure platform reliability by setting up observability, monitoring, and alerting for both infrastructure and deployed models
Maintain and enhance open-source AI tooling hosted at Mollie (such as LiteLLM and LibreChat), and further support and expand our generative AI capabilities.
1+ year of experience deploying and maintaining ML models in production
Good understanding of MLOps principles, including matters such as experiment tracking, reproducibility, pipeline automation, model versioning, and monitoring in production
Strong hands-on Python programming skills, with proficiency across common ML and data libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, and MLflow
Familiarity with at a major cloud platform, preferably GCP
Experience with containerization (Docker), with preferred familiarity in container orchestration tools such as Kubernetes and Kubeflow.
Strong context-switching ability with sharp attention to detail, adapting quickly to shifting priorities
Preferably familiarity with infrastructure-as-code (IaC) tools such as Terraform
Experience building and maintaining CI/CD pipelines for ML workflows
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.
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.
Mollie offers a single platform for businesses to get paid and manage their money. One that makes payments, reconciliation, reporting, fraud prevention, and financing simple for all – from startups to enterprises. Founded in 2004, Mollie’s mission is to make payments and money management effortless for every business in Europe. Our 850-strong team works from offices across the continent, including Amsterdam, Ghent, Lisbon, London, Maastricht, Milan, Munich, Berlin, Kiel and Paris. Today, more than 250,000 businesses use Mollie to drive revenue, reduce costs, and manage funds.
Offices: Keizersgracht 126, Amsterdam, North Holland 1015, NL · Ghent, BE · Munich, DE · Lisbon, PT · London, GB
Mollie offers a single platform for businesses to get paid and manage their money. One that makes payments, reconciliation, reporting, fraud prevention, and financing simple for all – from startups to enterprises. Founded in 2004, Mollie’s mission is to make payments and money management effortless for every business in Europe. Our 850-strong team works from offices across the continent, including Amsterdam, Ghent, Lisbon, London, Maastricht, Milan, Munich, Berlin, Kiel and Paris. Today, more than 250,000 businesses use Mollie to drive revenue, reduce costs, and manage funds.
Offices: Keizersgracht 126, Amsterdam, North Holland 1015, NL · Ghent, BE · Munich, DE · Lisbon, PT · London, GB
