Machine Learning Platform Engineer, Mollie
Payment service provider
Be an early applicant
Payment service provider
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To make payments and money management effortless for every business in Europe.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Mollie, an Amsterdam-based startup, enables businesses to integrate payment methods into websites or apps via an API, improving upon the difficult options offered by traditional banks. Focused on the SMB market, Mollie serves over 120,000 businesses, including Deliveroo, Unicef, and Acer.
2021 funding supported international expansion and the launch of Mollie Capital in the UK, providing SME merchants with quick and flexible funding up to £250,000. This service has already provided over €50 million in loans to more than 5,000 SMEs in Europe.
In 2023, Mollie reported a 36% increase in net revenue to €99 million, driven by larger customers and new products. Operational costs fell by 30% due to AI-driven efficiencies and the launch of MollieGPT for customer support. With continued international expansion and innovative products, Mollie aims to simplify financial processes for businesses of all sizes.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
76% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2021
$746.1m
SERIES C
Sep 2020
$106m
SERIES B
Total funding: $880.2m
Company benefits
- Noise cancelling headphones
- MacBook
- Birthday off
- Complimentary baby days
- 20 days working from abroad
- 25 holiday days
- Commute reimbursement
- Work from home budget
- Bike lease plan
- Internet allowance
- In-office lunch
- Wellbeing program
- Pension contribution
- Health insurance
- Bonus scheme
- Equity plans
- Referral bonus
- Learning platform
- Mentor program
Company HQ
Grachtengordel-West, Amsterdam, Netherlands
Leadership
Koen Köppen
(CEO)Previously worked at Klarna in roles including Director of Global Solutions, VP of Product, and CTO.
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