ML Platform Engineer — Scale Production ML (Hybrid)

Mollie; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Noise cancelling headphones

MacBook

Birthday off

Complimentary baby days

20 days working from abroad

22 holiday days

Commute allowance

Work from home budget

Bike lease plan

Internet allowance

Lunch voucher

Wellbeing program

Pension contribution

Health insurance

Bonus scheme

Equity plans

Referral bonus

Learning platform

Mentor program

Job summary

Mollie is seeking a Machine Learning Platform Engineer to join the ML Platform team within the Data Domain. You will help scientists deploy ML solutions at scale across risk, payments, and other domains.

Based at Mollie’s Lisbon Hub with a distributed team across Amsterdam and Lisbon, you will write production-grade Python and Terraform, build CI/CD pipelines, and manage Kubernetes endpoints in a hybrid environment.

Qualifications

• 1+ year of deploying and maintaining ML models in production.
• Solid understanding of MLOps: experiment tracking, reproducibility, and monitoring.
• Strong Python programming with ML/data libraries.

Responsibilities

• Collaborate with ML Platform Engineers and domain teams to deliver scalable ML solutions.
• Deploy and operationalize ML models to production in partnership with scientists.
• Enhance and maintain our cloud-based ML Platform on GCP with Python and Terraform.
• Build and maintain CI/CD pipelines for ML workflows.
• Deploy, manage, and scale model serving endpoints on Kubernetes.
• Develop and host custom GenAI tooling and platforms for internal teams and customers.
• Champion MLOps best practices including versioning, tracking, data validation, and retraining.
• Ensure platform reliability with observability, monitoring, and alerting.

Skills

Python

Terraform

GCP

Kubernetes

Kubeflow

Docker

CI/CD

MLOps

MLflow

Observability

Tools

Kubeflow

Terraform

Docker

Job description

Mollie is seeking a Machine Learning Platform Engineer to join the ML Platform team within the Data Domain. You will help scientists deploy ML solutions at scale across risk, payments, and other domains.

Based at Mollie’s Lisbon Hub with a distributed team across Amsterdam and Lisbon, you will write production-grade Python and Terraform, build CI/CD pipelines, and manage Kubernetes endpoints in a hybrid environment.