Location: Berlin, Germany | Employment type: Office First | Team: Machine Learning Platform, Data & ML Platform Team description SumUp's Machine Learning Platform team builds the foundational tools that every data scientist at SumUp relies on, from feature engineering and model training through to experimentation, monitoring and serving.
Right now, taking a model from idea to production can take months rather than weeks, and that gap has real consequences: it slows down fraud detection, lending decisions, and other models that protect SumUp's business and its customers.
This role matters because it tackles that bottleneck directly.
You'll join a small, high-trust team of ML and ML Ops engineers who sit alongside our Data Streaming and Data Gateway teams, giving you first-hand visibility into how data moves and transforms across the business.
If you enjoy turning messy, duplicated tooling into something reliable and self-service, this is a chance to shape infrastructure that touches nearly every model SumUp runs.
What you'll do Design and build ML platform tooling that supports feature engineering, training, experimentation, monitoring, and serving across both online and offline use cases Simplify how data scientists create features, reducing reliance on complex Spark workflows through better abstractions or tooling Standardise ML infrastructure and developer experience, replacing fragmented, ad hoc solutions with scalable, self-service components Partner closely with data scientists to understand their workflows and pain points, translating them into concrete platform improvements Mentor data scientists on best practices, helping drive adoption of the platform across teams Collaborate with the Data Platform teams to keep ML initiatives aligned with wider data engineering work You'll be great for this role if.
More than 6 years of experience building production-grade ML infrastructure such as feature stores, training or orchestration frameworks, experimentation.