Machine Learning Engineer

SumUp is a global fintech company empowering small businesses with simple and affordable tools. The Machine Learning Platform team builds foundational tools for data scientists, focusing on feature engineering, model training, experimentation, monitoring, and serving.

• 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.

• More than 6 years of experience building production-grade ML infrastructure such as feature stores, training or orchestration frameworks, experimentation platforms, or model serving and monitoring systems.
• Strong proficiency in Python and ML libraries.
• Experience with ML orchestration tools such as Metaflow, and familiarity with platform tooling such as MLflow, Kubeflow, Tecton, Chronon, or Airflow.
• Solid understanding of batch and real-time data processing patterns, for example Spark, Flink or Kafka.
• Comfort working with AWS cloud native services and infrastructure tooling such as Docker, Kubernetes, or Terraform.
• Track record of partnering with stakeholders to turn workflow pain points into reusable, self-service platform capabilities.

• Office-first setup in Berlin.
• Virtual Stock Option programme.
• Annual L&D budget of €2000.
• Corporate pension scheme matching up to 20% of contributions.
• 28 days of paid leave plus public holidays and special leave days.
• Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches.
• 1-month sabbatical after 3 years of service.
• Referral Bonus.