Berlin-Based Senior ML Platform Engineer — Build Self-Service ML

SumUp; Berlin (NH); On-site; USD 101,000 - 169,000; Full time

Benefits offered by this job

Virtual Stock Option program

Annual L&D budget €2000

Pension scheme with 20% match

28 days paid leave + holidays

Urban Sports Club subsidy

Kita placement assistance

Subsidised office lunches

Break4me sabbatical after 3 years

Referral bonus

Job summary

SumUp's Machine Learning Platform team builds the foundational tools that every data scientist relies on, from feature engineering and model training through experimentation and monitoring. You will design and build self-service ML platform tooling, simplifying feature creation and standardising infrastructure.

You will collaborate with data scientists to translate workflows into platform improvements, mentor peers, and align ML initiatives with broader data engineering work across teams.

Qualifications

• 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

Responsibilities

• 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

Skills

Python

ML libraries

Production ML platforms

Mentorship

Tools

Metaflow

MLflow

Kubeflow

Tecton

Chronon

Airflow

Docker

Kubernetes

Terraform

Job description

SumUp's Machine Learning Platform team builds the foundational tools that every data scientist relies on, from feature engineering and model training through experimentation and monitoring. You will design and build self-service ML platform tooling, simplifying feature creation and standardising infrastructure.

You will collaborate with data scientists to translate workflows into platform improvements, mentor peers, and align ML initiatives with broader data engineering work across teams.