Trade Republic is hiring a

Senior Machine Learning Engineer

Please note that this position is based in Berlin, Germany - relocation support is provided if required. 

 

THE BEST WORK OF YOUR CAREER

 

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +4 million customers who trusted us with over 35B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.


WHAT YOU WILL BE DOING

 

The Machine Learning Platform team at Trade Republic empowers teams to innovate faster with state-of-the-art tools and infrastructure, enabling seamless transitions from experimentation to production.

 

We primarily use Python, SQL, and AWS services, with Terraform for infrastructure as code and GitHub Actions for efficient development. Our core stack includes Kafka for messaging, Spark and Flink for critical applications, and LGTM for observability.

  • Develop and enhance the Machine Learning Platform for seamless model experimentation, deployment, and operationalization.
  • Build tools for model reliability, including data drift detection, degradation monitoring, and CI/CD pipelines for automated deployment.
  • Drive MLOps best practices, ensuring security, scalability, and adherence to company-wide engineering standards.
  • Mentor team members through code reviews and architecture guidance, fostering growth and technical excellence.

 

WHAT WE'RE LOOKING FOR

  • Extensive MLOps experience, with expertise in building and operating machine learning pipelines and infrastructure for large-scale applications, including diverse algorithms like random forests, boosting methods, and graph-based models.
  • Proficiency in Terraform, Kubernetes, and CI/CD pipelines, with bonus points for experience in GPU computing, PyTorch, and distributed systems like Spark or Flink.
  • A research-driven mindset, balancing rapid delivery with long-term scalability, and the ability to navigate uncertainty while shaping strategy.
  • Proven leadership in guiding technical teams and driving continuous improvement in tools and techniques



WHY YOU SHOULD APPLY NOW 

 

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger. We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out at [email protected].

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