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# Machine Learning Engineer

- **Company:** Wolt Enterprises Deutschland GmbH
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Azure Machine Learning, Software Engineering, Workflow Management Systems, Kubernetes, Low Latency, Machine Learning Operations, Docker
- **Published:** May 20, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=a282cfa18ca9313a

## About the Role

Do you have experience in Python?, * You are experienced in end-to-end machine learning deployments and maintenance of ML systems and have at least 2+ years of experience in ML/MLOps;

 * You have deployed and ran ML models in production at scale, maybe with hundreds of RPS and low latency;
 * You bring solid experience in scaling solutions, monitoring ML stacks and troubleshooting ML deployments to the table. You can help with the technical issues the teams encounter;
 * You are experienced in implementing real-time inference ML models in production;
 * Good understanding of ML and MLOps principles as well as Software engineering experience in Python should complete your profile;
 * Experienced in Docker, Kubernetes, workflow orchestration tools (e.g. Flyte), model and experiment registries (e.g. MLflow) and model serving systems (e.g. Seldon);
 * You have solid communication and collaboration skills and are experienced in coordinating initiatives with your team and main stakeholders.

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

## Description

* Build the ML infrastructure to develop, train and deploy Wolt's ranking models that select the content to display to our customers;
 * Work end-to-end, from use case design to implementation, delivery and monitoring of your solutions;
 * Maintain our production ML stack and raise the team's ML engineering excellence bar;
 * Liaise with Wolt's ML Platform team to adopt different ML technologies and to create technical requirements for their solutions;
 * Contribute to Wolt ML Engineering and Applied Science communities;
 * Be part of a cross-disciplinary team with Applied Scientists, Software Engineers and Analysts to provide solutions to customer problems with a direct impact on the company's business KPIs;
 * Work at Wolt's scale: Wolt operates in 30 different markets with millions of customers.

This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany. Read more about our remote setup here.


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