Senior Machine Learning Engineer (All genders) at Zalando

May no longer be active — verify on the employer site

At a glance

Company
Zalando
Location
Germany
Work arrangement
On-site
Employment type
Full-time
Experience
5–10 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted

✨ The Stack take on this Zalando job

  • 🏢 Zalando has 15 jobs here, 15 with visa sponsorship see all
  • 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
  • 💡 No salary shown. Ask Zalando if it is above the minimum.

Updated 2026-11-03, from our data and official sources.

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About the role

Responsibilities:
- Build and optimize end-to-end ML pipelines for training, deployment and monitoring of recommendation models
- Productionize models by orchestrating workflows with Apache Airflow for batch and real-time inference
- Deploy scalable, reliable inference solutions on AWS (SageMaker, CloudFormation) and manage operational concerns
- Improve data quality, real-time feature engineering and integrate with feature stores
- Collaborate with Applied Scientists, Product and Software Engineers to deliver personalized experiences
- Monitor model performance and implement retraining and validation processes

Requirements:
- 5+ years of experience with PySpark, ML engineering/ML Ops and production ML deployments
- Strong Python skills and deep learning framework experience (e.g., PyTorch)
- Hands-on experience with AWS (SageMaker, CloudFormation) and workflow orchestration (Apache Airflow)
- Experience with Databricks or similar platforms for scalable data processing and inference
- Familiarity with feature stores, real-time feature engineering and Kubernetes is a plus
- Strong communication and collaboration skills

Responsibilities

You will build and optimize machine learning pipelines for training, deploying, and monitoring recommendation models. Additionally, you will productionize models by orchestrating workflows and ensuring scalable, reliable inference on AWS.

Requirements

Candidates must have 5+ years of experience with PySpark, ML Ops, AWS, Apache Airflow, Python, and deep learning frameworks. Proven experience in productionizing machine learning models and orchestrating workflows is required.

Key skills

  • PySpark — in 41 other listings on The Stack
  • ML Ops — in 2 other listings on The Stack
  • AWS — in 788 other listings on The Stack
  • SageMaker — in 4 other listings on The Stack
  • CloudFormation — in 20 other listings on The Stack
  • Apache Airflow — in 13 other listings on The Stack
  • Python — in 1173 other listings on The Stack
  • PyTorch — in 90 other listings on The Stack
  • Deep learning
  • Machine learning
  • Data quality
  • Feature stores
  • Real-time feature engineering
  • Kubernetes
  • Recommendation systems
  • Workflow orchestration

On The Stack (as of 2026-11-03)

Frequently asked questions about Zalando

Is this Senior Machine Learning Engineer (All genders) role still open?

It was posted on 2026-08-10. Listings more than 30 days old may no longer be active, so check Zalando's site before applying.

Does Zalando offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Zalando's site.

Where is this role located?

The listing gives the location as Germany. It is marked on-site.

What skills does this role ask for?

The listing names: PySpark, ML Ops, AWS, SageMaker, CloudFormation, Apache Airflow, Python, PyTorch, Deep learning, Machine learning, Data quality, Feature stores, Real-time feature engineering, Kubernetes, Recommendation systems, Workflow orchestration.

All roles at Zalando

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