Senior Machine Learning Engineer (All genders)

Role: We are looking for a Senior Machine Learning Engineer to enhance Zalando’s recommendation ML systems, making them more scalable, efficient, and impactful. You will play a key role in productionizing ML models, optimising pipelines, and ensuring seamless deployment of high‑performing recommendation systems, working closely with Applied Scientists, Product and Software Engineers to shape personalized shopping experiences for millions of customers. Responsibilities: - Build and optimise ML pipelines for training, deploying, and monitoring recommendation models. - Productionise ML models by orchestrating workflows (Apache Airflow) and deploying scalable, reliable solutions on AWS for real-time and batch inference. - Improve data quality and reliability for real-time and batch inference systems. Qualifications: - 5+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python and deep learning frameworks (e.g., PyTorch). - Proven experience in productionising ML models and orchestrating ML workflows. - Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference. - Strong collaboration and communication skills. - Experience with feature stores, real‑time feature engineering or Kubernetes is a plus. What We Offer: - Employee shares program, 40% off fashion and beauty products, 30% off Zalando Lounge, external partner discounts. - 2 paid volunteering days per year, 27 days of vacation starting, relocation assistance. - Family services, health and wellbeing options (Gympass), mental health support and coaching. - Development opportunities through training platform and bi‑annual peer‑to‑peer review.