We foster a culture built around hybrid work in Munich (2 days in the office), while staying open to remote talent who value collaboration and real impact.

Limango is a unique online destination created with families in mind, delighting customers daily with an outstanding selection of brands at attractive prices. Headquartered in the heart of Munich, our centrally located office is home to 300 passionate employees who share a deep commitment to understanding and fulfilling the needs of families.

At limango, you'll find everything a family could need: fashion for babies, kids, women, and men, as well as homeware, toys, cosmetics, and family holiday offers. We proudly feature a mix of classic, well-established brands alongside emerging, innovative European labels.

Founded in 2007 and a proud member of the Otto Group since 2009, limango now serves over 22 million members across Germany, Austria, the Netherlands, and Poland. We sell over 40,000 products daily to German customers alone.

Our ambition is to keep growing and earn the trust of families, especially moms, throughout Europe. To help us achieve this goal, we are looking for motivated, talented individuals eager to join us and be part of something big.

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying decisions, where you will build, optimize and productionize models operating at scale.

You will explore and implement LLM‑based methods and agentic AI approaches to enhance automation, decision support and model interpretability in real retail scenarios. A key part of your role will be building reliable, scalable data pipelines and ensuring high‑quality data flows across our ML ecosystem.

You will collaborate closely with business stakeholders, product teams and data specialists to translate complex retail challenges into measurable ML outcomes, ensuring that models deliver tangible business value. You will join a focused team of three Machine Learning Engineers and report directly to the ML Retail Team Lead.

Technical expertise

• Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production.
• Strong command of Python (data processing, model development, performance optimization) and SQL (analytical queries, data modelling)
• Practical experience with ML frameworks such as TensorFlow, scikit‑learn, XGBoost and/or LightGBM, including model training, tuning and deployment
• Hands‑on experience with Google Cloud Platform (GCP) services used in ML workloads (e.g., Cloud Storage, BigQuery, Vertex AI, Cloud Functions)
• Familiarity with Apache Airflow for orchestrating data pipelines and ML workflows
• Fluency in English for technical documentation and cross‑team collaboration

Nice to have

• Domain knowledge in retail, e‑commerce or supply chain, especially data patterns and operational constraints.
• Experience building and maintaining pricing, demand forecasting or other time‑series models in production environments.
• Understanding of ETL/ELT pipelines, MLOps practices, CI/CD for ML, feature stores and model monitoring.
• Hands‑on experience with Large Language Models, prompt engineering, fine‑tuning or integrating LLMs into production systems.

Personal qualities

• Strong analytical reasoning and a structured approach to designing ML solutions.
• Curiosity and willingness to experiment with emerging technologies, architectures and modelling techniques.
• Ability to explain complex ML concepts, trade‑offs and model behaviour to non‑technical stakeholders.
• Proactive, ownership‑driven mindset with focus on delivering reliable production systems.
• Comfort working with incomplete information, evolving requirements and iterative discovery.
• Team‑oriented attitude, openness to code reviews, architectural discussions and collaborative problem‑solving.

• Hybrid working model for people from Munich, remote working for people from other locations.
• A Culture That Feels Like Home, open, team-oriented atmosphere.
• Room to Grow, take ownership of your work with creative freedom in a fast-moving company.
• Work in the Heart of Munich, our office is centrally located.
• Continuous Learning, access to language courses and tailored development programs.
• Perks That Matter, we subsidize your MVG ticket, EGYM Wellpass or JobBike to support your mobility and well-being.
• Company Events, regular company events that our culture and bring the team together.