In this role you will join sennder’s ML team to translate data-driven insights into high-impact production models. You will collaborate with product, end-users, and platform engineers to ship end-to-end models from research through production. Your work will help accelerate profitability, capacity planning, and operational efficiency in Europe’s leading digital freight platform.
hybrid work environment
performance bonuses
Industry innovation & applied ML: explore ML solutions for routing and network optimization
Platform collaboration: work with Data & AI Platform (MLOps) to deploy models and influence standards
End-to-end execution: manage projects from R&D; to production release and monitoring
5+ years of hands-on experience in Data Science or ML Engineering
~ Strong foundation in statistical analysis, hypothesis testing, and data exploration
~ Production-ready ML deployment experience
~ Proficiency in Python, SQL, and Git
~ Experience with cloud data warehouses (e.g., Snowflake)
~ Jupyter Notebooks for data exploration; Knowledge of how to set up and evaluate LLMs in production
~ Business acumen to translate logistics problems into data-driven solutions
~ Python
SQL

📌 Machine Learning Engineering (Barcelona)
🏢 Jobrapido
📍 Barcelona