sennder is redefining road logistics. ¿As Europe's leading digital freight forwarder, we are building a smarter, faster, and more sustainable future for freight, powered by a single, unified platform that already runs our entire business. Logistics is one of the best possible use cases for AI, and unlike most of our peers, we own the full loop: the platform, the operations, and the data connecting them. As a Machine Learning Engineer, you will join our highly talented ML team.

This is an applied machine learning role focused on highly innovative, research-oriented topics. You will work on a diverse portfolio of high-impact projects, ranging from optimizing our established Recommendation engine & Pricing engine to building greenfield solutions. This role can be based out of our Berlin, Barcelona or Amsterdam office.

To succeed, this role demands a strong focus on deep Data Science and statistical exploration (roughly 70% of your scope), paired with the foundational Machine Learning Engineering skills (~30%) required to transition prototypes into production-ready models. You are expected to have a holistic approach to project deployment, acting as an end-to-end ML Engineer and taking full ownership from "Light MVP" R&D; to production deployment.Build robust predictive models to forecast carrier behavior and market capacity, enabling our operational teams to secure the right trucks at the right price before the market shifts.Industry Innovation & Applied ML: Explore and validate new areas where machine learning can solve fundamental logistics challenges (such as freight routing and network optimization), turning open-ended industry problems into scalable, data-driven solutions.Leverage foundational models and AI agents both as daily accelerators for your own engineering workflows and as core components to build new internal products. Partner with our Data & AI Platform (MLOps) team to utilize and deploy models via our internal ML infrastructure.

You will act as a key customer of this platform,



providing continuous feedback and contributions to shape our integral engineering standards. Adopt a holistic approach to project deployment, maintaining an end-to-end attitude that covers the entire lifecycle from initial R&D; and prototyping all the way through to production release and monitoring.Experience: 5+ years of hands-on experience in Data Science or Machine Learning Engineering.Data Science Fundamentals: Strong foundation in statistical analysis, hypothesis testing, and deep data exploration to validate assumptions and commercial viability before building complex models.

ML Engineering: Experience deploying models to production environments, writing modular code, and understanding software engineering best practices.Technical Skills: Strong proficiency in Python, SQL, and Git.

Experience working with cloud data warehouses (e.g., Snowflake), utilizing Jupyter Notebooks for data exploration, and building interactive data apps/dashboards (e.g., A solid understanding of how to set up, evaluate, and leverage Large Language Models (LLMs) and related AI tools in a production setting.Business Acumen: Ability to translate complex & multifaceted logistical problems into data-driven solutions, prioritizing 'Outcome over Output'.Collaboration: Strong communication skills to work closely with Product Managers, end-users, and a diverse team of ML Engineers, Data Scientists and Platform Engineers.Impact: Build the data and AI foundation for Europe's leading digital freight platform, at the moment sennder is shifting from buy-and-build to outcome-driven and AI-native.Vibrant Workspaces: Our offices are equipped with healthy snacks, focus zones, and social areas to keep you energized and connected. Highlights include a slide in our Wroclaw office and a sunny rooftop terrace in Berlin, Amsterdam, and Milan.Culture: Work in a fast-paced, hybrid environment with 1,100 talented, diverse colleagues from 74 nationalities. Our compensation package may include performance bonuses, referral rewards, or equity that align with our goal of building a thriving company together.

📌 Machine Learning Engineer - Fully Remote (Barcelona)
🏢 Sennder
📍 Barcelona