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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Sennder Bekijk Alle Vacatures - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Database, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Recommender Systems, Release Management, Power BI, Software Construction, Software Deployment, SQL Databases, Jupyter Notebook, Large Language Models, Snowflake, Git, AI Platforms, Data Analytics, Machine Learning Operations, Streamlit Framework, Network Optimization - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.nl/job/nl45034f8a4b982601d2bf3d08de32abec/eaa ## About the Role * 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. You must possess a working knowledge of ML approaches to address basic regression and classification problems. * 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., Streamlit, PowerBI) to visualize outcomes for stakeholders. * AI Proficiency: 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. ## Description 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 will not just be implementing technical specifications; you will sit directly with end-users, operators, and Product Managers to deeply understand their workflows, granting you real decision-making power over the product's direction. 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. WHAT YOU WILL DO… * Pricing Engine Optimization: Develop and iterate on bid estimation algorithms and margin-optimization models to power our dynamic pricing engine, directly driving company profitability. * Carrier Forecasting: 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. * Recommender Systems: Maintain and improve our existing recommender systems to seamlessly support our operational teams' day-to-day efficiency. * 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. * Product Discovery & Ideation: Partner closely with Product Managers to drive continuous product discovery, translating ambiguous operational pain points into clear, outcome-driven ML hypotheses and rapid prototypes. * AI & LLM Integration: Leverage foundational models and AI agents both as daily accelerators for your own engineering workflows and as core components to build new internal products. We expect you to pragmatically evaluate trade-offs and always choose the right solution for the right problem-whether that is an LLM, a traditional ML model, or a simple heuristic. * Platform Collaboration: 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 global engineering standards. * End-to-End Execution: 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023)