Machine Learning Engineer

Imagine boosting your career while solving real‐world AI problems used by industrial teams around the world. In this role, your machine‐learning models won't stay in notebooks — they'll actively prevent failures, optimise processes, and drive smarter decisions in production environments. We're partnering with a fast‐growing technology company in the Flemish Region that is expanding its data and analytics capabilities. They're looking for a Machine Learning Engineer who wants to deepen their applied ML skills, see tangible impact from their work, and help shape a global industrial analytics platform. Why This Role Is Worth Your Time Build impact you can point to Your models will power forecasting, anomaly detection, and predictive maintenance — helping customers reduce downtime and operate more efficiently. You'll be able to say, "this model is live and delivering value." Grow as an applied ML engineer You'll own the full lifecycle: from raw data and feature engineering to deployment and monitoring. This end‐to‐end exposure accelerates your transition from experimentation to production‐grade ML. Learn with experienced peers You'll work alongside senior data scientists and engineers, gaining hands‐on exposure to modern ML practices, cloud architectures, and scalable systems. Have a voice in the platform's future Your ideas won't get lost. You'll influence architectural decisions and help define new ML‐driven features as the platform scales globally. What You'll Be Doing — and What You'll Gain Each part of your work is designed to strengthen your real‐world ML skill set: Develop and deploy time‐series ML models (forecasting, anomaly detection, predictive maintenance), giving you deep experience with industrial‐grade data problems. Transform complex raw data into robust features and models, sharpening your ability to turn messy inputs into reliable outputs. Integrate models into a cloud‐based platform using Python services and APIs, building strong production and software‐engineering skills. Ensure models perform reliably at scale, teaching you how to think about monitoring, performance, and long‐term maintainability. Collaborate closely with product managers and engineers, helping you translate business needs into technical solutions that actually get shipped. Contribute to how ML is used across the platform, growing your influence beyond individual models. What Will Help You Succeed You don't need to tick every box. What matters most is curiosity, problem‐solving, and the motivation to build ML solutions that last. You'll likely bring: A Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. Solid experience with Python and common machine‐learning libraries. Interest in time‐series, industrial, or sensor‐driven data. Experience moving models from notebooks into real‐world use. Comfort working with databases and collaborating in an agile team. Nice to have (not required): Experience with Docker, Kubernetes, or ML lifecycle tools. Exposure to cloud platforms or CI/CD practices. Any background in industrial or large‐scale data environments. What You'll Get in Return Hybrid working within the Flemish Region. A collaborative, international team that values learning and innovation. The opportunity to work with modern technologies on meaningful, long‐term projects. A competitive salary and benefits package. Clear growth opportunities as the team and platform continue to scale. Looking for a role that's technically challenging, career‐accelerating, and genuinely rewarding? Apply now and make this opportunity your perfect Christmas present.