Machine Learning Engineer

Imagine seeing your machine‑learning models used every day by industrial teams around the world to prevent failures, optimise processes, and make smarter decisions. In this role, you won’t just experiment with data — you’ll turn ideas into real, production‑ready solutions that create measurable value.

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 grow their skills, work on meaningful problems, and help shape the future of an industrial analytics platform used globally.

Why This Role Is Worth Your Time

• Real‑world impact: Your models will support forecasting, anomaly detection, and predictive maintenance in industrial environments — helping customers avoid downtime and operate more efficiently.
• End‑to‑end ownership: You’ll see your work go all the way from raw data to production, giving you strong experience that accelerates your career as an applied ML engineer.
• Learn and grow: You’ll work alongside experienced data scientists and engineers, with structured learning opportunities and exposure to modern ML and cloud technologies.
• Influence the platform: Your ideas will matter. You’ll contribute to architectural decisions and help define new ML‑driven features.

What You’ll Be Doing Day to Day

You’ll focus on building practical, reliable machine‑learning solutions that solve real problems:

• Develop and deploy ML models for time‑series analysis, forecasting, anomaly detection, and predictive maintenance.
• Turn raw, complex data into usable features and production‑ready models.
• Integrate ML components into a cloud‑based platform using Python services and APIs.
• Make sure models are scalable, reliable, and performant once they’re live.
• Work closely with product managers, data scientists, and engineers to turn business needs into working solutions.
• Help shape how machine learning is used across the platform as it continues to grow.

What Will Help You Succeed

You don’t need to tick every box — what matters most is curiosity, problem‑solving, and a desire to build things that last.

You’ll likely have:

• A Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Solid experience working with Python and common ML tools.
• An interest in working with time‑series or industrial data.
• Experience taking models beyond notebooks and into real‑world use.
• Comfort working with databases and collaborating in an agile team.

Nice to have (but not required):

• Experience with tools like 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 chance to work with modern technologies on meaningful, long‑term projects.
• A competitive salary and benefits package.
• Clear opportunities for professional growth as the platform and team scale.

🎄 Looking for a role that’s both technically challenging and genuinely rewarding? Apply now and make this opportunity your perfect Christmas present.