MLOps Engineer Utrecht • zetetys

Your next role | Data-powered solutions for a healthier world

Step into a role where your skills directly contribute to improving the nutrition and well-being of communities worldwide.

By combining real-time data, advanced technology, and innovative problem-solving, this team is redefining how food is produced, making it smarter and more sustainable. 

What once relied on guesswork now happens with precision. Your work will help create healthier herds, reduce waste, and support farmers in producing higher-quality food for millions globally. Already making an impact across continents, this mission is only just getting started, and you could be part of scaling it globally.

With more data, more models, and more opportunities to innovate, the time to join is now.

Your new role: MLOps Engineer

You’ll join a forward-thinking tech team developing machine learning systems that drive smarter, more sustainable decision-making in a vital global industry. From early problem detection to predictive insights that optimise processes, your work will help ensure healthier outcomes, reduced waste, and more efficient use of resources.

As an MLOps Engineer, you’ll manage data and ML pipelines end-to-end, scaling predictive models in the cloud, automating workflows, and ensuring systems are production-ready. Your work will help deliver rapid, actionable insights that improve efficiency, protect valuable assets, and support the well-being of communities worldwide. 

Why this role now?

The technology is proven and is already delivering measurable results. Now, the challenge is scale; building systems that can operate seamlessly, handle larger data volumes, and deliver insights faster than ever. This is your chance to take cutting-edge prototypes and turn them into robust, production-ready solutions that will have a tangible impact on a critical global industry.

What you’ll bring

• 3+ years of experience as a Data Engineer, Machine Learning Engineer, or MLOps Engineer

• Strong Python skills (object-oriented) and experience with PySpark

• Solid SQL knowledge for data manipulation and transformation

• Experience deploying ML models into cloud environments (ideally Azure)

• Familiarity with CI/CD, Infrastructure as Code, and source control (Git)

• A collaborative mindset and experience working in Agile teams

• Bonus if you’ve scaled ML pipelines to production before

• Fluency in spoken and written Dutch

What’s in it for you

• A role where your work has direct, visible impact on society’s well-being

• A strong focus on health, sustainability, and ethical technology use

• The chance to work with cutting-edge tools to solve real-world challenges

• A collaborative, supportive team that values growth and shared success

• The opportunity to help shape the future of food production and environmental care

Why it matters

This role is more than building pipelines, it’s building technology that protects resources, improves outcomes, and supports a healthier future for people and the planet. Your work will help reduce waste, increase efficiency, and drive smarter decision-making in an industry that affects millions of lives every day. The systems you create will be practical, trusted, and used globally, making your impact both immediate and lasting.

If you want your work to matter beyond the code, this is where you belong.

Ready to use your skills to feed the world smarter, faster, and more sustainably?

 Apply today and help shape the future of global nutrition.