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De Bilt Hbo 32 - 36 uur Schaal 10 / €3.404 - €5.389 (bruto) Development en testing Solliciteer voor 22 mei 2026 Dit g...

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Selected role

MLOps Engineer

KNMI De Bilt, UT, NL

Senior Full-time

De Bilt

Hbo
32 - 36 uur
Schaal 10 / €3.404 - €5.389 (bruto)
Development en testing

Solliciteer voor 22 mei 2026

Dit ga je doen

Do you want to work at the forefront of next generation weather forecasting? At the KNMI, you contribute directly to high quality and reliable weather predictions and impact models that are essential for a safe and livable society. Rapid developments in artificial intelligence and machine learning (AI/ML) are fundamentally changing how weather forecasts are created. The KNMI is internationally leading in AI/ML research and is now moving these innovations into operational use. To accelerate this transition, we are looking for an MLOps engineer who will help bring research into production and further develop a scalable machine learning platform. Want to build technology that truly makes an impact? Apply now.

How you contribute

You ensure that AI/ML models are production ready, scalable and reliable. You help translate research into operational value and contribute to the development of systems that support early warning capabilities and societal impact. As an MLOps engineer, you will be part of the MLOps team responsible for designing, building and maintaining the machine learning platform of the KNMI. You play a key role in bringing models from research to operations and ensuring they run reliably in production environments. Within this role, you focus on the operational side of the R2O cycle and work on scalable infrastructure, automation and monitoring.

Your activities

design, build and maintain end to end AI/ML pipelines from data ingestion and training to deployment and monitoring
bring AI/ML models from advanced research stages into operational environments
build and maintain CI/CD pipelines for AI/ML workflows
design and improve infrastructure for scalable and reliable model execution
implement monitoring, logging and validation for model performance and reproducibility
collaborate closely with AI/ML researchers, engineers, data scientists and stakeholders across product chains
contribute to improving ways of working, automation and platform maturity

Your team

You will join the MLOps team within the department R&D Observations and Data Technology department. The team focuses on building a reliable and scalable platform for training and inference of complex machine learning models. You will work in a multidisciplinary environment with software engineers, data specialists, AI/ML scientists and domain experts. The department consists of around 40 professionals working in agile teams with a strong DevOps mindset. The working environment is Linux based, with a strong preference for open source and open standards. The team is international and diverse. English is the primary working language.

Dit krijg je

Schaal 10

€3.404 - €5.389 (bruto)

Arbeidsovereenkomst voor bepaalde tijd met uitzicht op onbepaalde tijd
12 maanden
32 - 36 uur
Het salaris is gebaseerd op een werkweek van 36 uur.

Dit bieden we nog meer

At our organization, you’ll work on meaningful projects that make a real impact in the Netherlands. In a workplace that values your professional growth and recognizes your contributions. Our benefits reflect that commitment.

Core benefits that provide security:

144 hours of annual leave per year (based on a 36-hour work week)
full public transport reimbursement or a mileage allowance of € 0,07 or € 0,21 per km (conditions apply)
mobile phone and laptop
€ 750 budget for setting up your home workspace, plus a daily homeworking allowance of € 2,45
pension scheme through ABP

A supportive environment that encourages growth:

hybrid working options tailored to your role, in consultation with your manager
personal development opportunities, training and career coaching

Flexible benefits designed around your life:

Individual Choice Budget (IKB): use this budget (the amount is 16.5% of your salary) for options such as repaying student loans, purchasing a (electric) bike with accessories, company fitness, making your home more sustainable, or other tax-friendly purposes
flexible leave arrangements , including care leave, parental leave, adoption leave, and foster care leave
our program provides support for visas and related matters, and language training (it does not include accommodation)

You can find the full Dutch government collective labor agreement (CAO Rijk) here.

Dit vragen wij

bachelor degree in computer science, data science or similar
2+ years experience in MLOps or 3+ years in data/backend engineering
experience developing and maintaining production-grade Python applications
experience with software engineering practices such as version control, CI/CD, automated testing and dependency management
experience with building AI/ML pipelines and integrating ML libraries into operational/production-grade products
experience with designing and developing data driven systems

Nice to have:

experience working in agile teams
experience with cloud environments, preferably AWS
experience with CI/CD, CloudFormation, MLflow
experience in a knowledge intensive or research environment
experience with stakeholder management

Hier kom je te werken

Over Koninklijk Nederlands Meteorologisch Instituut

The weather is unpredictable, the ground moves, and the climate is changing. To ensure our safety and prosperity, we need to understand the risks and opportunities this presents and how best to prepare. The Royal Netherlands Meteorological Institute (KNMI) provides that knowledge. As the national center of expertise and data for weather, climate, and seismology, KNMI is reliable, independent, and focused on what the Netherlands needs: a safe society that is prepared for the impact of weather, climate change, and seismic activity.

Driven by our core values - Development, Collaboration, and Relevance - we pursue our ambitions both within and beyond KNMI, nationally and internationally. We continuously develop our knowledge and skills, and work together as one KNMI to make a meaningful difference for society.

Talent as our foundation, diversity as our strength

KNMI is an inclusive organization. One that creates space for everyone and leverages the diversity of its people to achieve better results for the Netherlands. Being inclusive means that everyone feels engaged and valued: not in spite of, but because of our differences.

KNMI is part of the Ministry of Infrastructure and Water Management

The Ministry of Infrastructure and Water Management (IenW) is committed to a safe, accessible, and liveable Netherlands. It works to ensure strong connections via road, rail, waterways, and air. IenW also protects against flooding, monitors the quality of our air, water, and soil, and contributes to the transition toward a circular economy.

Bijzonderheden

The selection interviews will take place at our KNMI office in De Bilt.
Your official workplace is De Bilt.
At the Royal Netherlands Meteorological Institute (KNMI), we actively encourage hybrid working. In consultation with your manager and colleagues, you can work from home or at the office, depending on the nature of your role.
If we receive sufficient suitable applications, the vacancy may close earlier than the stated deadline.
An (online) pre-selection test or assessment may be part of the recruitment process.
Completing a case assignment and undergoing (online) screening, such as through databases, may also be included.
Reference checks may be conducted as well.
If you have questions about the application process, feel free to contact our Recruitment Advisor or visit our website for more information.

We do not respond to acquisition in response to this vacancy.

Over de functiegroep Senior Medewerker Iv

Door het Functiegebouw Rijk worden medewerkers en leidinggevenden geholpen bij het maken van resultaat- en ontwikkelafspraken in functioneringsgesprekken en krijgt men inzicht in de loopbaanmogelijkheden binnen de Rijksoverheid.

Stel gerust je vraag

Meer informatie over deze vacature

John van de Vegte

31 6 11582372

Meer informatie over de sollicitatieprocedure

Joseph Otto

31 6 45089675

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