6 beste vacatures voor de functie van program manager in culemborg, ge (nieuwe medewerkers gezocht)

MLOps Engineer
Koninklijk Nederlands Meteorologisch Instituut —De Bilt
- € 4.024 - € 6.110 per maand
- Parttime
- Hybride werken
- Informatica
- DevOps
- Onderzoek
- Taaltraining aangeboden
11 uur
RPA Developer
Mediq —De Meern
- € 3.600 - € 5.200 per maand
- Fulltime
- Hybride werken
- Informatica
- Engels
- Master
- Reiskostenvergoeding
1 dag
IT Operations Engineer
SurePay —Utrecht
- Hybride werken
- Google Suite
- AWS
- AI
- Budget voor professionele ontwikkeling
Snel solliciteren
5 dagen
Microsoft Dynamics Consultant/Developer
IG&H —Utrecht
- Online sollicitatie
- Hybride werken
- Azure
- Master
- JavaScript
Snel solliciteren
Technical Application Engineer
Keylane —Utrecht
- € 47.000 - € 54.000 per jaar
- Fulltime
- Hybride werken
- Oracle
- Kantoor
- Windows
- Reiskostenvergoeding
Snel solliciteren
Microsoft 365 Engineer
Keylane —Utrecht
- € 4.200 - € 7.000 per maand
- Fulltime
- Hybride werken
- Management
- Informatica
- Kantoor
- Reiskostenvergoeding
Snel solliciteren

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MLOps Engineer

Koninklijk Nederlands Meteorologisch Instituut -
De Bilt

Nu solliciteren

Vacaturegegevens

Parttime | Fulltime | Bepaalde tijd
€ 4.024 - € 6.110 per maand
11 uur geleden

Secundaire arbeidsvoorwaarden

Pensioen
Taaltraining aangeboden
Bedrijfslaptop

Kwalificaties

CI/CD
Informatica
DevOps
Git
Onderzoek
Bachelor
Agile
AI
Python

Volledige vacaturetekst

De Bilt

Hbo
32 - 36 uur
Schaal 11 / €4.024 - €6.110 (bruto)
ICT

Solliciteer voor 27 juni 2026

Dit ga je doen

Are you ready to use your MLOps expertise to help us unlock the power of ML models and bring them from research into operational use? Join, and help shape, the newly established Intelligent Modelling Lab for Weather, Climate and Water (iML-WKW).

How you contribute
As an MLOps Engineer, you ensure AI/ML models are production-ready, scalable, and reliable. You help translate research into operational value and contribute to systems that support early warning capabilities and broader societal impact. You will be part of the MLOps team responsible for designing, building, and maintaining a machine learning platform. You help bring models from research into operations and ensure they run reliably in production environments.

In this role, you focus on the operational side of the Research-to-Operations (R2O) cycle, building scalable infrastructure, automation, and monitoring.

We are expanding our newly formed MLOps team, and you will be part of establishing the team. You will design and optimize pipelines that enable machine learning models to be trained, tested, and deployed efficiently, while meeting the operational standards required for national decision-making systems.

The goal is to enable faster, more scalable, more reliable secure data-driven modeling infrastructure models for weather forecasting, water management, and climate adaptation. By combining advances in artificial intelligence, high-performance computing, and proven physics-based models, iML-WKW strengthens the Netherlands’ ability to anticipate and respond to extreme weather, water risks, and long-term climate change.

Your activities
You will work at the intersection of machine learning, DevOps, and data engineering. As part of a newly assembled team spanning Deltares, KNMI and Rijkswaterstaat, you will play a key role in shaping the infrastructure for machine learning pipelines. You bring developers, scientists and users together, align technical efforts, and help lay the foundation for a robust and reproducible ML environment. You will help researchers adopt reproducible, operational ways of working by shaping the guidelines, processes and practices that make the transition from research to operations faster, smoother and more reliable.

Your team
iML-WKW is a joint initiative between Deltares, KNMI, and Rijkswaterstaat. The focus of the team is on developing a robust, open, and future-proof digital infrastructure for next-generation models. You will be one of the 8 team members in this newly formed team within Deltares and KNMI. You will work in an agile framework with Matthijs (Deltares) as your Scrummaster and Joost (KNMI) as your product owner.

Dit krijg je

Schaal 11
€4.024 - €6.110 (bruto)
Arbeidsovereenkomst voor bepaalde tijd
36 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’s degree in Computer Science,, or a related field and at least 2 years of relevant work experience in an agile environment
3+ years in MLOps, or 3+ years in data/software engineering
experience with Python development and maintaining production-grade Python applications
experience with software engineering best practices such as version control/git, CI/CD, automated testing, and dependency management
experience building AI/ML pipelines and integrating ML libraries into production-grade systems
experience designing and developing data-driven systems and scalable infrastructure
experience working with machine learning libraries

Nice to have

experience with cloud and/or on-premise environments
experience with MLflow
experience in a research-intensive or knowledge-driven environment

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 MLOps team is a cooperation between Deltares, KNMI and Rijkswaterstaat. Deltares and KNMI are hiring multiple positions at each institute.

The first selection interviews will take place in the week of 13th July at our KNMI office in De Bilt .
Both KNMI and Deltares will conduct interviews in the same period.
The job interviews will be done by a combination of people from KNMI and Deltares.
By applying via Deltares, the employment arrangements for Deltares will apply. If you are interested to start in this team via Deltares please check their vacancy.
CVs can be shared between institutes. If you apply for both, please let us know if you have preference.

General information

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

Kirien Whan

+31 6 41351595

Meer informatie over de sollicitatieprocedure

Joseph Otto

+31 6 45089675

Nu solliciteren

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