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Machine Learning Operations Engineer

Posted 30 Jan 2026
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Work experience
2 to 6 years
Full-time / part-time
Full-time
Job function
Salary
€4,547 - €6,496 per month
Degree level
Required languages
English (Fluent)
Dutch (Fluent)

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Ready for your next step in your career as a software engineer? We are building the next generation
ML Ops system which is essential to deliver on NN Life & Pensions' strategic ambition to become a truly data-driven company. Are you interested in joining our team and contributing to our joint success? Then, read on!

Machine Learning Operations Engineer

What you are going to do

You will play a critical role in the development and deployment of ML and AI systems. Together with your ML Ops colleagues you are responsible for our Data Science platform on Azure. You make sure the platform is reliable and secure, models can be hosted and monitored, model lineage and governance are in place, data connections and pipelines are in order and we can integrate seamlessly with platforms and applications of other teams. In short, enabling the data scientists to effortlessly release ML and AI products to service our customers best.

What we offer you

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

  • 13th month and holiday allowance are paid with your monthly salary
  • A modern pension administered by BeFrank
  • Plenty of training and learning opportunities
  • NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
  • Allowances for setting up your home office and for internet use

We work hybrid at NN. Together with your team, you decide where, how and when you work.

Who you are

A medior level candidate with a passion for programming and engineering, highly motivated to keep learning and improving his/her skills. You can work autonomously and can communicate well. You have a structured approach to problem solving and a ‘can learn’ attitude.

In addition, you have the following experience:

  • Proven experience in engineering with the Azure stack, with which you can build modular and testable platform components using Infra as Code. We use Bicep and PowerShell
  • Demonstratable programming, testing and debugging experience, in Python
  • Knowledge of and experience with GIT and CI/CD pipelines on Azure DevOps
  • Understanding of the ML/AI life cycle and what it means to bring an application to production
  • Experience in Databricks, MLFlow, FastAPI, Docker, security, data engineering, and ML system design earns you extra points

Within NN the main spoken language is Dutch. If you do not speak Dutch, we welcome you to our team, provided that you are willing to learn Dutch.

Who you will work with

You will be part of the Data & AI team within the CIO department. We are a growing team of specialists who share a passion for data and AI solutions, and there is plenty of room for personal growth and development. You will work closely with other IT, business, and staff departments to deliver AI solutions, supporting them to service our customers best.

If you join us, your employer will be NN Group, an organization that offers many opportunities. You will work within the Life & Pensions business unit.

This is a permanent position.

NN Group is an international financial services company, active in 10 countries, with a strong presence in a number of European countries and Japan. Our roots lie in the Netherlands, with a rich history that stretches back 175 years. With our 16,000 employees, NN provides retirement services, pensions, insurance, reinsurance and banking to approximately 20 million customers. NN Group includes Nationale-Nederlanden, ABN AMRO Insurance, Movir, AZL, BeFrank, OHRA and Woonnu.

Insurance
Den Haag
Active in 10 countries
16,000 employees
60% men - 40% women
Average age is 40 years