Jobs in the Netherlands, in English.

MLOps Engineer

Hybrid in Utrecht·Full-time·Added over a year ago (last checked 12 Oct)

Our summary

Work mode
Hybrid, Utrecht
Contract
Permanent, full-time hours
Languages
Dutch

Skills

This job advert was originally written in Dutch.

Requirements

What we're looking for

  • HBO/WO in computer science, data, or similar

  • Strong skills in Python and SQL

  • Experience with MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI)

  • Experience with cloud and platform engineering (CI/CD, Kubernetes, Docker, Azure/AWS/GCP)

  • Knowledge of orchestration, monitoring, and IaC (Airflow, Prometheus, Terraform, Helm)

Interested?
Are you someone who prefers building over talking and gets energy from technology that truly works? Then apply via the button below:

Pay & benefits

What you'll get

  • Salary between €4,500 and €6,500

  • An immediate permanent contract

  • Lease car or mobility budget

  • Profit sharing

  • €3,000 training budget + 5 days

  • Pension (2/3 paid)

  • 26 vacation days

The role

At Dataworkz, we make sure machine learning and AI truly work. In production. At scale. With impact.

You will join an environment where substance comes first. Where you work with people who understand what they are talking about. No endless meetings or political games, but building, improving, and getting better together at what you do.

We are a specialized consultancy firm in data and AI. We work on scalable data platforms, production-ready ML environments, and intelligent systems that actually matter. For clients such as Essent, Alliander, ABN AMRO, Rabobank, DHL, and KLM.

Small enough to know each other. Strong enough to make a real difference.

The role

As an MLOps Engineer, you are the one who ensures that ideas do not get stuck in notebooks, but land in production.

You operate at the intersection of data science, ML engineering, and cloud. You build the foundation upon which AI solutions run and ensure that teams can rely on what they create.

You will be involved in:

  • building end-to-end ML platforms

  • setting up CI/CD for ML workloads

  • automating training, testing, and deployment

  • setting up monitoring and observability

  • building scalable cloud infrastructure

  • helping teams with tooling and standards

But at least as important: you help elevate the way of working around ML and AI.

Why Dataworkz

People who work with us choose us consciously.

Not for a title. Not for hierarchy. But for substance, autonomy, and craftsmanship.

You will enter an environment where:

  • you are taken seriously for what you can do

  • you get the freedom to make technical choices

  • you collaborate with strong, equal colleagues

  • sharing knowledge is a matter of course

  • you can grow towards expert, architect, or tech lead

No corporate nonsense. But high standards.

Who you are

You love technology. But not for the hype—for the building.

You want to understand how things work before you make them better. You get energy from complexity and from collaborating with people who are just as driven as you are.

You recognize yourself in this:

  • analytical and structured

  • technically strong and curious

  • independent, but seeks collaboration

  • pragmatic and result-oriented

  • communicatively skilled

WhatsApp

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