Senior MLOps Engineer Rotterdam

Sytac BV; Rotterdam; Hybrid; EUR 83,000 - 120,000; Full time

Job summary

Sytac BV is seeking a Senior MLOps Engineer to join Rotterdam-based initiatives building a modern MLOps platform on Azure Databricks. You will design, implement, and scale automated ML pipelines and deployment workflows to enable faster productionization of data science models.

You will lead the technical direction, share knowledge with the team, and help establish durable MLOps practices across the organization. The position is a 40-hour-week engagement with potential extension.

Qualifications

• 5+ years of professional experience in machine learning product development within an MLOps context from data prep and model training to deployment and monitoring.
• Excellent Python skills and solid software design principles (OOP, design patterns).
• Demonstrable experience building and maintaining an MLOps or data platform, ideally in Azure, and preferably with Databricks.

Responsibilities

• Design, build, and improve the MLOps infrastructure.
• Develop and roll out the internal MLOps platform: automated pipelines, model registration, and deployment workflows in Azure Databricks using MLflow.
• Introduce CI/CD best practices for machine learning (via Azure DevOps) and ensure versioning of code, models, and data.
• Coach and transfer knowledge to the existing engineers, making the team self-sufficient.

Skills

Tech lead

Python

MLOps

Team guidance

OOP

Tools

Azure Databricks

MLflow

Apache Airflow

Azure DevOps

Terraform

Apache Spark

Job description

The energy transition is in full motion, and data plays an essential role in enabling it. Our client manages vast amounts of data and is experiencing rapid growth in the number of data science use cases. To fully support their data scientists, they are building a modern MLOps platform within Azure. A new MLOps environment (based on Azure Databricks) has recently been set up, and further expansion is underway. To strengthen their MLOps capability and support ongoing use cases, our client is seeking temporary reinforcement in the form of a Senior MLOps Engineer.

In this role, you will bring your expertise to design, build, and improve the MLOps infrastructure. Your initial focus will be on developing and rolling out the internal MLOps platform: setting up automated pipelines, model registration, and deployment workflows in Azure Databricks, including the use of MLflow for model management. You will ensure that data science models can be deployed to production more efficiently and reliably. Examples include large-scale time-series forecasting workflows running on Databricks Jobs with MLflow, scheduled via Apache Airflow; you ensure that these pipelines run smoothly. You will also introduce structure and best practices for CI/CD in machine learning (via Azure DevOps) to ensure proper versioning of code, models, and data.

As the assignment progresses, your focus will shift toward knowledge transfer and coaching the existing engineers. You help the team grow, mature, and become self-sufficient, ensuring that the improvements you introduce are embedded for the long term. You leave the team stronger than you found it.

Requirements

Candidate is available from 05/01/2026 to 04/01/2027 for 40 hours per week, with possible extension

Experience as a tech lead, capable of guiding and enabling a team

Experience designing and improving MLOps infrastructure within a large, complex organization

At least 5 years of professional experience in machine learning product development within an MLOps context from data preparation and model training to deployment and monitoring

Excellent Python skills and solid software design principles (OOP, design patterns)

Demonstrable experience building and maintaining an MLOps or data platform, ideally in Azure, and preferably with Databricks

Understanding of what it takes to deploy ML solutions at scale reliably and securely

Knowledge of Terraform or Infrastructure-as-Code

Experience with the current tech stack is a plus: Apache Spark, Azure Databricks, MLflow, Apache Airflow, Azure DevOps, data lineage / versioning

About Sytac:

At Sytac, we’re on a mission to become the leading name in digital solutions. We aim to help Dutch companies stay ahead with the latest technology. We’re not just another IT company; we’re a lively team of tech enthusiasts dedicated to pushing the boundaries of what’s possible. Our success comes from our amazing team-people who love technology and are dedicated to being the best in everything we do.

Our goal is to be recognized as one of the top 10 tech partners and one of the top 25 employers for tech professionals. Join us as we work to make a real difference in the world of technology!

If you’re excited about leveraging your AI expertise to drive innovation and make a real impact, we’d love to hear from you!