Jobs in the Netherlands, in English.
32,000+ live jobsSenior MLOps Engineer
Hybrid in Utrecht·Full-time·Added 4 months ago (last checked 26 Oct)
28 open roles
Our summary
- Work mode
- Hybrid, Utrecht
- Contract
- Permanent, full-time hours
- Languages
- Dutch
- Experience
- 5+ years
Skills
Nice to have
This job advert was originally written in Dutch.
Requirements
What we're looking for
Completed Master's in Data Science, Computer Science, or similar
Minimum 5 years of experience with MLOps, Data Engineering, or ML production environments
In-depth knowledge of ML architectures, pipelines, and deployment strategies
Experience with containerization and orchestration (Docker, Kubernetes)
Experience with CI/CD tooling applied to ML (GitHub Actions, GitLab CI/CD, Azure DevOps, or Jenkins)
Experience with monitoring and observability, including model drift and data quality
Familiarity with orchestration tools such as MLflow, Kubeflow Pipelines, Airflow, or Prefect
Knowledge of performance optimization such as distributed training, GPU scaling, and model compression
Experience with cloud platforms (Azure, AWS) and ML services such as Azure ML or SageMaker
Familiarity with data platforms such as Databricks, Snowflake, or Dataiku
Experience with Infrastructure as Code (Terraform, ARM, or Bicep)
Strong Python skills and experience with PyTorch or TensorFlow
Basic knowledge of data engineering (ETL/ELT, streaming, Spark)
Understanding of security, privacy, and compliance within AI applications
You can explain complex technical choices clearly to business and stakeholders
Entrepreneurial mindset focused on quality, continuity, and customer value
Pay & benefits
What you'll get
Permanent contract for 32 to 40 hours per week
27 vacation days and 4 study days per year
€3,600 personal development budget per year
Mobility scheme with a lease car or public transport subscription
Work-from-home opportunities and flexible working hours
Good pension scheme and supplementary insurance
Open culture with lots of knowledge sharing
Growth opportunities in the Netherlands and internationally (11,000+ colleagues in Europe)
The role
From experiment to production. From model to scale.
Are you an MLOps Engineer who ensures that machine learning does not get stranded in notebooks, but runs reliably in production?
Do you want to help organizations make AI sustainable, scalable, and manageable within sectors such as banking, insurance, energy, and e-commerce?
At adesso, we are looking for a Senior MLOps Engineer who combines technical expertise, oversight, and ownership.
What you'll do
As a Senior MLOps Engineer, you will lead trajectories in which machine learning models are converted into robust production solutions. You design and build ML architectures, pipelines, and CI/CD processes that support the full lifecycle trajectory: from training and deployment to monitoring and optimization.
You understand how cloud platforms, data infrastructure, and AI converge and know how to translate this into solutions that work in practice. With your technical depth and communicative strength, you help customers move forward and contribute to the further development of our MLOps propositions.
Leading and realizing MLOps projects with a focus on scalability and reliability
Designing and implementing ML architectures and pipelines for training, deployment, inference, and monitoring
Setting up and optimizing CI/CD processes for machine learning
Automating ML workflows on cloud and data platforms such as Azure, AWS, Databricks, Snowflake, and Dataiku
Monitoring and optimizing model performance, costs, and stability in production
Coaching colleagues and sharing best practices
Contributing to the development of MLOps services, propositions, and sustainable customer relationships
About adesso Netherlands
In their own words
About the company & team
At adesso Netherlands, you will work in a compact and growing Data & AI team. We combine customer projects with product development: from scalable ML infrastructure to reusable MLOps building blocks.
We work pragmatically and result-oriented. No heavy hierarchy, but short lines, ownership, and room to improve.
ONEadesso – stronger together
Hands-on – pragmatic and solution-oriented
Straightforward – open and clear
Open-minded – room for differences and ideas
Ready for your next step?
Are you a Senior MLOps Engineer who wants to make AI solutions scalable and reliable in production? Then we would love to meet you.
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