AI/ML Senior Engineer- Azure ML, ML Ops and ML Platform development
Amsterdam, North Holland
Hybrid
Senior
Contract
Posted January 09, 2026
Tech Stack
microsoft-azure
airflow
apache-airflow
fastapi
github
github-actions
azure-devops
python
ml-flow
mlflow
scikit-learn
pytorch
docker
kubernetes
terraform
aws-fargate
snowflake
delta-lake
redis
grafana
azure-monitor
Job Description
AI/ML Senior Engineer- Azure ML, ML Ops and ML Platform development
My client is looking for
**AI/ML Senior Engineer,**
and I wanted to know whether this would be of interest to you or not?
**Position: AI/ML Senior Engineer**
**Location: Amsterdam, Netherlands (Hybrid)**
**Duration: 6+ months contract**
**Essential Skills:**
Were looking for an AI ML Senior Engineer to join our growing ML Engineering team.
**Your responsibilities**
- Develop and maintain ML pipelines for training, validation, deployment, and monitoring of models.
- Support scalable ML solutions across use cases like recommendations, forecasting, and automation.
- Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems.
- Automate model deployment workflows using CICD tools (e.g. GitHub Actions, Azure DevOps).
**Essential skills**
- Proven experience in ML Engineering, DevOps, or Data Engineering with exposure to ML lifecycle.
- Hands-on experience building or maintaining ML workflows or pipelines.
- Strong Python skills and experience with tools like MLflow, Scikit-learn, or PyTorch.
- Good understanding of containerisation (Docker) and orchestration (e.g. Kubernetes).
- Exposure to CICD tools (GitHub Actions, Azure DevOps) and infrastructure-as-code (Terraform).
**Technical Stack**
Python (primary), SQL, BashCloud Azure, AWSTools MLflow, Azure ML, Airflow, Docker, Fargate, FastAPIData Snowflake, Delta Lake, Redis, Azure Data LakeInfra Ops Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor
If you are interested in this position, please send me your CV ASAP for immediate consideration
or refer someone if this is not for you