Senior AI/ML Engineer - MLOps & ML Platform

Our client, a renewable energy company scaling their data and AI capabilities to power the energy transition. They're looking for a Senior AI/ML Engineer to join the ML Engineering team, focused on MLOps and ML Platform work: turning data science models into reliable, production-grade services running forecasting, optimization, and automation systems.

What you'll do:

🔹 Design and maintain end-to-end ML pipelines: training, validation, deployment, monitoring

🔹 Productionise ML models for use cases like demand forecasting, asset performance prediction, and grid load optimization

🔹 Build and operate ML services using Airflow, Azure ML, and FastAPI

🔹 Automate deployment and lifecycle management via CI/CD (GitHub Actions, Azure DevOps)

🔹 Implement monitoring, alerting, and model drift detection (Azure Monitor, Grafana)

🔹 Manage infrastructure with Terraform, Docker, and AWS Fargate

🔹 Work closely with data scientists, engineers, and product teams

What you bring:

✅ 6-8 years in ML Engineering, MLOps, DevOps, or Data Engineering

✅ Strong Python skills: MLflow, Scikit-learn, PyTorch or similar

✅ Solid experience with Azure and AWS

✅ Comfortable with Docker, Kubernetes, and Infrastructure as Code (Terraform)

✅ Hands-on with CI/CD tooling (GitHub Actions, Azure DevOps)

✅ Established as an independent consultant/freelancer with your own legal entity, this is a B2B engagement

✅ Currently eligible to work in the EU/EEA without sponsorship

Tech stack: Python, SQL, Azure, AWS, MLflow, Airflow, Snowflake, Delta Lake, FastAPI, Docker, Terraform, GitHub Actions, Grafana

Nice to have: Experience in energy/utilities or another regulated infrastructure sector, time-series forecasting exposure.

Fully remote with occasional travel to our Utrecht HQ. Initial 6-month engagement, strong potential for renewal.