Senior Machine Learning Engineer

at Eneco
📍 Rotterdam, Netherlands
EUR 88,000-145,000 per year
SENIOR
✅ Hybrid

🕙 32-40 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Python @ 6 SQL @ 6 CI/CD @ 4 Machine Learning @ 4 MLOps @ 4 Data Science @ 7 Azure @ 4 Communication @ 7 Data Engineering @ 7 Git @ 7 MLFlow @ 4 Databricks @ 4 Reporting @ 4

Details

Work on a wide variety of topics in an end-to-end integrated energy company.

Responsibilities

  • Bring machine learning models to production to create value and build and improve our MLOps infrastructure.
  • Design, build, and maintain our Databricks-based ML platform: packages, notebook templates, CI/CD pipelines, and self-service tooling.
  • Collaborate with value streams and other departments: advise, train, and provide hands-on support to set up and productionize new ML models.
  • Set up and manage end-to-end MLOps workflows using tools like MLflow.
  • Implement cost-tracking and reporting dashboards for Databricks usage.
  • Monitor platform performance, scalability, and security—and continuously drive improvements.
  • Mentor junior colleagues and team members, helping define best practices and standards.

Requirements

  • Master’s degree (or higher) in Computer Science, Artificial Intelligence, or a related field.
  • At least 5 years of relevant experience as an ML Engineer or Data Engineer with a strong Data Science affinity in a data-driven environment.
  • Extensive (3+ years) hands-on experience with Databricks.
  • Excellent programming skills in Python and proficiency with SQL and PySpark.
  • Experience with cloud platforms, preferably Azure.
  • Deep knowledge of MLOps tooling: MLflow and CI/CD (Git).
  • Strong communication skills in English; you can influence both technical and non-technical audiences.
  • A proactive, solution-oriented mindset and the ability to drive change in others.

Benefits

  • Gross annual salary between €88.000 and €145.000, including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
  • FlexBudget that can be used to buy extra holiday days or saved up for something special.
  • Personal and professional growth with support for training and development.
  • Hybrid working model with flexibility to work from home and at the office.

Location

  • You will work in Eneco’s new Tech department, in the ML Engineering discipline, embedded in one of our product teams or technical platform teams.