Senior Machine Learning Engineer

Details

Work on a wide variety of topics in an end-to-end integrated energy company. Bring machine learning models to production to create value and build and improve our MLOps infrastructure. At Eneco, you’ll contribute directly to making the Netherlands more sustainable.

Responsibilities

• 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; conduct quality and code reviews and help define best practices and standards.
• Co-define and execute the roadmap (OKRs) for the ML platform; enable self-service for data scientists and reduce operational overhead.
• Ensure a stable, secure, and cost-efficient Databricks environment; document and evangelize platform standards across the organisation.

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; ability to influence both technical and non-technical audiences.
• A proactive, solution-oriented mindset and the ability to drive change in others.

Where you’ll work

You will work in Eneco’s new Tech department, in the ML Engineering discipline. As a Senior ML Engineer, you will be embedded in one of our product teams or technical platform teams and will work with fellow data professionals to build a community of practice around ML Engineering.

Benefits

• Gross annual salary between €88.000 and €145.000 (including FlexBudget, 8% holiday allowance; depending on role, bonus or collective profit sharing).
• FlexBudget (can be paid out, used to buy extra holiday days, or saved).
• Personal and professional growth: personal learning budget, internal knowledge sessions, and external training opportunities.
• Hybrid working: typically 40% at the office and 40% at home; the remaining day you decide what works best for you.

Application & Contact

If you want to know more about this vacancy, send an email to [email protected]. For questions about the application procedure contact Venetia de Wit (+31615850813).