Senior Machine Learning Engineer

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

Why choose Eneco?

• Impact on the energy transition
  At Eneco, you’ll contribute directly to making the Netherlands more sustainable. Our ML platform empowers data scientists and business units to generate value faster and help customers use energy more intelligently.

• Startup mentality within a large organization
  You’ll be part of a rapidly growing digital department that combines the flexibility and drive of a scale-up with the impact and resources of an established company.

• Learning and development
  With a personal learning budget, internal knowledge sessions, and external training opportunities, you’ll always stay at the forefront of ML & MLOps.

What you’ll do

• 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

Is this about you?

• You hold a 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

You’ll be responsible for

• Co-defining and executing the roadmap (OKRs) for our ML platform
• Enabling self-service for data scientists: reducing operational overhead so they can focus on model development
• Ensuring a stable, secure, and cost-efficient Databricks environment
• Conducting quality and code reviews, and coaching colleagues
• Documenting and evangelizing platform standards and best practices across the organization

This is where you’ll work

You will work in Eneco’s new Tech department, in the ML Engineering discipline. Eneco has adopted a matrix organisational structure for our product portfolio. As a Senior ML Engineer, you will be embedded in one of our product teams or one of our technical platform teams. While your main focus will be to provide value for these products or platforms, you will also work together with fellow data professionals to build a community of practice around ML Engineering.

What we have to offer

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

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Hybrid working, at home or in the office

You work 40% at the office and 40% at home. The other day you decide what works best for you.

Work that works for you and the climate

If you decide on a career at Eneco, you are choosing ambition, growth and opportunities. You will have all the space you want to improve yourself and do your job the way that suits you best, which includes having a good work-life balance. You can work to a flexible schedule and work partly from home if your role allows it. That is how you can work on your own future and on the future of the world. After all, you and your 4,000 colleagues are committed to our mission: climate neutrality by 2035. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. Are you ready?