Work on diverse projects within an integrated energy company, bringing machine learning models to life and enhancing MLOps infrastructure. Design and maintain a Databricks-based ML platform, collaborating with various departments to implement and support new ML models. You'll manage MLOps workflows, ensure platform efficiency, and mentor junior colleagues. Join the Tech department, contribute to sustainability, and foster a community of ML Engineering practice. Keep reading to see how you can shine in this role.

Over het bedrijf

Eneco

Directe werkgever•251 - 1000 medewerkers

•

Volledige vacaturetekst

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

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

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

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

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.

Salaris

€88.000 - €145.000

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