Machine Learning Engineer (E10)
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1-3 jaar, 3-5 jaar, > 5 jaar
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32 – 40 uur
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Digital & Tech
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€82.000 – €125.000
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You can apply until April 14th. After this date, we will carefully review the applications. (Pre-) redundant employees have first priority in this procedure.
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Work on a wide variety of topics in an end-to-end integrated energy company
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Bring machine learning models to production to create value and build and improve our MLOps infrastructure.
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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.
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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.
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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.
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Design, build, and maintain our Databricks-based ML platform: packages, notebook templates, CI/CD pipelines, and self-service tooling
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Collaborate with value streams and other departments: advise, train, and provide hands-on support to set up and productionize new ML models
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Set up and manage end-to-end MLOps workflows using tools like MLflow
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Implement cost-tracking and reporting dashboards for Databricks usage
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Monitor platform performance, scalability, and security—and continuously drive improvements
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Mentor junior colleagues and team members, helping define best practices and standards
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You hold a Master’s degree (or higher) in Computer Science, Artificial Intelligence, or a related field
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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
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Extensive (3+ years) hands-on experience with Databricks
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Excellent programming skills in Python and proficiency with SQL and PySpark
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Experience with cloud platforms, preferably Azure
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Deep knowledge of MLOps tooling: MLflow and CI/CD (Git)
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Strong communication skills in English; you can influence both technical and non-technical audiences
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A proactive, solution-oriented mindset and the ability to drive change in others
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Co-defining and executing the roadmap (OKRs) for our ML platform
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Enabling self-service for data scientists: reducing operational overhead so they can focus on model development
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Ensuring a stable, secure, and cost-efficient Databricks environment
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Conducting quality and code reviews, and coaching colleagues
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Documenting and evangelizing platform standards and best practices across the organization
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 an 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.
Bruto jaarsalaris tussen de €82.000 en €125.000
FlexBudget
Alle kans jezelf te ontwikkelen
Hybride werken, thuis of op kantoor
Stap 1
Je solliciteert
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Wij bekijken je sollicitatie zorgvuldig
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Wij nodigen je uit voor een 1e (online) gesprek
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Soms willen we je nog beter leren kennen en volgt er een online assessment en een 2e gesprek
Stap 5
Is er een match? Dan bellen we je met een passend aanbod. En dan… gefeliciteerd met je nieuwe baan!
Do you want to know more about this vacancy? Please send an email to enecorecruitment@eneco.com and we will get back to you as soon as possible.
