Senior machine learning engineer.

We are seeking a Senior Machine Learning Engineer with deep expertise in time-series forecasting, weather modeling, and renewable energy prediction. The ideal candidate will combine strong applied ML knowledge with robust software engineering practices to design, deploy, and optimize forecasting pipelines that drive key business and operational decisions. You will work closely with data scientists, energy analysts, and software engineers to deliver high-accuracy, scalable, and explainable ML systems. The ideal candidate thrives in a test-driven, data-intensive, and fast pacing environment, and has a strong focus on model performance, interpretability, and maintainability.

Jouw rol

• Design and implement advanced ML models for forecasting weather conditions, renewable energy production, and energy consumption patterns.
• Collaborate with domain experts and data engineers to ensure high-quality datasets, robust feature engineering, and accurate labeling.
• Apply and extend state-of-the-art methods in time-series forecasting (e.g., Transformers, Graph Neural Networks, Spatio-Temporal models, probabilistic forecasting).
• Optimize models for latency, performance, and interpretability, particularly under high-frequency or large-scale data conditions.
• Collaborate cross-functionally to translate complex business and environmental requirements into actionable ML-driven insights.
• Ensure data privacy, model security, and compliance with applicable data standards and regulations Jouw profiel

• 5+ years of experience in applied Machine Learning or Data Science, with a strong focus on forecasting, modeling, or energy analytics.
• Advanced degree (MSc/PhD) in Computer Science, Applied Mathematics, Statistics, or a related field.
• Experience with numerical weather prediction (NWP) data or satellite-based weather feeds and/or timeseries based predictions.
• Proven expertise in time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems.
• Strong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent).
• Solid understanding of data engineering and ML infrastructure
• Experience deploying ML models to cloud-native environments (Kubernetes, Docker, AWS/GCP/Azure ML pipelines).
• Experience implementing test-driven development (TDD) and automated validation for ML models.
• Deep understanding of performance optimization (GPU acceleration, model pruning, quantization, distributed inference).
• Background in energy trading, renewable integration, or grid forecasting is a plus.
• Excellent communication skills in English (Dutch is a strong plus).

• Duration:6 months initially. Upon satisfactory performance, the contract will be immediately converted to a permanent position.
• Probation Period:Not applicable.
• Location:Utrecht (full-time office presence; no hybrid or remote work).
• Working Hours:38 hours per week plus 2 additional ADV leave hours.
• Holiday Allowance:8% of annual salary.
• Bonus Scheme:8% based on company performance and achievement of Balanz’s business objectives.2% based on personal goals agreed upon with your manager.
• Company Regulations:Will form part of the employment agreement; currently under development.
• Vacation Days:21 vacation days and 12 ADV days per calendar year, with full salary.
• Sick Leave:100% salary during the first 6 months; thereafter 80%.
• Pension Plan:Employer contribution: 8%Employee contribution: 4%
• Travel Costs:Public transport: fully reimbursed.Own transport: €0.23 per kilometer.