Senior Machine Learning Engineer

ph3Your role /h3 pWe 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. /p ul liDesign and implement advanced ML models for forecasting weather conditions, renewable energy production, and energy consumption patterns. /li liCollaborate with domain experts and data engineers to ensure high-quality datasets, robust feature engineering, and accurate labeling. /li liApply and extend state-of-the-art methods in time-series forecasting (e.g., Transformers, Graph Neural Networks, Spatio-Temporal models, probabilistic forecasting). /li liOptimize models for latency, performance, and interpretability, particularly under high-frequency or large-scale data conditions. /li liCollaborate cross-functionally to translate complex business and environmental requirements into actionable ML-driven insights. /li liEnsure data privacy, model security, and compliance with applicable data standards and regulations /li /ul h3Your profile /h3 ul li5+ years of experience in applied Machine Learning or Data Science, with a strong focus on forecasting, modeling, or energy analytics. /li liAdvanced degree (MSc/PhD) in Computer Science, Applied Mathematics, Statistics, or a related field. /li liExperience with numerical weather prediction (NWP) data or satellite-based weather feeds and/or timeseries based predictions. /li liProven expertise in time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems. /li liStrong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent). /li liSolid understanding of data engineering and ML infrastructure /li liExperience deploying ML models to cloud-native environments (Kubernetes, Docker, AWS/GCP/Azure ML pipelines). /li liExperience implementing test-driven development (TDD) and automated validation for ML models. /li liDeep understanding of performance optimization (GPU acceleration, model pruning, quantization, distributed inference). /li liBackground in energy trading, renewable integration, or grid forecasting is a plus. /li liExcellent communication skills in English (Dutch is a strong plus). /li /ul h3What we offer /h3 ul liDuration: ul li6 months initially. Upon satisfactory performance, the contract will be immediately converted to a permanent position. /li /ul /li liProbation Period: ul liNot applicable. /li /ul /li liLocation: ul liUtrecht (full-time office presence; no hybrid or remote work). /li /ul /li liWorking Hours: ul li38 hours per week plus 2 additional ADV leave hours. /li /ul /li liHoliday Allowance: ul li8% of annual salary. /li /ul /li liBonus Scheme: ul li8% based on company performance and achievement of Balanz’s business objectives. /li li2% based on personal goals agreed upon with your manager. /li /ul /li liCompany Regulations: ul liWill form part of the employment agreement; currently under development. /li /ul /li liVacation Days: ul li21 vacation days and 12 ADV days per calendar year, with full salary. /li /ul /li liSick Leave: ul li100% salary during the first 6 months; thereafter 80%. /li /ul /li liPension Plan: ul liEmployer contribution: 8% /li liEmployee contribution: 4% /li /ul /li liTravel Costs: ul liPublic transport: fully reimbursed. /li liOwn transport: €0.23 per kilometer. /li /ul /li /ul h3About us /h3 pBalanz is a next-generation energy trading company founded in 2025 with a clear ambition: to transform how renewable energy interacts with European power markets. Our mission is to empower wind, solar, and storage asset owners by giving them direct, intelligent access to energy markets through advanced technology and data-driven control systems. /p pWe operate as a licensed Balance Responsible Party (BRP) and will soon expand into Balancing and Congestion Service Provider (BSP/CSP) roles. This means we don’t just trade energy—we actively manage imbalances, optimize flexibility, and create new revenue streams for our partners. Our first market entry will be in the Netherlands in 2026, followed by rapid expansion across Europe. Our long-term vision is to connect thousands of renewable assets and energy suppliers, making renewable energy predictable, profitable, and fully integrated into the power system of the future. /p /p #J-18808-Ljbffr