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.
Balanz 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.
We 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.