Time Series Machine Learning Engineer, tem

• You are driven by a desire to make a significant impact, eager to collaborate with diverse teams (both technical and non-technical) to achieve ambitious goals
• Possesses deep and proven expertise in time series forecasting, especially with the challenges and nuances of long-term (multi-month/year) predictive horizons
• You have a track record of successfully deploying robust, production-scale forecasting systems, particularly where accuracy and reliability are critical
• You think like an architect when designing and evaluating forecasting models, with a sharp focus on tackling concept drift, quantifying uncertainty, and mastering seasonality
• You are a natural technical mentor and leader, passionate about elevating the skills of fellow engineers and establishing best practices within the forecasting domain
• You thrive on the opportunity to build, innovate, and take ownership in a pioneering role, shaping the future of energy intelligence

Desirable

• As our first dedicated forecasting lead, you won't just be building models; you'll be architecting the intelligence that drives our disruptive platform, directly influencing how renewable energy is traded and valued
• Spearhead the development and deployment of sophisticated predictive models that forecast critical energy trends – from consumption and generation to it's underlying price
• Collaborate with a passionate team of product visionaries and engineering talents to bring Rosso, our groundbreaking platform, to life
• Establish foundational frameworks and standards for time series modeling across tem
• This is a chance to make an impact at a company where machine learning is at it's core. Every inference will directly impact everything from the prices to our customers, to our risk management to our commercial strategy.
• Act as a key technical mentor, guiding junior team members and spearheading the upskilling of our collective forecasting prowess (note: focus is on technical leadership, not direct line management)

• 1. Intro chat with Tim
• 2. 1 hour technical
• 3. 1 hour technical and fit