Solar ML Engineer - Forecasting & Energy Optimization

Vecta Ltd; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Vecta Ltd in Europe is on a mission to accelerate the energy transition. As an ML Engineer, you will build, train, and deploy models that predict solar generation, optimise energy storage, forecast demand, and help keep the grid balanced.

You will work with weather data, sensors, and market prices across Europe, design ML pipelines, and collaborate with engineers to deploy models into real-time energy management systems. We value shipping reliable solutions and a passion for climate impact.

Qualifications

• 2+ years of production ML experience.
• Strong Python skills with ML frameworks.
• Experience with time series forecasting.
• Experience with cloud platforms and MLOps.
• Interest in energy, climate, or sustainability.

Responsibilities

• Build and deploy ML models for solar forecasting and energy optimisation.
• Work with time series data from weather systems, sensors, and smart meters across Europe.
• Design and maintain ML pipelines—from data ingestion to training to production inference.
• Collaborate with engineers to integrate models into real-time energy management systems.
• Continuously improve model performance through experimentation and validation.
• Help shape the ML roadmap and identify new opportunities to apply AI across the business.

Skills

Python

ML frameworks

Time series forecasting

Cloud & MLOps

Energy/climate interest

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Vecta Ltd in Europe is on a mission to accelerate the energy transition. As an ML Engineer, you will build, train, and deploy models that predict solar generation, optimise energy storage, forecast demand, and help keep the grid balanced.

You will work with weather data, sensors, and market prices across Europe, design ML pipelines, and collaborate with engineers to deploy models into real-time energy management systems. We value shipping reliable solutions and a passion for climate impact.