Energy Optimisation Lead

Energy Optimization Lead

We are working with a global enterprise who are in the process of building a virtual power plant to control all elements of renewable energy production. Your role would be take control of all elements of the VPP build. From a technical perspective this would include energy asset optimization, asset control, data flow loops. Non-technical stakeholder management, leadership and generally you will set the vision and execute optimization engineering for the team.

 

This is a high-level yet very hands-on role with the chance for the right person to influence the global scale of a VPP that is still within its infancy, creating a blueprint for future roll outs. Engineering teams are based in San Francisco, London & Amsterdam.

 

From your perspective we're looking for:

 

– Senior Data Scientists: Machine Learning, Optimization, Neural Networks, predictive modelling, supervised/unsupervised/deep learning

– Energy expertise: deep knowledge of building virtual power plants, renewable energy industry expert, energy optimization.

– Engineering: core capability within either Python or Golang or R or SQL, experience of working in a large and complex big data environments, Microservices, Docker, Pub-Sub messaging (Kafka), Kubernetes

 

Please apply today to find out more.

 

Richard Jackson

Director

Richard.jackson@oxygendigital.ai

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