Energy Management – ML Engineer

You will work as part of a team responsible for developing production ready solutions in control, steering and optimisation of flex assets; and in bringing these solutions to successful business implementation and customer operation.

In broad terms this position is responsible for core feature maintenance, monitoring and development of predictive algorithms, as well as data modelling, feature testing and performance evaluation, dashboard creations, data cleaning and insights generations.

Your primary responsibilities are to;

• Maintain & develop architecture for processing data in Azure data pipelines via Azure Databricks; Develop models & versioning using ML.
• Manage & deploy Azure Databricks inference notebooks and infrastructure for continuous retraining of machine learning models.
• Maintain & backup Databricks workspace and associated Data Lake environment.
• Second line support i.e. monitoring of forecast models and alarm/ dashboard development & integration into existing Platform Dashboards.  
• Report & manage workload via Azure DevOps environment.
• Monitoring of operational costs, performance and computational requirements via Azure, to ensure a scalable and reliable system.