Using Machine Learning on Safety Reports - Game Changers - Supporting Sellafield's Nuclear Decommissioning Programme

Sellafield are seeking to innovate in the way they analyse Health, Safety and Environmental data to improve insight, trend analysis and early prediction of safety issues. The data which needs to be analysed includes safety observations, assurance activities, assurance action tracking information, accident reports and unsafe condition reports. Applications are invited for technological solutions to meet this challenge. The deadline for applications is Friday 24th January at 12 noon. Sellafield are exploring the use of Machine Learning (ML) to help analyse health, safety and environmental data to improve prediction of risk.