Scientific Software Engineer (Python Data ML) London / WFH to £65k

Are you a data savvy Python Software Engineer looking for an opportunity to progress your career?

You could be joining a Tech for Good start-up that is using drones and AI based technology to create heat-maps of cities / homes for thermal imaging loss and capture complex data around this, with the aim to help reduce energy waste.

As a Scientific Software Engineer you will take a lead role in developing a quantitative algorithm to predict energy efficiency of components of existing buildings from thermal imagery including prototyping 3D dynamic thermal models to assess energy use and thermal performance using tools such as IES or EnergyPlus.

You'll develop and train predictive models and own the algorithm development lifecycle from design through to productionised code as part of a small, cross functional Agile team.

Location / WFH:

You'll join the team 2-3 days a week in the London office with flexibility to work from home the other days in a hybrid model.

About you:

You have strong Python backend development skills You have experience of working on complex, data heavy software with algorithm / quantitative development experience You have a good understanding of Machine Learning and ideally Predictive Neural Networks You have experience across the full software development lifecycle You are naturally curious and inquisitive, enjoy collaborative problem solving You have a good understanding of IaC and GCP You are degree educated in a relevant discipline, e.g. Physics, Mathematics, Thermal Dynamics, Geometry

What's in it for you:

Salary to £65k Share options Pension Flexible / hybrid working Training and career development