Machine Learning Engineer

About the job

We are looking for a Machine Learning Engineer to help us explore and implement novel approaches to help mitigate climate change. You will be applying the latest developments in Machine Learning to reduce the effects of climate change, and helping turn viable approaches into real-world products.

In the short term, we are focusing on developing projects from solar nowcasting for electricity system operators, wind forecasting and solar penetration estimation. You will be working with large datasets including weather forecasts, satellite imagery and real-time electricity generation time-series. You will work with the entire Open Climate Fix team in delivering a product from data engineering, machine learning, validation and implementation. You will be part of the team building the solution yourself and have the opportunity to engage with open-source contributors.

You will, among other things:

• Be crucial in developing new models and evolving our current ML forecast models

• Run experiments using our models for specific client/projects

• Stay up-to-date with the latest machine learning research and integrate relevant advancements into our constantly evolving ML codebase

• Implement models in live environments and respond to improvements based on real-world running

• Work on architecting high-volume data pipelines and collecting the data with our data team

• Helping solve various energy problems

About You

• You have a passion for helping the world reduce carbon emissions 

• You have 2+ years of experience in developing deep learning models in industry or academia

• You have good intuitions about and experience in using 'real-world data', the ways it can go wrong and how to address them

• You have strong understanding and experience in using Python and Git, in particular pytorch

• You have enthusiasm for learning and ML experimenting

• You like to work with a cross-functional team, from research to back-end and front-end implementation

Beneficial skills

• Experience with modelling using electricity data is an advantage

• Experience in working with open source code and communities is an advantage

• Experience and interest in writing or talking about your work can be useful

Studies show that applicants from diverse and historically under-represented backgrounds are less likely to apply to a role unless they meet all of the hiring guidelines or qualifications. At OCF, we are looking for people who are genuinely passionate about developing climate solutions and actively encourage applicants from all backgrounds to apply. If you feel like you have the potential to do well in this role and your values align with our mission, we encourage you to apply, as you might just be the candidate for the job.

Location: London (Hybrid)

We are a hybrid organisation with a fantastic shared office space in central London. We work in a hybrid setting, with 2 team office days where most people attend, with the option to use the office more frequently. We also have monthly in-person days where the whole team attends in person.

Benefits

• £45,000 - £60,000 (based on experience and consideration of London weighting)

• Flexible Hours

• Autonomy in your work delivery

• 30 days annual leave (excluding UK public holidays)

• Private Healthcare Plan after successful completion of the probation period

• 7% Employer Pension Contribution

• Training & Development Budget