Machine Learning Engineer

Open Climate Fix; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Salary £40,000 - £60,000

Flexible hours

30 days annual leave

Private healthcare

Global travel insurance

7% Employer Pension Contribution

Generous parental leave

Work from abroad allowance

Job summary

A climate technology organization is seeking a Machine Learning Engineer at the mid or junior level to develop innovative solutions for climate change. The role requires experience in deep learning and Python, addressing real-world data challenges. You will collaborate with cross-functional teams and contribute to impactful projects, working in a hybrid setting based in London. If you're passionate about reducing carbon emissions and have the skills to back that up, this opportunity could be yours.

Qualifications

• 1-4 years of experience in developing deep learning models.
• Experience with large datasets and real-world data handling.
• Passion for climate change mitigation.

Responsibilities

• Develop and train new machine learning models.
• Run experiments using current models for specific projects.
• Architect high-volume data pipelines.

Skills

Deep learning model development

Python programming

Git

Real-world data handling

Machine learning experimentation

Education

Bachelor's degree in Computer Science or related field

Postgraduate degree in a relevant area

Tools

PyTorch

Job description

We are looking for a Machine Learning Engineer (Mid or Junior level) 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 as well as the opportunity to engage with open‑source contributors.

Roles and Responsibilities

You will, among other things:

• Be crucial in developing/training new models and evolving our current ML forecast models.
• Run experiments using our models for specific client/projects.
• Keep up to date with the latest ML research and implement them in our ML code base.
• 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 sector problems.

About You

• You have a passion for helping the world reduce carbon emissions.
• You have 1-4 years of experience in developing deep learning models in industry or postgraduate 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.

Educational Requirements

• An undergraduate degree in a relevant subject such as Computer Science, Machine Learning, Data Science, Mathematics, Physics, Engineering, or a related quantitative field.
• A postgraduate degree (Master’s, PhD) in a relevant area would be beneficial, but is not required.
• Equivalent practical experience, research, or industry work is welcomed in place of formal qualifications.

Beneficial Skills (Nice to Have)

• Experience with modelling using electricity/weather 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.

We know that people from diverse and historically under‑represented backgrounds may be less likely to apply unless they meet every requirement listed. At Open Climate Fix, we care most about your passion for tackling climate change and your potential to succeed in the role. If this position excites you and your values align with our mission, we strongly encourage you to apply, even if you don’t meet every qualification. You might be exactly who we’re looking for.

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, with the option to use the office more frequently. We also have monthly in‑person days where the whole team attends in person.

The role does not include visa sponsorship (right to work in UK required).

Benefits

• Salary £40,000 - £60,000 (based on experience)
• Flexible hours around core team working patterns
• 30 days annual leave (plus UK public holidays)
• Private healthcare (post probation period)
• Global travel insurance (post probation period)
• 7% Employer Pension Contribution
• Training & Development budget
• Generous gender‑neutral parental leave
• Working from abroad allowance with up to 4 weeks (timezone UK +/- 3 hours) or 2 weeks from anywhere in the world

About us

At Open Climate Fix, we're on a mission to tackle climate change head‑on by helping slash carbon emissions faster than ever before. We're a passionate team dedicated to building cutting‑edge technology that makes a real difference. Our first focus is on solar forecasting, creating the world’s most accurate and reliable forecasting system for solar electricity generation. This means smarter, cleaner energy for everyone. Alongside our solar generation forecast, we also work on a number of pioneering innovation projects to help grow our business and expand our mission.

The organisation was founded by Dan Travers and Jack Kelly, two climate and tech enthusiasts who saw the urgent need for better tools to accelerate the clean energy transition. Jack previously served as a Research Engineer at Google DeepMind, where he used machine learning to predict wind power, while Dan brings over 20 years of experience in energy markets and fintech. Together, their vision is to harness the power of data and collaboration to create game‑changing solutions to help decarbonise the energy industry.

Our team is a unique blend of great minds and even greater personalities. We bring together deep expertise from the worlds of deep learning, energy markets, commercial strategy, and design, creating a melting pot of experience that drives our innovation. Beyond the data and the code, we’re a group of people who genuinely enjoy working together, usually fuelled by a shared love for great coffee and a slight obsession with pets.

As we grow, we are evolving our model to maximise our impact. While our roots are firmly planted as a non‑profit dedicated to the public good, we are now expanding into commercial solutions for the industry. This hybrid approach allows us to balance our mission‑driven heart with a sustainable commercial arm, ensuring our technology reaches the global scale needed to truly move the needle on climate change.

You’ll be joining a tight‑knit crew of innovators, scientists, and engineers who believe that saving the planet can be both serious and seriously fun. We’re backed by a mix of commercial partnerships and innovation funding from heavy hitters like the National Grid Electricity System Operator, Innovate UK, and the McGovern Foundation, which means we have the support and resources to make big waves.

If you’re excited by the idea of working at the intersection of technology, climate action, and community, this is the place for you. Join us, and be part of something cool, impactful, and truly global.

Apply for the job

We are reviewing applications on a rolling basis, so we encourage you to apply as soon as possible!