Are you passionate about physics and thermodynamics? Want to leverage technology to address urgent global climate challenges? If so, this is the ideal opportunity to make a real impact in a forward-thinking early-stage start-up that is leading the charge in sustainable building practices, leveraging state-of-the-art technology to optimise energy efficiency and decarbonisation for a greener tomorrow.

What will you be doing?

You’ll take ownership of the end-to-end development and implementation of algorithms and physics that power their core platform, from designing to coding and deployment. Maintaining their data processing pipelines, integrating external data sources, and crafting intuitive interfaces that make complex information accessible to their clients – thus writing clean, efficient, and maintainable code is key.

You’ll be joining a team of 7, your input will be crucial in design and architecture discussions, ensuring their solutions are scalable, reliable, and performant. You'll need to be willing to develop and maintain a deep understanding of their business goals and objectives, ensuring alignment with your work and their vision.

The following are some nice to haves but not essential:

3D geometry, computer graphics and 3D computer vision techniques.
ML methods and building physics.
Experience with tools such as IES or EnergyPlus.

You'll get a salary of up to £65,000 for this role (with some movement here for the ideal candidate). You’ll get 25 days of paid time off each year, with a bonus week off between Christmas and New Year. You'll also get a 3% pension contribution, though they are looking to upgrade this upon securing more funding as well as issuing shares!

You'll be able to work on a hybrid working arrangement, with two days a week at their co-working space in London plus flexible working hours to suit your needs.

The Role

Given they’re a data company, there’s a strong emphasis on backend and algorithmic work. You’ll be diving into tasks like developing scalable algorithms for quantitative evaluation of thermal images, developing recommendation engines, 3D mesh manipulation, and thermodynamic simulation. You'll have at least 3 years of experience, ideally in Python however they are happy to consider other languages if you’ve tackled similar challenges.

You'll be a real problem solver, and have the ability to tackle complex challenges head-on. The role is focused on building some fairly simple algorithms before moving into heavy machine learning in the long term (though they’re not looking for ML engineers at the moment). Across their engineering team, they value people who can work autonomously and possess strong algorithm experience, from development to production, and end-to-end testing.

About them?

They’re not just another tech company, they’re on a mission to transform the way buildings are retrofitted for efficiency. With heating and cooling buildings contributing to 10%+ of global emissions, and with the looming threat of fuel poverty, the need for their solution has never been greater. Their approach involves constructing a new dataset on buildings' heat loss, empowering decision-makers with the insights to drive effective retrofit strategies.

After securing funding, they’re now looking for two skilled software engineers to join their platform team. Reporting directly to their CTO and co-founder, you’ll play a key role in developing their technical leadership and their product.

Interview process - 3 stages;

Firstly, an initial 30-minute chat with the hiring manager, if this goes well they’d like to see you in person for a case study exercise with the final stage with the CEO.

If this role is interesting to you, please email will@zebrapeople.com and we can arrange a chat!

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