Job title: Machine Learning Engineer
Location: Bristol, London, Edinburgh (including hybrid)
Salary: £40,000 - £75,000
Kaluza reimagines energy to bring net-zero within everyone’s reach. The Kaluza Platform enables energy utilities to unlock the full value of a radically changing energy system and propel us to a future where renewable energy is sustainable, affordable and accessible for all. From automating and simplifying core operations including billing to create a lower-cost, higher-engagement experience, to optimising energy usage across smart devices in the home, we turn tough challenges into win-win-win outcomes for customers, suppliers and the energy system.
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Where will I be working?
You'll be joining the technology area of Kaluza Flex. With increasing volatility in energy prices, the need for a distributed intelligent zero carbon electricity grid has never been greater. Kaluza Flex is bridging the gap between distributed renewable generation such as wind turbines and solar panels and smart devices like electric vehicles to optimise their charging to the times where low cost, renewable generation is at its highest. By dynamically matching consumption with generation we’re bringing lower cost, lower carbon energy to end consumers while also balancing the grid. You’ll be working with energy IoT, electric vehicles, real-time distributed systems and machine learning algorithms to build the intelligent zero carbon grid of the future.
Within Kaluza Flex, we’re a small team of data-led and product focused Software Engineers, Production Engineers and Data Scientists, pushing the boundaries of energy IoT to bring the intelligent zero carbon grid of the future to life. As a collective we strive for engineering greatness and ensuring best practices across the board of the engineering community.
What will I be doing?
You’ll be developing optimisation and ML algorithms as part of the flexibility platform. You’ll be working on some cutting edge problems such as control of EV, batteries, heat pumps and other devices charging and optimal energy trading of flexibility
We have a matrixed approach, so you will spend most of your day-to-day being part of a close-knit agile team with several engineers, a product manager and a software engineering manager. You will also be part of the centralized data science & analytics team, sharing best practices and providing a like-minded community.
Key responsibilities include:
Identifying potential opportunities: Contribute to finding new places that data science could bring value to our products, ensuring the right questions are being asked and identifying where data science can have the biggest impact - and assessing potential risks.
Is this the job for me? It could be if some of these apply
Kaluza Values
Here at Kaluza, we have five core values that guide us as a business:
We’re on a mission, We build together, We’re inclusive, We get it done, and We communicate with purpose.
Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear and reflect what we, as people and a business, really care about.
Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this?
From us, you’ll get
Even better? You’ll have access to these benefits from day 1 when you join.
We want the best people.
At Kaluza, we empower our people to have choices around where and when they work - flexible working arrangements can be discussed for all of our roles. Please speak to the Talent Acquisition team for more info. We’re keen to meet people with varied backgrounds - our view is the more inclusive we are, the better our work will be.
We want to build teams representing various experiences, perspectives and skills, and we recognise talent based on merit and potential. We understand some people may not apply for jobs unless they tick every box.
If you’re excited about joining us and think you have much of what we’re looking for, even if you’re not 100% sure… we’d love to hear from you. Learn more about working in Kaluza on our careers page and LinkedIn.