Machine Learning Engineer - Energy Optimisation 

Clean-energy tech leads to a positive global transformation. Heating homes contribute to 15% of Europe's CO2 emissions. Switching to sustainable solutions offers households a way to achieve net-zero emissions.
Aira's mission is to advance the next generation of home energy solutions, creating intelligent, sustainable homes for a meaningful impact. Starting with innovative heat pumps, it will evolve into a comprehensive, intelligent clean energy-tech system and include dynamic electrical tariffs, cutting-edge home solar systems, and advanced battery storage solutions.
Founded in 2022 with already 800 employees and growing, Aira aims to drive the clean energy revolution. We are headquartered in Stockholm, Sweden, and our factory in Poland brings these innovations to life, with operating markets in the UK, Italy, and Germany.
About the role
As a Machine Learning Engineer, you will play a key role in building intelligent energy optimisation solutions for our customers’ homes. Through optimisation, we help our customers minimise costs and reduce emissions, directly impacting their contribution to a greener environment and helping to ease the weight of energy cost on their wallets.
Our work helps Aira’s products adapt to their surroundings, drawing on physical sensors and hardware to sense the world around, then learning the thermodynamics and physics of a customer's home through machine learning, optimisation, and simulation.
We believe you'll thrive in this role if you are passionate about leveraging your mathematical and machine learning expertise to tackle complex optimisation challenges and create innovative solutions that benefit our customers and the environment.
Key responsibilities include:
Drive the development of optimisation models, ranging from individual devices to entire homes and fleets of homes connected to the electricity grid.
Engage in the full lifecycle of machine learning projects, from initial concept and data collection through evaluation, deployment, and refinement.
Collaborate with cross-functional teams, including hardware engineers and UX designers, to ensure we build the best solutions to meet our customers' needs and drive value.

We think you’ll enjoy this role if you have:
Mathematical Expertise: strong understanding of the mathematical foundations of machine learning and complex optimisation problems, with experience in techniques such as convex optimisation or reinforcement learning.
End-to-end Implementation: proven experience in leading machine learning or data science projects from start to finish.
Customer Focus: a strong motivation to create value for our customers, with curiosity to understand how our models can solve their problems.
Programming Skills: proficiency in programming languages such as Python (preferred), R, or Java.

Additional plus if you have experience with the following:
Familiarity with specialised machine learning frameworks and deep learning frameworks such as PyTorch and TensorFlow/Keras.
Prior experience working with thermodynamics, physical systems, and/or energymodeling.



What is in it for you?
Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities.
Collaborate with diverse teams across international markets and launch products globally.
Develop and grow personally and professionally in an entrepreneurial-minded environment.
Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world.
Influence the company's success, with a visible impact on product development and market growth.
Enjoy the flexibility of our hybrid work model and discover our brand-new office at Norra Stationsgatan 93 in Stockholm. Conveniently located near public transport, with Sankt Eriksplan and Odenplan stations just a few minutes' walk away.

Aira leads in the next generation of energy. We are driven by our belief that the power of diversity fuels innovation. We welcome individuals from all backgrounds, cultures, and perspectives to join our team, united in our mission to create a better future for society and the planet.