
Empowering the energy transition with intelligent software
Kaluza is a London-based intelligent software platform focused on transforming the energy sector through digitization and sustainability. With over 500 employees, Kaluza has raised $100 million in funding to develop its real-time cloud platforms, which streamline operations for energy retailers and ...
Kaluza offers flexible working arrangements, 26 days of holiday, and a Kaluza Share Scheme. Employees benefit from a dedicated personal learning budge...
Kaluza fosters a culture that embraces innovation in the rapidly evolving energy landscape. The company is committed to sustainability and leverages m...

Kaluza • Bristol, England, United Kingdom; Edinburgh, Scotland, United Kingdom; London, England, United Kingdom
Kaluza is seeking a Machine Learning Engineer to develop optimization and ML algorithms for their energy platform. You'll work with Python and frameworks like TensorFlow and PyTorch. This role requires experience in machine learning and data analysis.
You have a strong background in machine learning and data analysis, with experience in developing and deploying machine learning models. You are proficient in Python and familiar with frameworks such as TensorFlow and PyTorch, enabling you to create effective algorithms that optimize energy usage. Your analytical mindset allows you to tackle complex problems and derive actionable insights from data. You thrive in collaborative environments, sharing knowledge and supporting your team members, including other Machine Learning Engineers and Analysts. You are curious and tenacious, always seeking to improve processes and outcomes through innovative solutions.
Experience with generative AI solutions is a plus, as well as familiarity with optimization techniques in the context of energy systems. A background in the energy sector or related fields would be beneficial, providing you with insights into the challenges and opportunities within the industry.
As a Machine Learning Engineer at Kaluza, you will be part of a centralized ML team focused on developing cutting-edge solutions that enhance the efficiency of energy utilities. You will work on optimizing algorithms that help automate and simplify core operations, contributing to a lower-cost and higher-engagement experience for customers. Your role will involve collaborating with cross-functional teams to identify data-driven opportunities and implement machine learning solutions that drive business impact. You will also engage in knowledge sharing and mentorship within the data community, fostering a culture of continuous learning and improvement.
You will be responsible for designing and implementing machine learning models that can analyze and predict energy usage patterns, ultimately helping to create a more sustainable energy system. Your contributions will directly impact Kaluza's mission to make renewable energy accessible and affordable for all. You will have the opportunity to work on exciting projects that push the boundaries of technology in the energy sector, ensuring that your work is both meaningful and impactful.
Kaluza embraces a flexible, hybrid work model that allows you to balance your professional and personal life effectively. You will have access to dedicated personal learning and home office budgets, empowering you to grow your skills and enhance your work environment. The company prioritizes meaningful gatherings and celebrations, fostering a strong sense of community and collaboration among team members. You will also enjoy competitive compensation, with a salary range of £63,200 - £86,900, and benefits that support your well-being from day one. Join Kaluza and be part of a team that is shaping the future of energy.
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