Kaluza

About Kaluza

Empowering the energy transition with intelligent software

👥 501-1000 employees📅 Founded 2018📍 Kensington, London, UK💰 $100m4.1
B2BEnergySustainabilitySaaS

Key Highlights

  • London headquarters with 501-1000 employees
  • $100 million raised to support sustainable energy solutions
  • Real-time cloud platforms for energy billing and EV charging
  • Flexible working and progressive leave policies

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 ...

🎁 Benefits

Kaluza offers flexible working arrangements, 26 days of holiday, and a Kaluza Share Scheme. Employees benefit from a dedicated personal learning budge...

🌟 Culture

Kaluza fosters a culture that embraces innovation in the rapidly evolving energy landscape. The company is committed to sustainability and leverages m...

Kaluza

Machine Learning Engineer Lead

KaluzaBristol - Hybrid

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Overview

Kaluza is hiring a Machine Learning Engineer - Technical Lead to oversee the development of their Energy Intelligence Platform. You'll work in a hybrid model across Bristol, Edinburgh, and London, focusing on predictive algorithms and data science. This role requires existing right to work in the UK.

Job Description

Who you are

You have a strong background in machine learning and data science, with experience in leading technical projects. Your expertise in predictive algorithms and human-centered design allows you to contribute effectively to the development of innovative solutions in the energy sector. You understand the importance of collaboration and are committed to fostering a diverse and inclusive team environment.

You possess excellent communication skills, enabling you to articulate complex technical concepts to both technical and non-technical stakeholders. Your ability to work autonomously while also valuing in-person collaboration makes you a great fit for Kaluza's hybrid work model. You are excited about the opportunity to make a meaningful impact in the clean energy space.

What you'll do

As a Machine Learning Engineer - Technical Lead at Kaluza, you will be responsible for overseeing the development of machine learning models that drive the Energy Intelligence Platform. You will collaborate closely with the Head of Data Science & Products to ensure that the algorithms you develop are effective and aligned with the company's mission of making clean energy dependable and affordable.

You will lead a team of data scientists and engineers, guiding them in best practices for model development and deployment. Your role will involve designing experiments, analyzing data, and iterating on models to improve performance. You will also engage with cross-functional teams to integrate machine learning solutions into the broader platform, ensuring seamless coordination across various systems.

In addition to technical leadership, you will play a key role in mentoring junior team members, helping them grow their skills and advance their careers. You will be an advocate for data-driven decision-making within the organization, promoting the use of analytics to inform product development and strategy.

What we offer

Kaluza embraces a flexible, hybrid work model that balances autonomy with the power of in-person connection. You will have the opportunity to work in a collaborative environment that values diverse perspectives and innovative thinking. The company is committed to supporting your professional development and offers a competitive salary range of £75,200 - £103,400, reflecting your experience and expertise.

You will be part of a mission-driven organization that is at the forefront of the clean energy transition, making a tangible impact on the future of energy. Kaluza values its employees and fosters a culture of continuous learning and improvement, ensuring that you have the resources and support needed to succeed in your role.

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