Carbon Re

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Engineering Manager (Machine Learning)

  • Engineering
  • Full-time
  • London, GB
  • 90K - 120K GBP a year

Posted on January 25, 2024

Carbon Re is an AI research and development company dedicated to significantly reducing global greenhouse gas emissions. We are focused on the energy-intensive manufacturing industries like cement, steel, and glass, which are responsible for approximately 20% of global emissions. They are referred to as ‘hard-to-abate industries’ for which there is currently no viable path to decarbonisation.

Our mission is to build tools that can enable rapid decarbonisation of these industries. Currently, that means that our focus is on developing a control system for plants that can optimally reduce CO2 emissions, using machine learning. Doing so enables to make immediate impact, while setting us up for redesigning these manufacturing systems for net-zero, and eventually develop climate-friendly materials and processes.

About this role

We're seeking an Engineering Manager to steer our Machine Learning team. You'll be a strategic leader, driving innovation and nurturing a team of engineers and scientists. Your role will be pivotal in developing our ML capabilities, aligning technology with our mission, and scaling our impact on climate change.

As Engineering Manager, you'll oversee the design and execution of cutting-edge architectures, balancing innovation with the practical demands of a startup environment. You're responsible for setting strategic priorities, delivering impactful products, and fostering a culture of excellence and continuous improvement.

In addition to technical leadership, you'll champion our fear-free development ethos, nurturing a supportive, collaborative environment. With your guidance, the team will excel in a fast-paced, results-driven setting, balancing speed with sustainability. You'll have the unique opportunity to shape the future of a growing team while deepening your understanding of complex industrial processes.

About you

You're an ideal fit if you:

  • Are driven by a passion for climate change mitigation and align with our mission.

  • Have a strong background in leading engineering teams.

  • Excel in mentoring, team-building, and fostering technical excellence.

  • Are versed in a broad spectrum of modern ML techniques.

  • Excel at strategic thinking, prioritizing projects for maximum impact.

Note that if you don’t meet all of these qualifications, you should still consider applying. We are building a diverse company with people coming from all sorts of backgrounds and with different skill sets.

More about Carbon Re

We don’t draw a specific line between engineering and research teams. We operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans fundamental ML research to commercial-grade software development, offering diverse learning and impact opportunities.

Immediate action for long-term impact. Due to the cumulative radiative forcing effect, one tonne of carbon saved today will help us meet global temperature targets as much as two tonnes saved in 2050. Immediate carbon reduction has a more profound effect on global temperature goals than future efforts. Our solutions prioritize immediate operational improvements for significant climate impact. We understand the urgency of now.

We value diversity, equity, and inclusivity. With a diverse range of nationalities and a range of backgrounds represented in our small team, we are building an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems through technology.


  • A competitive equity package.

  • 30 days of paid time off, plus UK bank holidays.

  • Paid maternity, paternity, adoption, or shared parental leave.

  • Personal learning budget of up to £500 a year, plus further role-specific training budget.

  • Paid mental health support service.

  • 5% pension matching.

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