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Head of Engineering

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Gigaton
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    Software Engineer, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 120000 - 160000 GBP Yearly GBP 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

At Gigaton, we're on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries (like cement, steel and glass), by building autonomous AI control and optimisation systems that learn and leverage the physics of manufacturing. Our products run heavy industrial plants more efficiently, more stably, and with lower emissions in real time - laying the foundation for the next industrial revolution.

We are a team of scientists, engineers, builders, and operators who love hard problems, have high standards, and want to make change happen in the physical world. We care about deep tech, but we care even more about whether it delivers cost and carbon impact in a live plant, with real people, under real constraints.

With Gigaton, you'll solve really tough problems in places few people ever get close to, and build something that actually helps the planet. Are you up for the challenge?

About the role

We're looking for a Head of Engineering to join our team and help us build AI that controls the world's most complex industrial plants in real time.

What will this role achieve?

The goal: Build a high-performing software engineering organisation that reliably delivers customer value while providing the platform and infrastructure that enables our machine learning and research teams to succeed.

Outcome – an elite engineering team. We've built solid foundations: continuous deployment, modern observability, high test coverage and a fear-free culture. You'll help the organisation continually improve by coaching engineers and team leads, strengthening engineering practices, and creating space for the technical investments that keep us moving quickly.

Outcome – a culture of quality. We operate in a complex, safety-critical domain while moving quickly. Software quality is how we resolve that tension. You'll embed planning, review and engineering practices that help teams identify risks early, ship confidently and learn continuously.

Outcome - shared alignment. We have ambitious objectives, and a high bar for performance. We need make measurable progress through tangible, realistic goals. You'll partner with the Head of Machine Learning, Head of Product, and the CTO to turn company priorities into realistic engineering plans. You'll help teams make thoughtful trade-offs, maintain focus, and deliver predictably as priorities evolve.

Outcome - the next generation of technical leaders. As Gigaton grows, our success depends on developing leaders at every level. You'll coach team leads to become confident technical and people leaders, establish clear expectations and management frameworks, and create an environment where leadership is nurtured deliberately.

What a great fit looks like
  • You have a strong software engineering background and have successfully transitioned into engineering leadership.

  • You have experience leading through team leads or engineering managers, and enjoy developing other leaders.

  • You understand how to introduce enough structure to help team scale, without introducing unnecessary process.

  • You remain technically proficient and enjoy working directly with engineers on architecture, debugging, design reviews, or pairing.

  • You understand modern software engineering practices, including TDD, pair programming, and continuous deployment.

You’ll excel if
  • You are passionate about climate impact and excited about Gigaton's mission to decarbonise heavy industry.

  • You enjoy working with domain experts to solve complex real-world problems.

  • You have an educational background in the physical sciences.

  • You have experience building software for scientific, industrial, or data intensive systems.

  • You have worked closely with machine learning or data engineering teams.

You are not expected to check every box, and we'd love to hear from you even if your experience isn't an exact match.

We're building a team that reflects the world we want to change. Our people come from all walks of life - different countries, cultures and experiences - and we think that’s one of our biggest strengths. We're committed to creating a workplace where everyone feels safe, respected and celebrated. No matter your background, if…

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