gigaton

Gigaton builds autonomous artificial intelligence control and optimisation systems designed to reduce carbon emissions from high-emitting industries such as cement, steel, and glass. The company serves heavy industrial manufacturing plants, operating its products in real time to run plants more efficiently, more stably, and with lower emissions by learning and leveraging the physics of manufacturing. The team consists of scientists, engineers, builders, and operators focused on deep technology that delivers cost and carbon impact in live industrial facilities under real operational constraints.

The open roles indicate that Gigaton is building engineering and research teams focused on machine learning and control systems. The available positions span a range of seniorities from mid-level to principal roles. The open position for a Machine Learning Engineer is located in London with remote work options available, and focuses on building models, optimisers, and controllers that combine edge control with active learning algorithms.

Teams operate as a cohesive unit across research and deployment functions, sharing a common tech stack, knowledge base, and objectives. The work spans from fundamental machine learning research to commercial-grade software development, establishing machine learning infrastructure, and contributing to the technical innovation and problem-solving required across the machine learning lifecycle.