Gigaton

United Kingdom
33 Total Employees
Year Founded: 2020

Jobs at Gigaton

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Recently posted jobs

15 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software • Industrial • Automation
Lead and scale a high-performing software engineering organization building real-time AI control and optimization systems for heavy industrial plants. Responsibilities include coaching engineers and engineering managers, strengthening software quality and delivery practices, aligning engineering plans with company priorities, supporting machine learning and research teams, making technical trade-offs, and developing future technical leaders. The role requires continued technical involvement in architecture, debugging, design reviews, and pairing within a complex, safety-critical environment.
One Month AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software • Industrial • Automation
Open talent pool invitation: Gigaton seeks exceptional candidates across engineering, machine learning, product, commercial, and operations. Submit an application describing your background; the team will review and contact potential matches. Offers equity, flexible working, 30 days holiday, and a pension.
One Month AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software • Industrial • Automation
Lead deployments of AI-driven process control in heavy industry: integrate Gigaton AI into live plants, collaborate with operators and engineers, analyse plant data, design APC/MPC/PID-based control strategies, validate performance, and support scalable deployment playbooks while travelling to sites for commissioning and optimisation.
One Month AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software • Industrial • Automation
Lead architecture, deployment, and operation of secure, scalable cloud platform components across multi-cloud environments. Mentor engineers, design CI/CD and deployment patterns, work with customer cloud accounts to meet security constraints, and drive platform and DevEx improvements for ML and data workloads.