Senior Software Engineer

present of AI; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Gigaton is searching for a platform engineer to keep our industrial AI product running smoothly in production. The role focuses on Python and Terraform, building pipelines, connecting to plant systems, and supporting customer-facing tools.

You will write well-tested code, support live systems, mentor others, and enjoy improving existing systems as well as building new ones within a collaborative, cross-disciplinary team.

Qualifications

• Strong Python experience with well-tested code.
• Experience supporting live production systems.
• Willing to mentor other engineers and improve existing systems.
• Familiarity with Terraform and CI/CD practices.

Responsibilities

• Write production-grade Python with comprehensive tests.
• Own production systems and monitor reliability.
• Collaborate across disciplines to ship features from development to production.
• Improve tooling and release practices for AI workflows.

Skills

Python

Terraform

Testing

Mentoring

CI/CD

Production systems

Tools

Cloud infrastructure tooling

Job description

This is a platform engineering role on a team that keeps the software behind an industrial AI product running smoothly. The work is mostly Python and Terraform, covering build pipelines, connections to plant systems, device software and customer-facing tools. A strong candidate writes well-tested code, supports live systems, mentors others and is happy improving existing systems as well as building new ones.

How it fits the AI era

The product itself is AI that controls heavy industrial plants, so this role sits underneath it, making sure models and control software ship and run reliably. Better tooling and sound engineering habits help ML colleagues move faster and with fewer surprises. Judgement about trade-offs, ownership of production problems and clear teamwork across disciplines stay firmly human.

How it builds AI experience

Someone in this role would see how an AI control system is deployed, monitored and supported in real plants, which is a rare view of AI beyond the lab. Working beside ML engineers on shared code quality and release practices builds practical MLOps understanding. Anyone preparing can explore device fleet management, CI/CD and AI workflows that go beyond simple prompting.

Worth showing

• Production Python with strong tests
• Terraform and cloud infrastructure
• Owning systems in production
• Mentoring other engineers

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Gigaton

Industrial artificial intelligence platform providing self learning process control to cut fuel costs and carbon emissions in energy intensive manufacturing.