Hybrid AI Infrastructure Engineer - Scalable Regulated AI

Trovix AI Ltd.

Greater London

Hybrid

GBP 90,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Private health insurance
£2,000 learning budget
Equity options
Team events

Job summary

Trovix AI Ltd in London is seeking a Platform Engineer to manage Kubernetes clusters, CI/CD pipelines and cloud infrastructure powering our AI product deployments. You will work closely with engineers, domain experts and regulated industry clients to ship production features used daily by practitioners at leading UK firms.

This is not a research role — you will contribute to architecture discussions and code reviews, help deploy AI responsibly in regulated environments, and enjoy a flexible

Qualifications

  • Proven track record in Kubernetes, CI/CD and cloud infrastructure.
  • Strong communication with non-technical stakeholders.
  • Experience or familiarity with regulated sectors is a strong plus.
  • Comfort in a fast-moving product company with a small, focused team.

Responsibilities

  • Contribute directly to Trovix product features used by regulated sectors.
  • Collaborate with cross-functional teams across engineering, product, sales and client success.
  • Apply domain expertise to solve problems for regulated professionals.
  • Participate in code reviews, architecture discussions and product planning sessions.
  • Help shape how Trovix builds and deploys AI responsibly in heavily regulated environments.

Skills

Kubernetes
CI/CD
Cloud infrastructure
Cross-functional collaboration
Regulated industries awareness

Job description

Trovix AI Ltd in London is seeking a Platform Engineer to manage Kubernetes clusters, CI/CD pipelines and cloud infrastructure powering our AI product deployments. You will work closely with engineers, domain experts and regulated industry clients to ship production features used daily by practitioners at leading UK firms.

This is not a research role — you will contribute to architecture discussions and code reviews, help deploy AI responsibly in regulated environments, and enjoy a flexible

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