Cloud Infra Engineer for AI Models in Production

Experis; Greater London; On-site; GBP 138,000 - 153,000; Full time

Job summary

Experis is seeking Software Engineers to strengthen our AI for Science (AI4S) team in London. You will design, build and operate scalable cloud infrastructure and services that support AI models and agentic systems, with 2–3 days on site.

This hands-on role focuses on production-grade, data-driven software to help scientists access clinical and biomedical data reliably. You will own CI/CD, automated testing, monitoring and incident response, work with ML engineers and domain experts, and deliver

Qualifications

• Proven experience building production-grade cloud-native software.
• Experience with AI/ML model serving in production.
• Strong Python development and modern cloud stacks.

Responsibilities

• Design, build and operate scalable cloud infrastructure for AI models.
• Own CI/CD, automated testing, monitoring and incident response.
• Collaborate with ML engineers and domain experts.
• Deliver robust, high-performance code in an agile environment.

Skills

Python

FastAPI

Cloud platforms

CI/CD

Testing

Kubernetes

PyTorch

TensorFlow

English fluency

Distributed systems

Tools

Terraform

GKE

Cloud Run

Cloud Storage

Artifact Registry

Cloud SQL

Job description

Experis is seeking Software Engineers to strengthen our AI for Science (AI4S) team in London. You will design, build and operate scalable cloud infrastructure and services that support AI models and agentic systems, with 2–3 days on site.

This hands-on role focuses on production-grade, data-driven software to help scientists access clinical and biomedical data reliably. You will own CI/CD, automated testing, monitoring and incident response, work with ML engineers and domain experts, and deliver