Cloud Platform Engineer for AI/ML Infrastructure

Faculty; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Hybrid Working

Job summary

Faculty is seeking a Platform Engineer to design, build, and deploy robust cloud infrastructure powering AI/ML workflows. You will work with data scientists and ML engineers to enable scalable, secure deployments in Azure and AWS.

You’ll contribute to internal standards, reuse code, and integrate best practices in CI/CD and GitOps. A cross‑functional role with a strong emphasis on collaboration with clients and stakeholders.

Qualifications

• Pragmatic and outcome‑focused, balancing big picture with details.

Responsibilities

• Build robust, secure, scalable cloud infrastructure for AI/ML workflows.
• Collaborate with technical and non‑technical stakeholders from idea to implementation.
• Contribute to internal best practices, standards, and reusable code repositories.
• Identify and propose new cloud infrastructure solutions to clients’ challenges.
• Create and maintain reusable libraries and infrastructure‑as‑code across the company.
• Research and integrate open‑source technologies to enhance infrastructure capabilities.

Skills

Azure

AWS

Infrastructure as Code

Terraform

Docker

Kubernetes

CI/CD

GitOps

Networking

Cloud Security

Stakeholder management

Tools

Terraform

Docker

Kubernetes

Job description

Faculty is seeking a Platform Engineer to design, build, and deploy robust cloud infrastructure powering AI/ML workflows. You will work with data scientists and ML engineers to enable scalable, secure deployments in Azure and AWS.

You’ll contribute to internal standards, reuse code, and integrate best practices in CI/CD and GitOps. A cross‑functional role with a strong emphasis on collaboration with clients and stakeholders.