AI Platform Engineer: MLOps, Cloud & IaC

Faculty AI; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Sanctus Coaching

Hybrid Working

Job summary

Faculty AI is seeking a Software Engineer for the AI Platform team to architect the infrastructure enabling world-class AI. You’ll work with the Applied AI group to build data science, MLOps, and deployment tooling for a team of over 100 data scientists and engineers.

You will own the platform enabling transformation from exploration to production-grade ML products, ensuring high performance, scalability, and seamless integration across diverse client environments.

Qualifications

• Strong software engineering background with a focus on building internal tools and infra.
• Experience delivering production-grade ML platforms and tooling.
• Comfort with multi-cloud environments and containerised microservices.

Responsibilities

• Own deployment and MLOps tooling to improve quality and reliability.
• Evolve technology stack and features in notebook environments and monitoring systems.
• Collaborate with a small customer-facing team to design and build required infrastructure.
• Design and implement infrastructure-as-code and DevSecOps processes for distributed architectures.
• Integrate core platform services across AWS, Azure and GCP for global clients.
• Scale internal enablement to accelerate ML deployment.

Skills

Python

Go

Docker

Kubernetes

Terraform

CloudFormation

DevSecOps

CI/CD

IaC

Job description

Faculty AI is seeking a Software Engineer for the AI Platform team to architect the infrastructure enabling world-class AI. You’ll work with the Applied AI group to build data science, MLOps, and deployment tooling for a team of over 100 data scientists and engineers.

You will own the platform enabling transformation from exploration to production-grade ML products, ensuring high performance, scalability, and seamless integration across diverse client environments.