Software Engineer (AI Platform) at Faculty

Faculty

London·1d ago

Mid LevelFull-timePythonAWSGCPAzureKubernetesDockerTerraformMicroservicesMachine LearningData Science

Salary Range

$76,500 - $103,500 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Software Engineer to join the AI Platform team at Faculty. You will be responsible for architecting the infrastructure that enables world-class AI, working closely with the Applied AI team to build and maintain data science, MLOps, and deployment tooling.

Key Responsibilities

→Take ownership of deployment and MLOps tooling to ensure quality and reliability in software delivery
→Contribute to the continuous evolution of our technology stack, including building new features and refining model monitoring systems
→Collaborate with a small, fast-moving team to design and build infrastructure for delivery teams
→Design and implement infrastructure-as-code and DevSecOps processes for distributed, containerized microservices architectures
→Integrate core platform services across AWS, Azure, and GCP for global clients
→Scale internal enablement capabilities to accelerate machine learning deployment

Requirements

✓Passion for building internal tools and creating foundational systems
✓Understanding of the machine learning product lifecycle
✓Modern systems programming skills in Python or Go
✓Experience with containerization and orchestration using Docker and Kubernetes
✓Strong background in Infrastructure-as-Code (IaaC) with Terraform or CloudFormation
✓Experience with DevSecOps practices
✓Ability to thrive in small, ambitious teams with high levels of ownership