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Software Engineer (AI Platform)
FacultyDecision Intelligence company
London, United KingdomSenior
Data & AI
About the role
Architect infrastructure for AI and MLOps, ensuring software delivery quality and reliability.
- •As a Software Engineer in the AI Platform team, you will architect the infrastructure enabling world-class AI and MLOps.
- •You will build and maintain data science and deployment tooling for a team of over 100 experts.
- •Key Responsibilities Own existing deployment and MLOps tooling to ensure software delivery quality and reliability.
- •Design and implement infrastructure-as-code and DevSecOps processes for containerised microservices.
- •Integrate platform services across AWS, Azure, and GCP environments for global clients.
- •Collaborate with technologists to remove technical friction in machine learning deployment.
- •Requirements Modern systems programming skills in Python or Go.
- •Practical experience with containerisation and orchestration using Docker and Kubernetes.
- •Strong background in Infrastructure-as-Code using Terraform or CloudFormation.
- •Understanding of the machine learning product lifecycle from exploration to production.
Tech stack
PythonDockerKubernetesTerraformAWSAzureGoogle Cloud
Match insights
Tech:Python, Docker, Kubernetes, Terraform, AWS
Level:Senior