Platform Engineer, MLOps

Overview

Role focused on deploying and managing infrastructure for AI/ML operations.

Ideal candidate has 5+ years of experience building core infrastructure and operating orchestration systems at scale.

Locations

• United Kingdom, England, London

Requirements

• Professional experience with model training
• Experience with Huggingface Transformers
• Experience with Pytorch
• Experience with infrastructure as code tools like Terraform
• Experience with cloud platforms like Google Cloud, AWS or Azure

Responsibilities

• Design and deploy CI/CD pipeline
• Manage monitoring, logging, and alerting systems
• Ensure training environments are available
• Develop containerization and orchestration systems
• Operate large Kubernetes clusters
• Improve software solutions reliability
• Measure and optimize system performance
• Provide operational support for software applications

Benefits

• Generous PTO
• Comprehensive medical and dental insurance
• Paid parental leave
• Fertility and family planning support
• Early-detection cancer testing
• Competitive pension scheme
• Annual work-life stipends
• Company-wide off-sites