Senior ML Ops Engineer

We're seeking a Senior MLOps Engineer to build operational infrastructure that brings AI and ML models into production at Global:IQ. This role demands a hands-on engineer with deep expertise in operationalising machine learning systems and cloud infrastructure.

Requirements

• Strong programming skills in Python
• Hands-on MLOps experience
• Cloud platform expertise in AWS
• Experience with MLOps tooling
• Deep understanding of monitoring and observability for ML systems
• CI/CD and Infrastructure as Code
• Ability to work across disciplines
• Strong communication skills
• Analytical and data-driven mindset

Benefits

• Competitive salary
• Generous paid time off
• 401k matching
• Retirement plan
• Opportunities for career growth and development