Senior Staff MLOps Engineer

Job summary

The Senior Staff MLOps Engineer will lead the MLOps architecture and technical direction for the AI Accelerator, ensuring efficient model deployment and support. Key responsibilities include defining the end-to-end model lifecycle, establishing MLOps standards, and enabling large-scale distributed training while mentoring MLOps engineers. Proficiency in Python and experience with containerization technologies like Docker and Kubernetes are essential.

Qualifications

• Extensive experience operating at senior staff level within an MLOps, ML Platform Engineering or Machine Learning Engineering function
• Proven track record of defining technical strategy, architecture and engineering standards for ML platforms
• Deep expertise across the MLOps lifecycle
• Strong software engineering skills
• Strong collaboration and influencing skills

Responsibilities

• Own the MLOps architecture and roadmap for the AI Accelerator
• Establish MLOps standards and engineering practices
• Establish standards for model artefact management
• Enable large-scale distributed training
• Drive efficiency and cost optimisation
• Establish ways of working and coach other team members

Skills

Degrees

Relocation