Senior Machine Learning Engineer

Job Overview

This role focuses on providing solution expertise and platform engineering for AI enablement, bridging research and production to accelerate GenAI capabilities. It involves working with product teams to navigate technical challenges, optimize implementations, and scale AI innovation without building models directly.

Responsibilities

• Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, labelling, and optimisation.
• Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
• Provide expert guidance on platform capabilities, helping teams understand what’s possible and how to get there efficiently.
• Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
• Debug and resolve complex issues, identifying root causes and sharing learnings broadly.
• Balance hands-on problem solving with strategic thinking about how to scale enablement impact across the organisation.

Qualifications

• Strong Python expertise with experience in ML frameworks.
• Experience working with Kubernetes.
• Experience or knowledge of building data pipelines.
• Experience or knowledge of model evaluations.
• Experience with inference optimisation and serving infrastructure.
• Experience supporting or working closely with research, data science, or product teams.
• Excellent debugging and problem-solving skills across the full ML stack.
• Ability to context-switch effectively across multiple concurrent projects.
• Strong communication skills with the ability to explain complex technical concepts to varied audiences.
• A collaborative mindset with a focus on enabling others.