Machine Learning Engineer

📋 Description

• Building and deploying production-grade ML software, tools, and infrastructure.
• Creating reusable, scalable solutions that accelerate the delivery of ML systems.
• Collaborating with engineers, data scientists, and commercial leads to solve critical client
• Leading technical scoping and architectural decisions to ensure project feasibility and impact.
• Defining and implementing Faculty’s standards for deploying machine learning at scale.
• Acting as a technical advisor to customers and partners, translating complex ML concepts for

🎯 Requirements

• You understand the full machine learning lifecycle and have experience operationalising models
• You possess strong Python skills and solid experience in software engineering best practices.
• You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP)
• You've worked with container and orchestration tools such as Docker & Kubernetes to build and
• You are comfortable with core ML concepts, including probability, statistics, and common learning
• You're an excellent communicator, able to guide technical teams and confidently advise