Machine Learning Engineer

📋 Description

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

🎯 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 containerisation and orchestration tools such as Docker and Kubernetes to build
• You are comfortable with core ML concepts, including probability, statistics, experimentation, and
• Experience working with retail, consumer, ecommerce, marketing, supply chain, or customer data is

🎁 Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working