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