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