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 client challenges.
• Leading technical scoping and architectural decisions for impact.
• Defining and implementing Faculty’s standards for deploying ML at scale.
• Acting as a technical advisor to customers and partners.

🎯 Requirements

• Experience operationalising models with Scikit-learn, TensorFlow, or PyTorch.
• Strong Python skills and software engineering practices.
• Hands-on cloud experience (AWS, Azure, GCP) including architecture and security.
• Experience with Docker and Kubernetes for scalable apps.
• Core ML concepts, probability, statistics, and learning techniques.
• Excellent communication; able to guide technical teams and stakeholders.

🎁 Benefits

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