Senior Machine Learning Engineer

About the Company

Faculty was established in 2014 to transform performance through human-centric AI. We work with over 350 global customers across government, finance, retail, energy, life sciences, and defence to build and deploy responsible AI.

Responsibilities

• Lead technical scoping and architectural decisions for high-impact ML systems
• Design and build production-grade ML software, tools, and scalable infrastructure
• Define and implement best practices for deploying machine learning at scale
• Collaborate with engineers, data scientists, and product managers to solve client challenges
• Act as a trusted technical advisor to customers and partners
• Mentor and develop junior engineers to shape engineering culture

Requirements

• Significant experience operationalising models using TensorFlow or PyTorch
• Deep expertise in software engineering and strong Python skills
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP
• Extensive experience with container and orchestration tools like Docker and Kubernetes
• Ability to communicate complex concepts to technical and non-technical stakeholders
• Experience working in fast-paced, high-growth environments

Benefits

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