Machine Learning Engineer

About the Company

Faculty was established in 2014 to transform performance through human-centric AI. We innovate, build, and deploy responsible AI for clients across government, finance, retail, energy, life sciences, and defence.

Responsibilities

• Build and deploy production-grade ML software, tools, and infrastructure
• Create reusable, scalable solutions that accelerate the delivery of ML systems
• Collaborate with engineers, data scientists, and commercial leads to solve client challenges
• Lead technical scoping and architectural decisions to ensure project feasibility
• Define and implement standards for deploying machine learning at scale
• Act as a technical advisor to customers and partners, translating complex ML concepts

Requirements

• Experience operationalising models using Scikit-learn, TensorFlow, or PyTorch
• Strong Python skills and software engineering best practices
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with container and orchestration tools like Docker and Kubernetes
• Solid understanding of probability, statistics, and core ML concepts
• Excellent communication skills for technical and non-technical stakeholders

Benefits

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