Machine Learning Engineer

About the Company

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

Responsibilities

• Build and deploy production-grade ML software, tools, and infrastructure
• Create reusable, scalable solutions for retail and consumer use cases
• Collaborate with engineers, data scientists, and product teams to solve client challenges
• Lead technical scoping and architectural decisions for project feasibility and scalability
• Define and implement standards for deploying machine learning systems in production
• Act as a technical advisor to customers, translating ML concepts into business outcomes
• Apply ML to demand forecasting, customer analytics, personalisation, and inventory management

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 containerisation and orchestration tools like Docker and Kubernetes
• Solid understanding of probability, statistics, and experimentation
• Excellent communication skills for advising non-technical stakeholders

Preferred Qualifications

• Experience working with retail, consumer, ecommerce, marketing, or supply chain data

Benefits

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