Machine Learning Engineer

Stack

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 critical client challenges
• ▹Lead technical scoping and architectural decisions to ensure project feasibility and impact
• ▹Define and implement Faculty's standards for deploying machine learning at scale
• ▹Act as a technical advisor to customers and partners, translating complex ML concepts for stakeholders

Requirements

• ▹Understanding of the full machine learning lifecycle, with experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch
• ▹Strong Python skills and solid experience in software engineering best practices
• ▹Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security
• ▹Experience with container and orchestration tools such as Docker and Kubernetes, building and managing applications at scale
• ▹Comfort with core ML concepts, including probability, statistics, and common learning techniques
• ▹Excellent communication skills, able to guide technical teams and confidently advise non-technical stakeholders
• ▹Thrives in a fast-paced environment, enjoying the autonomy to own scope and deliver solutions

Soft skills

What we offer

• ▹Unlimited annual leave
• ▹Private healthcare and dental cover
• ▹Enhanced parental leave
• ▹Family-friendly flexibility and flexible working
• ▹Sanctus coaching
• ▹Hybrid working

About the company

Founded in 2014, Faculty is a human-centric AI company that has worked with over 350 global customers across government, finance, retail, energy, life sciences and defence. This role sits within Faculty's Professional and Financial Services unit, which draws on over a decade of Applied AI experience to help financial institutions become more efficient and enhance customer experience within a highly regulated industry.