Senior Machine Learning Engineer

Stack

Responsibilities

• ▹Leading technical scoping and architectural decisions for high-impact ML systems
• ▹Designing and building production-grade ML software, tools and scalable infrastructure
• ▹Defining and implementing best practices for deploying machine learning at scale
• ▹Collaborating with engineers, data scientists, product managers and commercial teams
• ▹Acting as a trusted technical advisor to customers and partners
• ▹Mentoring and developing junior engineers, shaping engineering culture

Requirements

• ▹Understanding of the full ML lifecycle, significant experience operationalising TensorFlow or PyTorch models
• ▹Deep software engineering expertise, strong Python skills, building robust systems
• ▹Demonstrable hands-on experience with cloud platforms (AWS, Azure, GCP), architecture, security
• ▹Extensive experience with container and orchestration tools (Docker, Kubernetes)
• ▹Ownership and autonomy in fast-paced, high-growth environments

Soft skills

What we offer

• ▹Unlimited Annual Leave Policy
• ▹Private healthcare and dental
• ▹Enhanced parental leave
• ▹Family-friendly flexibility and flexible working
• ▹Sanctus Coaching
• ▹Hybrid working

About the company

Faculty's Life Sciences team builds AI solutions that optimise the research and commercialisation of life-changing therapies, partnering with major pharma firms, academic research centres and MedTech start-ups.