Machine Learning Engineer

Stack

Responsibilities

• ▹Building and deploying production-grade ML software, tools and infrastructure
• ▹Creating reusable, scalable solutions that accelerate delivery of ML systems
• ▹Collaborating with engineers, data scientists and commercial leads to solve client challenges
• ▹Leading technical scoping and architectural decisions for project feasibility
• ▹Defining and implementing Faculty's standards for deploying ML at scale
• ▹Acting as a technical advisor to customers, translating complex ML concepts

Requirements

• ▹Understanding of the full ML lifecycle and experience operationalising models with Scikit-learn, TensorFlow or PyTorch
• ▹Strong Python skills and solid software engineering best practices
• ▹Hands-on experience with cloud platforms (AWS, Azure, GCP), including architecture and security
• ▹Experience with container and orchestration tools such as Docker and Kubernetes
• ▹May need to be eligible for UK Developed Vetting (DV) and willing to work on site occasionally

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 National Security and AI Safety business unit advances the responsible development and deployment of AI in support of national security and global stability, partnering with government and major tech organisations.