Machine Learning Engineer - Defence

Faculty is a leading organization transforming organizational performance through safe, impactful, and human-centric AI. They are seeking a Machine Learning Engineer to design, build, and deploy production-grade software and MLOps systems, contributing to customers solving complex problems in Defence and National Security. The role involves working with stakeholders, data scientists, and engineers to implement best practices and operationalize machine learning systems.

Requirements

• Understanding of, and experience with the full machine learning lifecycle
• Working with Data Scientists to deploy trained machine learning models into production environments
• Experience with software engineering best practices and developing applications in Python
• Technical experience of cloud architecture, security, deployment, and open-source tools
• Demonstrable experience with containers and specifically Docker and Kubernetes
• An understanding of the core concepts of probability and statistics
• Demonstrable experience of managing/mentoring more junior members of the team
• Outstanding verbal and written communication

Benefits

• Professional challenge of a lifetime
• Opportunity to work with brilliant minds
• Diverse and distinctive team