Principal Machine Learning Engineer

As a Principal Machine Learning Engineer at Faculty, you will serve as a technical authority driving innovation, setting architectural direction, and steering our flagship systems. You will solve complex problems that span multiple projects and business units, acting as a trusted expert to both internal teams and external clients. In this high-impact role, you will shape software architectures, ensure systems scale seamlessly within broader frameworks, and leverage your deep expertise to help define company strategy while mentoring and fostering the growth of the engineering team.

Steering technical direction on flagship machine learning and advanced data science projects across the organisation.

Designing scalable, complex systems that integrate smoothly with existing software and enterprise architectures.

Defining robust functional and non-functional requirements alongside the software architecture for large-scale platforms.

Solving high-level, cross-project technical challenges that span multiple business units and client ecosystems.

Providing authoritative, expert advice on major strategic initiatives to guide teams and senior stakeholders.

Contributing directly to company strategy by identifying and leveraging emerging technologies and innovative practices.

You possess deep technical authority in machine learning, statistics, and advanced data science methodologies and have a specific focus on the Defence domain.

You have a proven track record of designing large, complex, and scalable systems that fit organisational frameworks.

You demonstrate strong architectural leadership, with experience defining both functional and non functional software requirements.

You are a respected peer and collaborative problem solver capable of delivering expert guidance across multiple initiatives.

You are an experienced technical leader who enjoys the challenge of guiding teams and turning real world problems into architecting system architectures with minimal oversight.

You thrive when setting strategic technical direction and influencing high impact engineering projects.

You bring an entrepreneurial mindset and a passion for fostering team growth and pushing technological boundaries.

Talent Team Screen (30 minutes)

Introduction to the role (45 minutes)

Pair Programming Interview (90 minutes)

System Design Interview (90 minutes)

Commercial & Leadership Interview (60 minutes)