machine learning engineer

Faculty is an AI company that helps organizations transform their performance through human-centric AI solutions. The company develops and deploys responsible AI systems across various sectors, including government, finance, retail, energy, life sciences, and defence.

• Define and own the organization-wide technical vision for ML engineering, establishing architectural standards and practices;
• Oversee the end-to-end delivery of flagship, business-critical ML programs across multiple workstreams and teams;
• Drive the strategic adoption of new technologies, platforms, and ways of working to evolve engineering practices;
• Cultivate senior engineering talent, coach leads and managers, and embed a culture of technical rigor;
• Act as the principal technical voice in C-suite and executive client engagements to shape AI strategy;
• Lead significant sales and pre-sales opportunities by providing architectural authority;
• Partner with Data Science, Commercial, and Infrastructure leadership to align ML engineering strategy with business goals.

• Recognized authority in ML engineering with the ability to solve complex technical problems;
• Mastery of Python and a proven track record of designing and operationalizing production-grade ML systems at scale;
• Expert knowledge of multiple major Cloud Solution Providers and experience directing complex, full-stack AI platforms;
• Deep expertise in containerization, orchestration, and MLOps at scale;
• Proven track record of developing senior engineering talent and shaping high-performance engineering cultures;
• Visible external profile through publications, conference contributions, open-source leadership, or industry influence;
• Ability to operate at the executive level and translate technical decisions into commercial outcomes.

• Unlimited annual leave policy;
• Private healthcare and dental;
• Enhanced parental leave;
• Family-friendly flexibility and flexible working;
• Sanctus coaching.