Senior ML Architect & Strategic Engineering Leader

Faculty; Greater London; On-site; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Flexible hours

Part-time option

Job summary

Faculty invites a Principal Machine Learning Engineer to join our London team. You will set the architectural vision for ML engineering, drive production-grade ML systems at scale, and partner with senior leadership to shape AI strategy across global clients.

You will influence engineering culture, mentor leaders, and help secure long-term strategic partnerships while delivering high-impact ML programmes across multiple workstreams.

Qualifications

• Proven ability to design and scale production-grade ML systems.
• Experience across multiple ML frameworks and paradigms is preferred.
• Visible external profile through publications, conferences, or open-source work.

Responsibilities

• Define and own the organisation-wide technical vision for ML engineering.
• Oversee end-to-end delivery of flagship ML programmes across teams and clients.
• Drive strategic adoption of new technologies and ways of working.
• Cultivate senior engineering talent and embed a culture of technical rigour.
• Engage with C-suite and executive clients to shape AI strategy and partnerships.
• Lead on high-value sales and pre-sales opportunities with architectural authority.
• Collaborate with Data Science, Commercial, and Infrastructure to align ML strategy with business goals.

Skills

Python

ML engineering

Cloud platforms

MLOps

Containerisation

Orchestration

Leadership

Executive communication

Tools

Kubernetes

Job description

Faculty invites a Principal Machine Learning Engineer to join our London team. You will set the architectural vision for ML engineering, drive production-grade ML systems at scale, and partner with senior leadership to shape AI strategy across global clients.

You will influence engineering culture, mentor leaders, and help secure long-term strategic partnerships while delivering high-impact ML programmes across multiple workstreams.