Full stack engineer developing and scaling generative AI applications at PwC. Collaborating across teams to enhance software solutions and mentor junior engineers while maintaining high standards.
About the role
- Director of Data, ML & AI Engineering at Collinson leading enterprise data and AI platforms. Ensuring reliable, scalable, and secure data solutions for analytics and innovation.
Responsibilities
- Lead the design and evolution of enterprise-grade data, ML, and AI engineering platforms
- Ensure platforms are resilient, scalable, and production-ready
- Lead multiple engineering squads across data, platform, ML, and AI engineering disciplines
- Partner with the VP of Analytics and Head of Innovation & AI to align platform capabilities
- Own and optimise platform total cost of ownership (TCO)
- Deliver consistent, reliable group-wide data and AI platform services
- Build and retain inclusive, high-performing engineering teams
Requirements
- Senior leadership experience across data, platform, ML, and/or AI engineering in enterprise or federated environments
- Deep understanding of modern cloud-native data platforms , large-scale distributed systems, and emerging data technologies
- Proven experience delivering and evolving enterprise-scale data and AI platforms from inception to production
- Hands-on knowledge of ML/AI operationalisation , including pipelines, lifecycle management, and experimentation frameworks
- Demonstrated capability managing cost, risk, security, and compliance at scale
- Strong people leadership and team development experience
- Ability to translate complex technical concepts into business impact with senior stakeholders
- A collaborative, adaptive leadership style
Benefits
- Competitive salary
- Opportunities for professional development
- Flexible working hours
- Company culture focused on inclusion and collaboration
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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