Lead Machine Learning Engineer

In this Lead AI/ML Engineer role, you define the technical direction for large-scale, production-ready AI platforms and guide cross-functional teams. You shape architecture, trade-offs, and roadmaps to deliver high-value AI in high-risk environments. You will lead multi-workstream delivery and ensure reliable performance through robust testing and lifecycle management. This role combines hands-on engineering with leadership to advance responsible AI for public sector and other clients. You’ll work closely with stakeholders to balance speed, quality, and impact.

• Unlimited Annual Leave
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Hybrid Working
• Sanctus Coaching

• Design and maintain scalable ML systems for production environments
• Develop and share model deployment libraries and CI/CD pipelines
• Create APIs/services to integrate AI into applications
• Oversee multiple complex workstreams and define project problems in high-risk settings
• Define testing and model versioning frameworks for reliability
• Coach and manage multiple engineers to raise technical depth and delivery
• Advise on adopting new AI frameworks and technologies to stay competitive

• expert in defining technical roadmaps and managing priorities in high-growth settings
• cloud-native expertise and Kubernetes for automating model lifecycles and CI/CD pipelines
• proven track record in designing large-scale AI platforms and justifying architectural decisions in risk-heavy environments
• hands-on experience operationalising models with TensorFlow or PyTorch
• ability to define engineering standards and architecture patterns for production-grade systems
• strong alignment of cross-disciplinary teams with business goals and customer needs

• leadership and people management
• stakeholder management and communication
• problem-solving mindset under high-stakes conditions
• Kubernetes
• TensorFlow
• PyTorch