ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Chief Scientific Officer Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about long-term platform capability, while still being technically hands-on enough to solve complex engineering and operational challenges. How you can make an impact Lead the design and evolution of our ML platform, infrastructure and MLOps capability Build and maintain scalable, reliable and secure systems for model training, testing, deployment, monitoring and lifecycle management Develop the infrastructure and tooling that enable ML Engineers, Data Scientists and Researchers to work efficiently and ship models with confidence Design robust workflows for CI/CD, model versioning, reproducibility, experimentation, feature management and release management Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency Build or optimise internal self-service tooling and platform capabilities to reduce friction for teams working on ML use cases Partner closely with ML, Data, Software and Platform Engineering teams to productionise models and improve the end-to-end ML development lifecycle Support the scaling of infrastructure for both training and inference workloads, including high-throughput, real-time or compute-intensive use cases where relevant Drive best practice in governance, security, compliance, auditability and operational rigour across the ML lifecycle Improve the efficiency and cost-effectiveness of ML systems, including cloud resource usage, compute environments and deployment patterns Mentor engineers and act as a technical leader across ML platform and operations topics Help define the roadmap for ML enablement, ensuring the platform can support current needs while scaling for future growth What we would like to see from you You will have experience working in high growth, fast paced tech-first environments. You are passionate about building
