Senior MLOps Engineer

Faculty is a company that specializes in building and deploying responsible AI to transform the performance of its clients. The company is looking for a Senior MLOps Engineer to lead the development and deployment of cutting-edge AI systems for its diverse clients, with a focus on scalability, production-grade ML software, and rigorous operational and ethical standards.

Requirements

• Significant experience operationalising models built with frameworks like TensorFlow or PyTorch
• Deep expertise in software engineering and strong Python skills
• Extensive experience working with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
• Experience with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
• Exceptional communication skills to guide both technical teams and senior, non-technical stakeholders

Benefits

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