Senior MLOPs Engineer

Faculty is a company that uses AI to transform the performance of its clients. The Senior MLOps Engineer role involves leading the development and deployment of cutting-edge AI systems for various clients. The role requires a blend of technical expertise, engineering leadership, and client-facing skills.

Requirements

• Deep expertise in software engineering and strong Python skills
• Experience operationalising models built with frameworks like TensorFlow or PyTorch
• Extensive experience working with cloud platforms (e.g., AWS, Azure, GCP)
• Experience with container and orchestration tools such at Docker & Kubernetes

Benefits

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