Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are looking for a Machine Learning Lead (Engineering) focused on building and delivering production-grade ML-powered applications.
This role is not about research or experimentation. You will be responsible for turning ML models into reliable, scalable, user-facing services.
You will work at the intersection of machine learning and backend engineering, owning the full lifecycle of ML-powered features — from integration to deployment and operation in production.
Design and build production ML services (APIs, microservices, real-time systems)
Integrate ML models into user-facing applications
Ensure reliability, scalability, and performance of ML-powered systems
Define and implement best practices for serving, versioning, and monitoring models in production
Collaborate closely with:
ML engineers / data scientists (who develop models)
DevOps / MLOps team (who provide platform and infrastructure)
Own the delivery pipeline of ML features into production
Lead and mentor engineers working on ML-powered applications
Drive architectural decisions around low-latency and high-load systems
Identify bottlenecks between experimentation and production and eliminate them