Proximie 1709630474
Proximie is seeking a Senior MLOps Engineer to build and maintain the infrastructure that deploys and monitors machine learning solutions in live hospital environments. The role focuses on ensuring model reliability, performance, and scalability using AWS SageMaker and modern MLOps practices. This position involves transforming ML models into production services while implementing robust monitoring and deployment pipelines.
Headquarters
London, England, United Kingdom
Company Size
51-200 employees
Founded
2016
Proximie is a cloud-based "operating system" for intelligent operating rooms that enables real‑time connectivity and collaboration across the perioperative lifecycle. Its platform and SDK provide live video, device and data integrations, a searchable procedure video library, and developer tools so hospitals and medtech companies can build, deploy, and scale surgical workflows and applications. Built‑in AI and analytics surface procedural insights to drive productivity, training, remote proctoring, and quality improvement. Healthcare organizations use Proximie to extend surgical expertise, streamline workflows, and accelerate innovation in the OR.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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