Scarlet

Machine Learning Engineer

Scarlet

3 months ago
London, United Kingdom
Onsite
Full Time
Senior
0 applicants
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Scarlet
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About this role

A Machine Learning Engineer at Scarlet is responsible for deploying state-of-the-art AI models in production environments to enhance the certification of medical devices. The role involves collaborating with medical professionals and engineers to develop tools that accelerate and streamline AI systems' validation processes. Key tasks include building datasets, designing evaluation metrics, and creating innovative solutions such as multi-agent systems for evidence gathering. The ideal candidate should have significant experience in software development, a strong understanding of machine learning principles, and a passion for addressing real-world challenges in the medical AI space.

Skills

Scarlet

About Scarlet

www.scarlet.cc

Scarlet is Europe's only Notified Body specializing in the certification of software and AI as medical devices. The company streamlines the certification process for Software as a Medical Device (SaMD) and AI-based Medical Devices (AIaMD), helping manufacturers bring their innovative solutions to market efficiently. Scarlet's mission is to facilitate the transition to universally accessible healthcare by enabling their clients to meet regulatory standards without unnecessary delays. By focusing on specialized processes for software and AI technology, Scarlet aims to enhance the overall quality and availability of healthcare solutions.

About Scarlet

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

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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