At a Glance
- Tasks: Advance scene understanding and deploy cutting-edge computer vision models.
- Company: Augur London, a fast-moving, privacy-first tech team.
- Benefits: Mentorship opportunities, hybrid work, and a chance to shape the future of CV.
- Other info: Join a dynamic team with excellent growth potential.
- Why this job: Make a real impact in real-time intelligence and innovative deployments.
- Qualifications: Experience in machine learning and computer vision techniques.
The predicted salary is between 63000 - 77000 £ per year.
Augur London is seeking an ML Engineer to advance scene understanding, object detection, tracking, and 3D reconstruction from edge sensors.
You will evaluate research, implement efficient inference pipelines, and work with product and backend teams to deploy production-grade CV models.
This role offers mentorship opportunities and a path to influence the company’s computer vision roadmap.
Join a fast-moving, privacy-first team focused on real-time intelligence and robust deployments, with hybrid #J-18808-Ljbffr
Edge CV Engineer: Real-Time Scene Understanding & Deployment in London employer: Augur
At Augur, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to tackle real-world challenges. With a strong focus on professional growth, we offer extensive training opportunities and the chance to work with cutting-edge technologies in a vibrant London setting. Our hybrid work model ensures flexibility while maintaining close connections with our team and customers, making it a rewarding environment for those looking to make a meaningful impact.
