Edge ML Engineer β€” Real-Time Computer Vision

Edge ML Engineer β€” Real-Time Computer Vision

Full-Time 50000 - 60000 Β£ / year (est.) No working from home possible
Augur Initiative Ltd

At a Glance

  • Tasks: Advance cutting-edge computer vision tech and build efficient inference pipelines.
  • Company: Join Augur Initiative Ltd, a leader in real-time intelligence.
  • Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
  • Other info: Dynamic team environment with growth potential as we scale.
  • Why this job: Make a real impact in the world of AI and computer vision.
  • Qualifications: Strong ML background and experience in scene understanding and object detection.

The predicted salary is between 50000 - 60000 Β£ per year.

Augur Initiative Ltd is seeking an ML Engineer to advance state-of-the-art scene understanding, object detection, tracking, and 3D reconstruction from edge-deployed sensors. You will evaluate research, build efficient inference pipelines, and partner with product and backend teams to deploy production-grade CV models.

Ideal candidates combine deep technical depth with a practical mindset, capable of leading architectural decisions, and mentoring others as Augur scales its real-time intelligence.

Edge ML Engineer β€” Real-Time Computer Vision employer: Augur Initiative Ltd

At Augur Initiative Ltd, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. As an Edge ML Engineer, you will have access to cutting-edge resources and opportunities for professional growth, all while working in a dynamic environment that values creativity and teamwork. Located in a vibrant tech hub, our company offers unique advantages such as networking opportunities with industry leaders and a commitment to advancing your career in real-time computer vision.

Augur Initiative Ltd

Contact Details:

Augur Initiative Ltd Recruitment Team

We think you need these skills to ace Edge ML Engineer β€” Real-Time Computer Vision

Machine Learning
Computer Vision
Scene Understanding
Object Detection
Tracking
3D Reconstruction
Inference Pipelines