Edge ML Engineer — Real-Time Computer Vision

Augur Initiative Ltd; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

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

Qualifications

• Solid understanding of modern computer vision techniques including object detection, tracking and depth estimation.
• Experience deploying CV models to production environments; ONNX/TensorRT familiarity is a plus.
• Comfort navigating academic literature and benchmarking SOTA models for production integration.

Responsibilities

• Lead architectural decisions for CV capability development and deployment in a fast-moving team.
• Collaborate with product and backend teams to deploy production-grade CV models at scale.
• Mentor teammates and shape the future of CV capabilities at Augur.

Skills

Core ML/CV

Deployment

Research Fluency

Engineering Rigor

Autonomy

Tools

PyTorch

Torchvision

OpenCV

Lightning

W&B

Job description

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