SC-Cleared Computer Vision Engineer (Edge & SLAM)

iO Associates; Bristol (VA); Hybrid; USD 87,014 - 120,482; Full time

Job summary

iO Associates in Bristol is seeking an ML Engineer specialized in computer vision to move models from experimental codebases to rugged, production-ready systems. You will develop solutions for object detection, tracking, and multi-spectral imaging in a defence context.

You’ll work on SLAM-based real-time mapping, edge-optimized pipelines, and productionizing research models. A hybrid role with on-site presence 2–3 days is offered, and you must have active UK SC clearance and British citizenship.

Qualifications

• Active SC clearance and British citizenship required.
• Defence or government project experience preferred.
• Strong Python and PyTorch background for computer vision.
• Experience deploying models to production and on edge devices.

Responsibilities

• Build, train, and deploy deep learning models for object detection, segmentation, and tracking.
• Implement SLAM for real-time mapping and localization on autonomous platforms.
• Optimize computer vision pipelines for edge devices and constrained hardware.
• Wrap research models into maintainable production code.

Skills

Python

PyTorch

SLAM

Edge computing

TensorRT

ONNX

Tools

Docker

CI/CD

Job description

iO Associates in Bristol is seeking an ML Engineer specialized in computer vision to move models from experimental codebases to rugged, production-ready systems. You will develop solutions for object detection, tracking, and multi-spectral imaging in a defence context.

You’ll work on SLAM-based real-time mapping, edge-optimized pipelines, and productionizing research models. A hybrid role with on-site presence 2–3 days is offered, and you must have active UK SC clearance and British citizenship.