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# Computer Vision Engineer

- **Company:** Ultralytics
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Automation of Tests, Software Quality, Continuous Integration, Github, Python (Programming Language), Object Detection, OpenCV, Open Source Technology, Azure Machine Learning, Video Editing, Pytorch, Deep Learning, Git, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Software Version Control, Docker
- **Published:** July 12, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2869968168-2

## About the Role

* 5+ years of hands-on experience in Computer Vision and Deep Learning .
 * Expert-level proficiency in Python and deep expertise with PyTorch .
 * Strong practical experience with OpenCV for image and video processing tasks.
 * Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family .
 * Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO .
 * Experience with MLOps tools and practices, including version control (Git), Docker , and CI/CD with GitHub Actions .
 * Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
 * A strong portfolio of projects or contributions to open-source AI repositories .

Cultural Fit - Intensity Required

## Description

* Developing, training, and optimizing state-of-the-art computer vision models , with a primary focus on the Ultralytics YOLO ecosystem.
 * Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets .
 * Leading the full lifecycle of model development, from research and training to validation and performance benchmarking .
 * Mastering model export to various formats such as ONNX , OpenVINO , and TensorRT to support a wide range of hardware.
 * Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices .
 * Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing.
 * Collaborating with the team to push the boundaries of what's possible in object detection , segmentation , and other core computer vision tasks .

Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community.


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