Computer Vision Engineer in Slough

At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We are looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI.

This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.

As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include:

• 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.

Skills and Experience:

• 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.

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

Compensation and Benefits:

• Competitive Salary: Highly competitive based on experience.
• Startup Equity: Participate directly in our company's growth and success.
• Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
• Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
• Flexible Hours: Tailor your working hours to suit your productivity.
• Tech: Engage with cutting-edge AI projects and our Ultralytics HUB.
• Gear: Brand-new Apple MacBook and Apple Display provided.
• Team: Become part of a supportive and passionate team environment.

If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.