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- Tasks: Develop and optimise cutting-edge computer vision models for real-world applications.
- Company: Join Ultralytics, a leader in open-source AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: Experience in computer vision and strong problem-solving skills required.
The predicted salary is between 50000 - 70000 £ per year.
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.
Computer Vision Engineer in London employer: Bluebird Recruitment
Contact Detail:
Bluebird Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Ultralytics on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects, especially those related to YOLO or similar models. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your model development knowledge. Be ready to discuss your approach to data augmentation and model optimization, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Ultralytics.
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about computer vision and how you can contribute to our mission at Ultralytics. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Be specific about the tools and technologies you’ve used in your previous roles. Mention your experience with model development, data augmentation, and any CI/CD practices. We’re keen to know how you can hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out!
How to prepare for a job interview at Bluebird Recruitment
✨Know Your Models Inside Out
Make sure you’re well-versed in the Ultralytics YOLO ecosystem. Brush up on the latest advancements and be ready to discuss how you’ve developed, trained, or optimised models in your past roles. This shows your passion and expertise in computer vision.
✨Showcase Your Data Skills
Be prepared to talk about your experience with data augmentation and preprocessing techniques. Have specific examples ready that demonstrate how you've improved model robustness on diverse datasets. This will highlight your practical skills and problem-solving abilities.
✨Understand Deployment Strategies
Familiarise yourself with model export formats like ONNX, OpenVINO, and TensorRT. Be ready to discuss how you’ve optimised models for high-performance inference on various devices. This knowledge is crucial for the role and will impress the interviewers.
✨Collaborate and Communicate
Since collaboration is key at Ultralytics, think of examples where you’ve worked effectively in a team. Discuss how you’ve contributed to CI/CD pipelines or used GitHub Actions to ensure code quality. This will show that you can work well with others and contribute to the team’s success.