At a Glance
- Tasks: Develop and refine cutting-edge AI models in a dynamic environment.
- Company: Join Ultralytics, a leader in AI innovation and YOLO models.
- Benefits: Competitive salary, hybrid work, generous time off, and flexible hours.
- Other info: Work with top-tier talent and engage in groundbreaking AI projects.
- Why this job: Make a global impact in the exciting field of Vision AI.
- Qualifications: 5+ years in Computer Vision, expert in Python and PyTorch.
The predicted salary is between 36000 - 60000 £ per year.
At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're 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. 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.
- 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.
Requirements:
- 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.
- 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. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you.
Compensation and Benefits:
- Competitive Salary: Highly competitive based on experience.
- 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.
If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.
Senior Hardware Engineer in London employer: Ultralytics
At Ultralytics, we pride ourselves on fostering a high-performance culture that thrives on innovation and collaboration. Located in the vibrant city of London, our new office provides a dynamic environment where passionate individuals can engage with cutting-edge AI projects while enjoying flexible working arrangements and generous time off. With ample opportunities for professional growth and a commitment to pushing the boundaries of technology, Ultralytics is an exceptional employer for those eager to make a meaningful impact in the field of Vision AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Hardware Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and computer vision space. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to YOLO models or any cool computer vision work you've done. This is your chance to shine and demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining Ultralytics and being part of our innovative team. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Hardware Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see that you're not just qualified, but genuinely excited about the work we do at Ultralytics. Share any personal projects or experiences that highlight your obsession with AI.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Hardware Engineer role. Highlight relevant experience in computer vision and deep learning, and don’t forget to mention your expertise with Python and PyTorch. We love seeing how your skills align with our mission!
Highlight Your Projects:Got a strong portfolio? Great! Include it in your application. Showcase any contributions to open-source AI repositories or projects you've worked on that demonstrate your skills in model training and deployment. This is your chance to impress us with your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Ultralytics!
How to prepare for a job interview at Ultralytics
✨Know Your Stuff
Make sure you brush up on your knowledge of computer vision and deep learning, especially around the YOLO models. Be ready to discuss your hands-on experience with Python, PyTorch, and OpenCV, as well as any projects you've worked on that relate to object detection.
✨Showcase Your Projects
Bring a portfolio of your work or contributions to open-source AI repositories. Highlight specific projects where you've trained, fine-tuned, or deployed models, particularly within the YOLO family. This will demonstrate your practical experience and passion for the field.
✨Prepare for Technical Questions
Expect technical questions about model optimization techniques like quantization and pruning. Familiarise yourself with deployment frameworks such as TensorRT and OpenVINO, as these are crucial for the role. Practising coding problems related to these topics can also give you an edge.
✨Cultural Fit Matters
Ultralytics is all about innovation and high performance, so be prepared to discuss how you thrive in dynamic environments. Share examples of how you've pushed boundaries in your previous roles and express your eagerness to contribute to their mission of delivering top-tier machine learning tools.
