At a Glance
- Tasks: Develop and refine cutting-edge AI models in a dynamic environment.
- Company: Join Ultralytics, a leader in AI innovation and computer vision.
- Benefits: Competitive salary, hybrid work, generous time off, and flexible hours.
- Other info: Work in a high-performance culture focused on extraordinary results.
- Why this job: Make a global impact with state-of-the-art technology and innovative projects.
- 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. Your responsibilities will 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 computer engineer in London employer: Ultralytics
At Ultralytics, we pride ourselves on fostering a high-performance culture that thrives on innovation and collaboration in the heart of London. Our employees enjoy competitive salaries, generous time off, and the flexibility to tailor their work hours, all while engaging with cutting-edge AI projects that push the boundaries of technology. Join us to be part of a dynamic team where your contributions will directly shape the future of Vision AI and where your professional growth is supported and encouraged.
StudySmarter Expert Advice🤫
We think this is how you could land Senior computer engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and computer vision space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨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 what you can bring to the table.
✨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 challenges!
✨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 our team at Ultralytics. Don’t miss out on this opportunity to make an impact!
We think you need these skills to ace Senior computer 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 Computer Engineer role. Highlight your experience with YOLO models, Python, and PyTorch, and don’t forget to mention any relevant projects. This shows us you’ve done your homework and are a great fit for our team!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication, so don’t be afraid to get straight to the good stuff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do 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. Be ready to discuss your experience with YOLO models, Python, and PyTorch in detail. Prepare examples from your past work that showcase your skills in training and deploying object detection models.
✨Showcase Your Projects
Bring a portfolio of your projects or contributions to open-source AI repositories. Highlight specific challenges you faced and how you overcame them, especially in relation to model optimisation techniques like quantisation and pruning. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand Their Mission
Familiarise yourself with Ultralytics' mission and the impact they aim to have in the AI space. Be prepared to discuss how your strategic vision aligns with their goals and how you can contribute to pushing the boundaries of object detection and segmentation.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future directions in AI. This shows your genuine interest in the role and helps you gauge if the high-performance environment is the right fit for you.
