At a Glance
- Tasks: Develop advanced perception systems using AI and imaging technology.
- Company: AI-driven scale-up focused on innovative imaging solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with potential for significant impact in real-world applications.
- Why this job: Join a cutting-edge team and shape the future of computer vision technology.
- Qualifications: 3+ years in computer vision or AI engineering with strong analytical skills.
The predicted salary is between 50000 - 70000 £ per year.
An AI-driven imaging technology scale-up is looking for a Computer Vision Engineer to work on advanced perception systems for real-world environments.
Key Skills:
- Python
- PyTorch
- OpenCV
- Deep Learning
- Image processing
- Model optimisation
Experience Required:
- ~3+ years in computer vision or AI engineering
- Experience training and deploying CV models
- Strong mathematical and analytical skills
Nice to Have:
- Edge deployment
- CUDA
- Multi-camera systems
Computer Engineer employer: XpertDirect
Join an innovative AI-driven imaging technology scale-up in London, where you will be at the forefront of developing advanced perception systems. We foster a collaborative work culture that values creativity and continuous learning, offering ample opportunities for professional growth and skill enhancement. Enjoy the unique advantage of a hybrid working model that promotes work-life balance while contributing to cutting-edge projects in the heart of a vibrant tech community.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Computer Vision Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, PyTorch, and OpenCV. Having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning concepts and model optimisation techniques. Practice coding challenges related to image processing to get into the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Computer Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computer vision and AI engineering. We want to see those 3+ years of relevant skills, so don’t hold back on showcasing your projects with Python, PyTorch, and OpenCV!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and imaging technology. Share specific examples of how you've trained and deployed CV models, and how your strong analytical skills can benefit our team.
Showcase Your Projects:If you’ve worked on any cool projects involving deep learning or image processing, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to edge deployment or multi-camera systems.
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 shows us you’re keen to join our team!
How to prepare for a job interview at XpertDirect
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and OpenCV. Brush up on your deep learning concepts and be ready to discuss how you've trained and deployed computer vision models in the past. The more specific examples you can provide, the better!
✨Show Off Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about real-world problems you've solved using image processing or model optimisation. Be ready to explain your thought process and the steps you took to arrive at a solution.
✨Get Familiar with Edge Deployment
If you have experience with edge deployment or multi-camera systems, make sure to highlight it. Even if it's not a requirement, showing that you understand these concepts can set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company’s projects, team dynamics, or future technologies they plan to explore. This shows your genuine interest and helps you gauge if it’s the right fit for you.
