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
Hardware / Senior Hardware Engineer in London employer: XpertDirect
Join an innovative AI-driven imaging technology scale-up in London, where you'll be at the forefront of developing advanced perception systems. We pride ourselves on a collaborative work culture that fosters creativity and continuous learning, offering ample opportunities for professional growth and development. With a hybrid working model, competitive benefits, and a commitment to pushing the boundaries of technology, this is an exciting place for passionate engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Hardware / Senior Hardware Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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, especially those involving Python, PyTorch, and OpenCV. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning and image processing knowledge. Practice coding challenges and be ready to discuss your past projects in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Hardware / Senior Hardware Engineer in London
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 how your skills in Python, PyTorch, and OpenCV align with what we're looking for!
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving model optimisation or edge deployment. This gives us a glimpse of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and imaging technology, and how your background makes you a great fit for our team.
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 don’t miss out on any important updates from us!
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 knowledge of deep learning and image processing techniques, as these will likely come up during the interview. Be ready to discuss specific projects where you've trained and deployed CV models.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some technical challenges or case studies related to computer vision. Think about how you can demonstrate your strong mathematical and analytical skills through real-world examples. Practice explaining your thought process clearly and concisely.
✨Familiarise Yourself with Edge Deployment
If you have experience with edge deployment or CUDA, make sure to highlight it. Even if it's not a requirement, showing that you understand multi-camera systems and their applications can set you apart from other candidates. It shows you're proactive and keen to learn.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future direction in AI and imaging technology. This not only shows your interest but also helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers on a deeper level.
