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- Tasks: Architect and deploy 3D object detection models while mentoring junior engineers.
- Company: Pioneering tech company in the UK focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Join a cutting-edge team and enhance autonomy in ground handling operations.
- Qualifications: 5+ years of experience, Master's or PhD in Computer Science or Robotics, and Python proficiency.
The predicted salary is between 60000 - 84000 £ per year.
A pioneering technology company in the United Kingdom is seeking an experienced engineer to architect and deploy 3D object detection models. The ideal candidate will have over 5 years of experience in the field, a Master's or PhD in Computer Science or Robotics, and proficiency in Python.
Responsibilities include:
- Building data collection pipelines
- Mentoring junior engineers
This role is crucial for enhancing autonomy in ground handling operations.
Senior Perception Engineer — 3D Vision & Production ML in London employer: AeroVect
Contact Detail:
AeroVect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Perception Engineer — 3D Vision & Production ML in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the 3D vision and ML space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to 3D object detection. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to Python and robotics. We recommend practicing coding challenges to keep your skills sharp.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Perception Engineer — 3D Vision & Production ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in 3D object detection 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 Python proficiency!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about 3D vision and how your background makes you the perfect fit for our team. Let us know what excites you about enhancing autonomy in ground handling operations.
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the gig, share examples of how you've supported others in your previous roles. We love seeing candidates who can lead and inspire, so don’t hold back!
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 innovative team!
How to prepare for a job interview at AeroVect
✨Know Your Tech Inside Out
Make sure you’re well-versed in 3D object detection models and the latest advancements in computer vision. Brush up on your Python skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Experience
With over 5 years in the field, you’ll want to highlight your relevant experience. Prepare examples of how you've built data collection pipelines or mentored junior engineers, as these are key responsibilities for the role.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning concepts and algorithms. Practise explaining complex ideas simply, as this will demonstrate your ability to mentor others effectively.
✨Demonstrate Your Passion for Innovation
This company is pioneering in technology, so show your enthusiasm for innovation in ground handling operations. Discuss any personal projects or research that align with their mission to enhance autonomy in this area.