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- Tasks: Lead research on computer vision and develop robust facial verification systems.
- Company: Innovative biometric technology firm in Greater London.
- Benefits: Competitive compensation, comprehensive benefits, and hybrid work model.
- Why this job: Make a real impact on securing digital identities with cutting-edge technology.
- Qualifications: 2-3 years of machine learning experience and proficiency in Python.
- Other info: Join a dynamic team focused on impactful projects.
The predicted salary is between 48000 - 72000 £ per year.
A biometric technology firm in Greater London seeks a Senior Research Engineer to lead research on computer vision and machine learning models. The role involves developing systems for facial verification and ensuring their robustness against security threats.
The ideal candidate has:
- 2-3 years of experience in machine learning
- A relevant Master's or PhD
- Strong problem-solving skills
- Proficiency in Python
You will work in a hybrid model, contributing to impactful projects that secure digital identities. Competitive compensation and comprehensive benefits are offered.
Senior Research Engineer, Computer Vision & Biometrics in London employer: iProov
Contact Detail:
iProov Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer, Computer Vision & Biometrics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biometric tech field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior Research Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects related to computer vision and machine learning. We recommend including any relevant research papers or GitHub repositories to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Python skills and be ready to discuss your past projects in detail. We suggest practicing common interview questions related to facial verification and security threats to stand out.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always looking for passionate individuals who want to contribute to impactful projects in securing digital identities.
We think you need these skills to ace Senior Research Engineer, Computer Vision & Biometrics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about biometric technology and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in your previous roles. We love seeing candidates who can think critically and come up with innovative solutions!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at iProov
✨Know Your Tech
Make sure you brush up on the latest trends in computer vision and machine learning. Be ready to discuss your previous projects, especially those involving facial verification systems. This shows you’re not just familiar with the theory but have practical experience too.
✨Problem-Solving Scenarios
Prepare for problem-solving questions that test your analytical skills. Think of specific challenges you've faced in past roles and how you overcame them. This will demonstrate your ability to tackle real-world issues in biometric technology.
✨Python Proficiency
Since proficiency in Python is key, be prepared to showcase your coding skills. You might be asked to solve a coding challenge or explain your approach to a project. Practising common algorithms and data structures can give you an edge.
✨Cultural Fit and Teamwork
Research the company culture and be ready to discuss how you can contribute to their team. Highlight your experience working in hybrid models and how you collaborate effectively, as teamwork is crucial in impactful projects.
