At a Glance
- Tasks: Develop cutting-edge biometric systems and algorithms to enhance security and performance.
- Company: Join iProov, a leader in biometric identity assurance with a focus on diversity and inclusion.
- Benefits: Negotiable salary, performance bonus, share options, and generous annual leave.
- Other info: Enjoy a hybrid work environment at WeWork Waterloo with excellent career growth opportunities.
- Why this job: Make a real impact in the fight against deepfakes while working with innovative technology.
- Qualifications: Proficiency in machine learning, computer vision, and Python required.
The predicted salary is between 50000 - 60000 £ per year.
iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences.
For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.
Location: WeWork Waterloo - Hybrid
Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
iProov is looking for a Computer Vision Research Engineer to join our Biometric Platform team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance.
- Research and prototype new biometric systems - by testing and integrating existing technologies or by designing a new solution
- Provide guidance and collaborate on cross-functional projects
- Proficiency in Machine Learning
- Experience in Computer Vision
- Python
25 days Annual Leave, plus 8
Experienced Research Engineer in London employer: iProov
iProov is an exceptional employer that champions diversity and inclusion, creating a supportive environment where every employee can thrive. Located in the vibrant WeWork Waterloo, our hybrid work culture promotes flexibility and collaboration, while offering competitive benefits such as a performance bonus, share options, and generous annual leave. Join us to be part of a forward-thinking team dedicated to pioneering biometric solutions that make a real difference in security and user experience.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced Research 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and technical challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at iProov.
We think you need these skills to ace Experienced Research Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Computer Vision Research Engineer. Highlight your experience in machine learning and computer vision, and don’t forget to mention any relevant projects or technologies you've worked with that align with our biometric solutions.
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 skills can contribute to our mission at iProov. Keep it concise but engaging – we want to see your personality!
Showcase Your Projects:If you’ve worked on any cool projects related to biometric systems or computer vision, make sure to include them in your application. We love seeing practical examples of your work, so don’t hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates from us. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at iProov
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision and machine learning. Be ready to discuss specific algorithms you've worked with and how they apply to biometric systems. This shows you're not just familiar with the concepts but can also contribute meaningfully to iProov's projects.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous roles, particularly related to developing new techniques or integrating technologies. Highlight your thought process and how you arrived at solutions, as this will demonstrate your analytical skills and creativity.
✨Emphasise Collaboration
Since the role involves cross-functional projects, be ready to talk about your experience working in teams. Share instances where you collaborated with others to achieve a common goal, and how you navigated any differences in opinion. This will show that you value diversity and teamwork, aligning with iProov's culture.
✨Ask Insightful Questions
Prepare thoughtful questions about iProov's current projects, especially regarding their liveness technology and how they combat deepfakes. This not only shows your genuine interest in the company but also gives you a chance to assess if their values align with yours.
