At a Glance
- Tasks: Develop and prototype cutting-edge biometric systems using machine learning and computer vision.
- Company: Join iProov, a leader in biometric identity assurance with a focus on diversity and inclusion.
- Benefits: Enjoy competitive pay, performance bonuses, share options, and generous annual leave.
- Other info: Collaborate with diverse teams and grow your career in an innovative company.
- Why this job: Make a real impact in security tech while working in a dynamic, hybrid environment.
- 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
Research Engineer (D 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 Research Engineer (D 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 brushing up on common technical questions and problem-solving scenarios. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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 Research Engineer (D in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a 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 iProov's focus.
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 iProov’s mission. Keep it concise but engaging, and let your personality come through.
Showcase Your Projects:If you’ve worked on any interesting 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!
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 you’re keen on joining the iProov team!
How to prepare for a job interview at iProov
✨Know Your Tech
Make sure you brush up on your knowledge of computer vision and machine learning. Be ready to discuss specific algorithms or techniques you've worked with, and how they relate to biometric systems. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about your previous projects in detail. Highlight any experience you have with developing or prototyping biometric systems. Use examples that demonstrate your problem-solving skills and how you collaborated with others on cross-functional projects.
✨Embrace Diversity
iProov values diversity and inclusion, so be prepared to discuss how your unique background and experiences can contribute to their culture. Think about how you can bring a fresh perspective to the team and enhance collaboration.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they measure success in the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
