At a Glance
- Tasks: Research and develop cutting-edge biometric security solutions in a collaborative team.
- Company: Join iProov, a leader in biometric identity assurance with a diverse culture.
- Benefits: Enjoy competitive pay, performance bonuses, share options, and generous annual leave.
- Other info: Hybrid work model with opportunities for professional growth and innovation.
- Why this job: Make a real impact in securing digital identities against emerging threats.
- Qualifications: Masters or PhD in a relevant field with experience in machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
About iProov
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. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.
This global trust is built not only on our technology but on the strength of the people behind it. 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.
The Role
Reports to: Platform AI Lead
Location: WeWork Waterloo - Hybrid (2+ days a week in office)
Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
iProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance.
How you can make an impact:
- Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks.
- Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses.
- Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security.
- Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems.
- Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems.
- Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products.
- Collaborate with engineers and researchers to share findings and bring new ideas into production.
What we would like to see from you:
- A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience.
- Proven proficiency or experience in machine learning and computer vision.
- Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions.
- Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions.
- Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems.
- Strong communication skills and enjoys working with cross-functional teams.
Benefits: 25 days Annual Leave, plus 8
Remote ML Engineer (PAD) in Aberdeen employer: iProov
iProov is an exceptional employer that champions diversity and inclusion, fostering a collaborative work culture where every individual can thrive. With a hybrid working model based in the vibrant WeWork Waterloo, employees benefit from flexible arrangements, competitive compensation, and opportunities for professional growth in cutting-edge biometric technology. Join us to be part of a team that not only values your contributions but also empowers you to innovate and make a meaningful impact in the realm of digital security.
StudySmarter Expert Advice🤫
We think this is how you could land Remote ML Engineer (PAD) in Aberdeen
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We think you need these skills to ace Remote ML Engineer (PAD) in Aberdeen
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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