At a Glance
- Tasks: Drive research in computer vision and machine learning for biometric systems.
- Company: Join iProov, a leader in biometric identity assurance with a diverse culture.
- Benefits: Enjoy 25 days annual leave, performance bonuses, share options, and more.
- Other info: Hybrid work environment with excellent growth opportunities.
- Why this job: Make a real impact on security technology while collaborating with talented teams.
- Qualifications: Masters or PhD in a numerate discipline; experience in machine learning and Python.
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: Head of Core AI
- Location: WeWork Waterloo - Hybrid
- Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
iProov is looking for a Machine Learning Engineer to join our Core 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:
- Drive research projects in the areas of computer vision, machine learning and biometrics.
- Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution.
- Develop and train deep learning models for face verification, liveness and attack detection.
- Improve upon data and evaluation strategies, including synthetic and adversarial data.
- Investigate failure modes and improve generalisation, robustness and fairness.
- Collaborate cross-functionally to turn models into production-quality services.
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.
- Enjoys collaborating with cross-functional teams.
- Proficiency in Python and modern deep learning frameworks.
- Strong problem-solving skills and out-of-box thinking.
Extras:
- Experience working on 0->1 products.
- Experience generating and using synthetic data.
Benefits: 25 days Annual Leave, plus 8
Remote ML Engineer (CoreAI) in Bournemouth employer: iProov
iProov is an exceptional employer that champions innovation and inclusivity, making it a fantastic place for a Remote ML Engineer to thrive. With a strong focus on employee growth, the company offers competitive benefits including a performance bonus, share options, and generous annual leave, all within a collaborative hybrid work environment at WeWork Waterloo. At iProov, you will be part of a diverse team dedicated to pioneering biometric solutions, ensuring your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Remote ML Engineer (CoreAI) in Bournemouth
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We think you need these skills to ace Remote ML Engineer (CoreAI) in Bournemouth
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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Craft a Tailored Cover Letter:For a full-time role at iProov, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at iProov. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at iProov
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
