Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Innovate in machine learning for digital identities and tackle deepfake and fraud detection.
- Company: Cutting-edge tech company based in London with a focus on advanced research.
- Benefits: 25 days annual leave, private medical insurance, and flexible hybrid work model.
- Other info: Opportunity to publish findings and implement bias-mitigation strategies.
- Why this job: Join a dedicated team to shape a more secure world through technology.
- Qualifications: Experience in machine learning and a passion for research and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge technology company in London is looking for an Applied Scientist II to innovate in machine learning related to digital identities. The candidate will engage in advanced research addressing deepfake detection and fraud detection, publish findings, and implement bias-mitigation strategies.
Enjoy 25 days of annual leave, private medical insurance, and a flexible hybrid work model. Join us to shape a more secure world as part of a dedicated team committed to technological advancement.
Applied Scientist II - Computer Vision for Digital Identity employer: Entrust
Contact Detail:
Entrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist II - Computer Vision for Digital Identity
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computer vision and digital identity. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to deepfake detection and fraud detection. This is your chance to demonstrate your expertise and passion for machine learning – make it shine!
✨Tip Number 3
Prepare for those interviews! Research common questions related to bias-mitigation strategies and be ready to discuss your approach to solving real-world problems. Practise with friends or use mock interview platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your relevant experience in machine learning and digital identities, and let us know why you’re excited about joining our team!
We think you need these skills to ace Applied Scientist II - Computer Vision for Digital Identity
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 our focus on digital identities, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about tackling challenges like deepfake detection and fraud detection. Let us know how you can contribute to our mission of creating a more secure world.
Showcase Your Research Experience: If you've published any findings or worked on bias-mitigation strategies, make sure to include that in your application. We love seeing candidates who are engaged in advanced research and can bring fresh insights to our team.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Entrust
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning, especially around deepfake detection and fraud detection. Familiarise yourself with recent research papers and be ready to discuss how your skills can contribute to innovative solutions in digital identity.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving bias-mitigation strategies. Be specific about your role, the challenges you faced, and the impact of your work. This will demonstrate your hands-on experience and problem-solving abilities.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's mission and the role. Inquire about their current projects in digital identity or how they approach bias in AI. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values.
✨Be Yourself
While it's important to showcase your technical skills, don't forget to let your personality shine through. The team is looking for someone who fits well within their culture, so be genuine and express your passion for technology and innovation.