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- 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.
- 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.
- Other info: Opportunity to publish findings and implement bias-mitigation strategies.
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 in London 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 in London
✨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 machine learning, deepfake detection, and bias-mitigation strategies. This will not only impress potential employers but also give you a chance to discuss your work during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of algorithms and data structures. Practice coding challenges that focus on machine learning concepts. We recommend using platforms that simulate real interview scenarios to get you in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s shape a more secure world together!
We think you need these skills to ace Applied Scientist II: Computer Vision for Digital Identity in London
Some tips for your application 🫡
Show Your Passion for Innovation: When writing your application, let us see your enthusiasm for cutting-edge technology and machine learning. Share any relevant projects or research you've done that align with our focus on digital identities and deepfake detection.
Highlight Your Research Experience: Make sure to detail your experience in advanced research, especially if it relates to fraud detection or bias-mitigation strategies. We want to know how you've contributed to the field and what findings you've published.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific skills and experiences that match the Applied Scientist II role. This shows us you’re genuinely interested in joining 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 about the hiring process.
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.
