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- Tasks: Develop innovative machine learning solutions for digital identities and publish research.
- Company: Leading security solutions firm in Greater London with a focus on innovation.
- Benefits: Hybrid work model, career growth opportunities, and a collaborative environment.
- Why this job: Make a real impact in security by tackling deepfake detection and bias mitigation.
- Qualifications: Experience in machine learning and a passion for research and development.
- Other info: Flexible work arrangements to support your lifestyle and career ambitions.
The predicted salary is between 36000 - 60000 £ per year.
A leading security solutions firm in Greater London is seeking an Applied Scientist I to develop innovative machine learning solutions for digital identities. The ideal candidate will focus on deepfake detection, bias mitigation, and anomaly detection.
Responsibilities include:
- Publishing research
- Optimizing ML models
This role offers a collaborative work environment with a hybrid model, prioritising career growth and flexibility.
Applied Scientist I: Identity ML for Secure Onboarding in London employer: Entrust
Contact Detail:
Entrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist I: Identity ML for Secure Onboarding in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the security and machine learning fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to deepfake detection, bias mitigation, or anomaly detection. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your ML knowledge and current trends in digital identity security. Practice common interview questions and be ready to discuss your research and how it relates to the role.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings and resources that can help you land that Applied Scientist I position. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Applied Scientist I: Identity ML for Secure Onboarding in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, especially in areas like deepfake detection and anomaly detection. We want to see how your skills align with our needs, so don’t be shy about 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 security solutions and how your background makes you a perfect fit for the Applied Scientist role. Let us know what excites you about working with us!
Showcase Your Research Skills: Since publishing research is part of the gig, include any relevant publications or projects in your application. We love seeing candidates who are proactive in sharing their findings and contributing to the field!
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’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Entrust
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around deepfake detection and anomaly detection. Be ready to discuss any relevant projects you've worked on and how they relate to the role.
✨Showcase Your Research Skills
Since publishing research is part of the job, prepare to talk about any papers or articles you've written. Highlight your ability to communicate complex ideas clearly, as this will be crucial in a collaborative environment.
✨Understand Bias Mitigation
Familiarise yourself with bias mitigation techniques in machine learning. Be prepared to discuss how you would approach this issue in your work, as it’s a key focus for the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your career aspirations.
