At a Glance
- Tasks: Build advanced deep learning models for secure behavioural authentication.
- Company: Leading AI recruitment firm at the forefront of technology.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: PhD in Machine Learning and strong PyTorch experience required.
- Other info: Collaborative environment with a focus on innovation and impact.
The predicted salary is between 48000 - 72000 Β£ per year.
A leading AI recruitment firm is seeking a Senior AI Engineer to work on advanced behavioural intelligence technology. The role involves building deep learning models utilizing time-series and human behaviour data, focusing on secure authentication methods. This hands-on position requires experience in deploying models at scale and close collaboration with engineering teams.
Ideal candidates will have a PhD in Machine Learning or a related field and strong experience in PyTorch. The position is hybrid, offering flexibility in work location.
Senior AI Engineer: Behavioural Authentication & Edge ML in Manchester employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior AI Engineer: Behavioural Authentication & Edge ML in Manchester
β¨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for a Senior AI Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning models and projects, especially those involving time-series and human behaviour data. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for technical interviews by brushing up on your PyTorch skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Senior AI Engineer: Behavioural Authentication & Edge ML in Manchester
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your experience with deep learning models and any projects you've worked on that involve time-series or human behaviour data. We want to see how your skills align with the role!
Tailor Your CV: Customise your CV to reflect the specific requirements of the Senior AI Engineer position. Use keywords from the job description, especially around secure authentication methods and PyTorch, to catch our attention.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for behavioural intelligence technology and how your background makes you an ideal candidate.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the easiest way for us to receive your application and ensures youβre considered for the role without any hiccups!
How to prepare for a job interview at 55 Exec Search
β¨Know Your Stuff
Make sure you brush up on your deep learning models and time-series data. Be ready to discuss your previous projects, especially those involving behavioural intelligence and secure authentication methods. We want to see your expertise shine!
β¨Showcase Your Collaboration Skills
Since this role involves close collaboration with engineering teams, be prepared to share examples of how you've successfully worked in a team environment. Highlight any experiences where youβve contributed to deploying models at scale.
β¨Get Familiar with PyTorch
As strong experience in PyTorch is essential, make sure you can talk about your proficiency with it. Bring up specific projects where you used PyTorch to build or deploy models, and be ready to answer technical questions related to it.
β¨Ask Insightful Questions
Prepare some thoughtful questions about the companyβs approach to behavioural authentication and edge ML. This shows your genuine interest in the role and helps us gauge your enthusiasm for the position.