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- Tasks: Design and refine machine learning models for behavioural authentication using sensor data.
- Company: Dynamic tech recruitment firm in Manchester, fostering curiosity and collaboration.
- Benefits: Competitive salary, collaborative environment, and opportunities to tackle real-world problems.
- Why this job: Join a growing AI team and make an impact with cutting-edge technology.
- Qualifications: PhD in a relevant field, deep learning experience with PyTorch, and strong Python skills.
- Other info: Ideal for those who thrive in a curious and innovative atmosphere.
The predicted salary is between 43200 - 72000 £ per year.
A technology recruitment firm is seeking an AI Engineer to join a growing AI team in Manchester, UK. The role involves designing and refining machine learning models for behavioural authentication using sensor data.
Candidates should have experience in deep learning with PyTorch, strong Python skills, and a PhD in a relevant field.
Enjoy an environment that values curiosity and collaboration while tackling complex, real-world problems.
Senior AI Engineer: Edge ML for Secure Behavioral Identity in Manchester employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Edge ML for Secure Behavioral Identity in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, especially those working on edge ML or behavioural authentication. Attend meetups or webinars to connect with potential colleagues and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving deep learning with PyTorch. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding machine learning concepts deeply. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by recruiters who are looking for talent like yours.
We think you need these skills to ace Senior AI Engineer: Edge ML for Secure Behavioral Identity in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deep learning and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with behavioural authentication and sensor data, as it’s super relevant to what we’re looking for.
Be Yourself: We value curiosity and collaboration, so let your personality shine through in your application. Share your passion for tackling complex problems and how you approach challenges in your work.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at 55 Exec Search
✨Know Your Stuff
Make sure you brush up on your deep learning concepts, especially with PyTorch. Be ready to discuss your previous projects and how you've applied machine learning models to real-world problems, particularly in behavioural authentication.
✨Show Your Curiosity
This role values curiosity, so come prepared with questions about the company's approach to AI and their current projects. Demonstrating your interest in their work will show that you're not just looking for a job, but are genuinely excited about contributing to their team.
✨Collaborate Like a Pro
Since collaboration is key, think of examples from your past experiences where you worked effectively in a team. Be ready to share how you handled challenges and contributed to group success, especially in tech-focused environments.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your Python skills and be ready to solve problems on the spot. Practising coding challenges related to machine learning can help you feel more confident when tackling these questions.
