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- Tasks: Design and build machine learning models for behavioural AI and mobile devices.
- Company: Tech-focused recruitment agency with a passion for innovation.
- Benefits: Ownership, autonomy, and a collaborative environment that promotes continual learning.
- Why this job: Join a cutting-edge team and make an impact in the AI field.
- Qualifications: PhD in a related field and experience in ML deployment and behavioural modelling.
- Other info: Dynamic role with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A tech-focused recruitment agency is seeking an AI Engineer to design, build, and refine machine learning models for behavioral AI. You will work closely with other AI engineers and product teams, developing deep learning systems using PyTorch, and deploying models for mobile devices.
Ideal candidates have a PhD in a related field and extensive experience in ML deployment and behavioral modeling. The role offers ownership, autonomy, and a collaborative environment that values continual learning.
Edge AI Engineer – Behavioral Biometrics & On-Device ML in London employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI Engineer – Behavioral Biometrics & On-Device ML in London
✨Tip Number 1
Network like a pro! Reach out to fellow AI engineers and product teams on LinkedIn or at tech meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models, especially those using PyTorch. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of behavioral biometrics and on-device ML. 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 hiring managers who value candidates that take the initiative.
We think you need these skills to ace Edge AI Engineer – Behavioral Biometrics & On-Device ML in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning models and any specific projects you've worked on. We want to see how your skills align with the role of Edge AI Engineer, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with PyTorch and mobile deployment, as these are key aspects of the role. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Authentic: Let your personality shine through in your application. We value a collaborative environment, so showing us who you are and how you work with others can really make you stand out. Don’t be afraid to share your passion for AI!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at 55 Exec Search
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning models, especially in behavioural AI. Be ready to discuss your experience with PyTorch and any projects you've worked on that involved deploying models for mobile devices.
✨Showcase Your Collaboration Skills
Since the role involves working closely with other AI engineers and product teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you contributed to a team project or helped resolve conflicts.
✨Demonstrate Continuous Learning
This position values continual learning, so come equipped with examples of how you've kept your skills sharp. Whether it's online courses, workshops, or personal projects, show that you're proactive about staying updated in the fast-evolving field of AI.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to behavioural biometrics and on-device ML. This not only shows your interest in the role but also gives you a chance to assess if the company’s values align with yours.
