Edge AI Engineer — Embedded ML for Smart Devices (SC)
Edge AI Engineer — Embedded ML for Smart Devices (SC)

Edge AI Engineer — Embedded ML for Smart Devices (SC)

Full-Time 60000 - 70000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deploy AI models on embedded hardware for smart devices.
  • Company: Rapidly expanding tech company based in Stroud with a focus on innovation.
  • Benefits: Competitive salary up to £70,000 and opportunities for professional growth.
  • Why this job: Join a hands-on role and make an impact in the exciting field of Edge AI.
  • Qualifications: Strong experience in Edge AI and ability to hold SC clearance.
  • Other info: Collaborate with diverse teams across hardware and data science.

The predicted salary is between 60000 - 70000 £ per year.

A rapidly expanding technology company based in Stroud is seeking an Edge AI Engineer to design and deploy AI models on embedded hardware. This hands-on role involves developing and optimising AI/ML models for edge devices, collaborating with teams across hardware and data science.

Candidates should have strong experience in Edge AI and be capable of holding SC clearance. Competitive salary of up to £70,000 on offer.

Edge AI Engineer — Embedded ML for Smart Devices (SC) employer: KO2 Embedded Recruitment Solutions Ltd

Join a rapidly expanding technology company in Stroud, where innovation meets collaboration. As an Edge AI Engineer, you'll thrive in a dynamic work culture that values creativity and teamwork, while enjoying competitive salaries and opportunities for professional growth in the cutting-edge field of embedded machine learning. With a focus on employee development and a commitment to pushing technological boundaries, this is an excellent place for those seeking meaningful and rewarding employment.
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Contact Detail:

KO2 Embedded Recruitment Solutions Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Edge AI Engineer — Embedded ML for Smart Devices (SC)

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Edge AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to Edge AI and embedded ML. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with AI models and embedded systems. Practising common interview questions can help you feel more confident.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Edge AI Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Edge AI Engineer — Embedded ML for Smart Devices (SC)

Edge AI
Embedded Machine Learning
AI Model Development
Model Optimisation
Collaboration Skills
Hardware Integration
Data Science Collaboration
SC Clearance

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Edge AI and embedded ML in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects and achievements!

Tailor Your CV: Customise your CV to reflect the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for. This helps us see that you’re a perfect fit for the Edge AI Engineer position.

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about this role. Share your enthusiasm for AI and how you can contribute to our team. Keep it concise but engaging – we love a good story!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at KO2 Embedded Recruitment Solutions Ltd

Know Your Edge AI Inside Out

Make sure you brush up on your knowledge of Edge AI and embedded ML. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you optimised AI models for edge devices. This will show your hands-on experience and technical expertise.

Collaborate Like a Pro

Since this role involves working with teams across hardware and data science, be prepared to talk about your collaboration skills. Share examples of how you've successfully worked in cross-functional teams and how you communicated complex ideas to non-technical colleagues.

Get Familiar with SC Clearance

Understand what holding SC clearance entails and be ready to discuss your eligibility. If you have prior experience with security clearances, mention it! This shows you're aware of the responsibilities that come with the role.

Show Your Passion for Innovation

This is a rapidly expanding tech company, so they’ll want to see your enthusiasm for cutting-edge technology. Talk about the latest trends in Edge AI and how you stay updated. Demonstrating your passion can set you apart from other candidates.

Edge AI Engineer — Embedded ML for Smart Devices (SC)
KO2 Embedded Recruitment Solutions Ltd

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