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- Tasks: Develop embedded software for cutting-edge AI products using C++ and ML platforms.
- Company: Join a leading global brand in smart home and portable devices.
- Benefits: Competitive rates, hybrid working, and immediate start.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in C++, ML platforms like TensorFlow, and AI models.
- Other info: Work on-site in West London 3 days a week with great career prospects.
The predicted salary is between 36000 - 60000 £ per year.
IC Resources is working with one of the biggest global brand names in home and portable smart devices that are looking for an experienced Embedded Software engineer to join their Embedded AI team.
As the right engineer you will have extensive experience developing embedded systems in C++ alongside knowledge of ML platforms including TensorFlow or AI models within Speech/NLP.
Due to the nature of the work, the client will require 3 days per week on-site and the role is inside of IR35.
- Embedded Software development on AI products
- Knowledge of ML platforms (TensorFlow) or AI models (speech/NLP)
- Extensive C++ development experience
- Ability to work on-site in West London 3 days per week
- Inside IR35, but with very competitive rates
If you’d like to learn more then please contact Bradley Wilson.
Embedded AI Contract in London employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded AI Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the embedded software and AI fields. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your C++ projects and any work with ML platforms like TensorFlow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of embedded systems and AI models, especially in speech and NLP. Practice common interview questions 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 waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Embedded AI Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with embedded systems and C++. We want to see how your skills align with the role, so don’t be shy about showcasing your work with ML platforms like TensorFlow!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Embedded AI team. Mention any relevant projects or experiences that demonstrate your expertise in speech/NLP models.
Show Your Passion for AI: We love seeing candidates who are genuinely excited about AI and embedded systems. Share any personal projects or interests related to AI that could set you apart from other applicants!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at IC Resources
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be ready to discuss your previous projects and how you've used C++ in embedded systems. Practising coding problems related to embedded software can also give you a solid edge.
✨Familiarise Yourself with ML Platforms
Since the role involves working with ML platforms like TensorFlow, it’s crucial to understand the basics and be able to discuss your experience with AI models, especially in Speech and NLP. Consider preparing a few examples of how you've implemented these technologies in past projects.
✨Prepare for On-Site Work Questions
As the position requires you to be on-site three days a week, be ready to discuss your flexibility and how you plan to manage your time effectively. Highlight any previous experiences where you thrived in a hybrid or on-site environment.
✨Research the Company and Its Products
Take some time to learn about the company and their embedded AI products. Understanding their market position and recent innovations will not only help you answer questions but also show your genuine interest in the role and the company.