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- Tasks: Lead the development of machine learning models for real-time speech enhancement.
- Company: Join a leading AI company at the forefront of innovation.
- Benefits: Enjoy a competitive salary, great benefits, and a hybrid work model.
- Why this job: Make a real impact in AI while leading cutting-edge projects.
- Qualifications: Experience in ML engineering, digital signal processing, and Python required.
- Other info: Exciting opportunity for career growth in a dynamic R&D team.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI company is seeking a Lead Machine Learning Engineer to take a hands-on leadership role in their R&D team. This position focuses on technical ownership and strategic direction in developing machine learning models for real-time speech enhancement.
The ideal candidate will have significant experience in ML engineering and strong skills in digital signal processing and Python.
A competitive salary and benefits package is offered for this full-time role based in London with a hybrid work model.
Hybrid Lead ML Engineer — Real-Time Speech & DSP in London employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Lead ML Engineer — Real-Time Speech & DSP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those working in real-time speech enhancement. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in machine learning and digital signal processing. This is your chance to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and DSP knowledge. Be ready to discuss your past projects and how you tackled challenges in real-time applications.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Lead ML Engineer — Real-Time Speech & DSP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering and digital signal processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time speech enhancement and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role is all about technical ownership, make sure to highlight your proficiency in Python and any other relevant tools or frameworks. We love seeing practical examples of your work, so feel free to include links to your GitHub or projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at IC Resources
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain the algorithms you've used, the challenges you faced, and how you overcame them. This shows your technical ownership and depth of knowledge.
✨Showcase Your DSP Skills
Since this role focuses on real-time speech enhancement, brush up on your digital signal processing skills. Be ready to discuss specific projects where you've applied DSP techniques, and how they contributed to the success of your ML models.
✨Demonstrate Leadership Experience
As a Lead ML Engineer, you'll need to show that you can guide a team. Prepare examples of how you've led projects or mentored others in the past. Highlight your ability to provide strategic direction and foster collaboration within a team.
✨Prepare for Technical Questions
Expect technical questions related to Python and machine learning frameworks. Brush up on your coding skills and be ready to solve problems on the spot. Practising common coding challenges can help you feel more confident during the interview.
