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- Tasks: Lead the design and optimisation of ML models for real-time speech enhancement.
- Company: Innovative AI company revolutionising voice and audio intelligence.
- Benefits: Highly competitive salary, hybrid work, and exciting career growth.
- Why this job: Drive innovation in real-time communication and make a significant impact.
- Qualifications: MSc or PhD in relevant fields and experience leading ML teams.
- Other info: Join a dynamic team and contribute to cutting-edge AI technology.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Location: London (Hybrid)
Salary: Highly Competitive + Benefits
We’re partnered with an innovative AI company building world‑class technology that powers real‑time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high‑performance sectors.
They’re now looking for a Lead Machine Learning Engineer to take a hands‑on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real‑time speech enhancement.
Responsibilities:
- Lead the design, training, and optimisation of ML models for speech separation and noise reduction.
- Provide technical leadership and mentorship to a small, high‑performing engineering team.
- Bridge research and production — ensuring scalable, low‑latency model deployment.
- Collaborate cross‑functionally with software and product teams to integrate ML systems into live products.
- Contribute to the company’s long‑term AI strategy and technical roadmap.
Requirements:
- MSc or PhD in Computer Science, Machine Learning, or Signal Processing.
- Proven experience in leading or mentoring ML/AI engineering teams.
- Deep understanding of digital signal processing and speech/audio modelling.
- Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks.
- Track record of delivering production‑grade ML systems with measurable performance improvements.
- Experience with low‑latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable.
This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real‑time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now!
Lead Machine Learning Engineer in England employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to speech enhancement or noise reduction. This is your chance to demonstrate your expertise and passion for machine learning.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of digital signal processing and ML frameworks like PyTorch or TensorFlow. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Machine Learning Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Machine Learning Engineer role. Highlight your experience with ML models, especially in speech separation and noise reduction, and don’t forget to mention any leadership roles you've had!
Showcase Your Projects: Include specific projects where you've successfully deployed ML systems. We want to see your track record of delivering production-grade solutions, so share measurable performance improvements you've achieved.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about AI and how your skills align with our mission at StudySmarter. Don’t just repeat your CV; tell us a story that connects your experience to the role.
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 this exciting opportunity in our innovative team!
How to prepare for a job interview at IC Resources
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning models, especially those related to speech enhancement and noise reduction. Be ready to discuss your experience with Python, PyTorch, and TensorFlow, as well as any projects where you've successfully deployed ML systems.
✨Show Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored others or led projects in the past. Highlight your ability to bridge research and production, and how you've contributed to a team's success.
✨Understand the Company’s Vision
Research the company’s products and their approach to real-time voice and audio intelligence. Be ready to discuss how your skills align with their long-term AI strategy and how you can contribute to their technical roadmap.
✨Prepare for Technical Questions
Expect to face some technical challenges during the interview. Brush up on digital signal processing concepts and low-latency inference techniques. Practising coding problems related to model optimisation will also give you an edge.