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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 career growth opportunities.
- Why this job: Drive innovation in real-time communication and make a significant impact.
- Qualifications: MSc or PhD in relevant fields and experience in 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 are partnered with an innovative AI company building worldâclass technology that powers realâtime 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 highâperformance sectors.
They are now looking for a Lead Machine Learning Engineer to take a handsâon 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 realâtime 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, highâperforming engineering team.
- Bridge research and production â ensuring scalable, lowâlatency model deployment.
- Collaborate crossâfunctionally with software and product teams to integrate ML systems into live products.
- Contribute to the company's longâterm AI strategy and technical roadmap.
- 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 productionâgrade ML systems with measurable performance improvements.
- Experience with lowâlatency 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 realâtime communication and audio intelligence.
If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you are interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.
Seniority level: MidâSenior level
Employment type: Fullâtime
Job function: Engineering and Research
Industries: Software Development and Research Services
Lead Machine Learning Engineer in London employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Machine Learning Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to people in the AI/ML space, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to speech enhancement or machine learning models. This will give potential employers a taste of what you can do.
â¨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications of ML. Be ready to discuss your experience with Python, PyTorch, and any relevant frameworks you've used.
â¨Tip Number 4
Donât just apply anywhereâapply through our website! Weâre always looking for talented individuals like you to join innovative teams. Tailor your application to highlight how you can contribute to the companyâs AI strategy.
We think you need these skills to ace Lead Machine Learning Engineer in London
Some tips for your application đŤĄ
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 donât forget to mention any leadership roles you've had!
Showcase Your Projects: Include specific projects where you've used Python, PyTorch, or TensorFlow. We love seeing real examples of your work, especially if they demonstrate your ability to deliver production-grade ML systems.
Craft a Compelling Cover Letter: Your cover letter should tell us why youâre the perfect fit for this role. Share your passion for AI and how your background aligns with our mission to enhance communication clarity through innovative technology.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity in our R&D team!
How to prepare for a job interview at IC Resources
â¨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.
â¨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.
â¨Understand the Companyâs Vision
Research the companyâs 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.
â¨Prepare for Technical Questions
Expect to face some technical challenges during the interview. Brush up on digital signal processing concepts and be ready to solve problems on the spot. Practising coding challenges related to ML model optimisation can also give you an edge.
