Lead Machine Learning Engineer

Lead Machine Learning Engineer

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! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.