Machine Learning Research Engineer

• Research and prototype deep learning models for speech enhancement and separation.
• Design and optimise training pipelines using large-scale audio datasets.
• Collaborate with engineering teams to deploy models into real-world, low-latency environments.
• Stay up to date with new research and contribute to the company's IP.

• Background in audio or speech-related ML (e.g., noise suppression, source separation).
• MSc or PhD in a relevant field (ML, Signal Processing, Computer Science, etc.)
• Strong Python skills with experience in PyTorch or TensorFlow.
• Experience taking models from research to production.

This is a great opportunity to join a small, high-performing team at the forefront of voice AI innovation, with genuine impact and visibility across the business.

We're working with a rapidly growing AI company developing cutting-edge technology that enhances real-time voice and audio communication. Their products use advanced deep learning and signal processing techniques to isolate speech and remove background noise, improving clarity and focus across a range of industries, from enterprise software to high-performance environments.