Machine Learning Research Engineer

Machine Learning Research Engineer

Location: London (Hybrid)

Salary: Competitive + Benefits

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.

They’re now looking for a Machine Learning Research Engineer to join their R&D team in London. The successful candidate will work at the intersection of machine learning, signal processing, and real-time systems , developing and deploying novel models that push the limits of audio intelligence.

Responsibilities:

• 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.

Requirements:

• 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.

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.