Skills

Python Test Research Training Machine Learning PyTorch Deep Learning Computer Vision Artificial Intelligence Mathematics

Job Specifications

We’re partnered with an audio AI company developing breakthrough technologies that elevate the quality and fidelity of digital sound. Their products leverage advanced machine learning and signal processing to deliver high-performance voice isolation, audio enhancement and intelligent listening experiences used by thousands of people worldwide.

They are now seeking a Machine Learning Research Engineer to join their growing research team in London. You’ll work on the development of new audio ML capabilities, contributing to research, model design, training and deployment across GPU, CPU and NPU environments. This role sits within the audio super-resolution research track, pushing beyond the state of the art in audio generation and enhancement.

Responsibilities

Conduct research and develop deep learning models for audio super-resolution and related audio ML tasks
Evaluate, stress-test and refine ML models to ensure real-world robustness and suitability for production
Expand the company’s audio ML algorithm suite while maintaining low memory usage and minimal processor overhead
Implement and train models across multiple hardware architectures, supporting end-to-end workloads from research and implementation through to training, evaluation and inference
Communicate research results internally across teams and contribute to technical reports and papers

Requirements

MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science/Engineering, Mathematics, or a related field
Strong knowledge of machine learning and deep learning fundamentals
Background in real-time audio ML research, including experience with both conventional architectures (CNNs, RNNs) and emerging architectures such as state space models
Excellent Python skills and expertise with a modern ML framework such as PyTorch
Experience applying and optimising ML techniques in a product-driven environment
Knowledge of real-time audio signal processing and/or real-time machine learning.

Preferred

Experience in music or speech source separation (personalised separation is a plus)
Background or interest in music

This is an opportunity to join a high-performing team building next-generation audio ML technologies with meaningful real-world impact.

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.

About the Company

In the search for highly skilled talent, IC Resources has supported the technology community since 1999. We match great talent to deep-tech companies around the world. Founder-led and independent, IC Resources evolves with the industry, building extensive market knowledge and long-term relationships. IC Resources is viewed as a key contributor to the technology ecosystem. We’re one of the few recruitment companies that really pays it forward. Our 70 specialist recruitment consultants work to find the best long-term fit f... Know more