Lead Machine Learning Engineer

Salary: £59,000 - 99,000 per year

Requirements:

• MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science/Engineering, Mathematics, or a related field
• 3+ years of experience leading machine learning research or engineering teams
• Strong Python skills and deep expertise with at least one modern ML framework such as PyTorch
• Proven experience applying and optimizing AI/ML algorithms in a production-oriented environment
• Knowledge of real-time audio signal processing or real-time ML
• Experience in audio super-resolution, speech enhancement and/or speech-to-text
• Strong communication skills, with the ability to convey complex research outcomes to diverse audiences
• Background or interest in music or signal processing

Responsibilities:

• Refine and execute our research strategy and long-term roadmap for audio machine learning
• Identify emerging opportunities in deep learning for audio and evaluate their applicability to future products
• Lead multiple concurrent research streams, including audio super-resolution, speech enhancement and speech-to-text
• Work closely with product and engineering teams to transition research models into scalable, production-ready systems
• Present research outcomes to stakeholders across engineering, product, commercial and leadership teams
• Foster a collaborative, open and product-focused research environment

Technologies:

• AI
• Machine Learning
• PyTorch
• Python
• Computer Vision

More:

We are partnered with a cutting-edge audio AI company developing next-generation technology to improve the quality, clarity and intelligence of digital sound. Our products apply advanced machine learning and signal processing to deliver high-fidelity voice isolation, audio enhancement and new listening experiences across consumer, enterprise and professional markets. We are looking for a Machine Learning Research Lead to guide strategy, research direction and hands-on development across multiple audio ML domains. You will lead a small, high-performing team of researchers and engineers, shaping the roadmap for new audio technologies used by thousands of people worldwide.

last updated 33 week of 2026