My client a leader in their field are on the lookout for an Audio Machine Learning Data Engineer to join their expanding team! In this role, you will leverage your expertise in audio processing, acoustics, and Python programming to develop innovative audio solutions. Working closely with machine learning engineers, manage third-party vendors, and contribute to building new, disruptive AI-driven audio technologies.

Key Responsibilities:

• Apply advanced audio processing techniques, including FIR/IIR filtering and convolution.
• Develop Python-based tools for manipulating audio files, building functions, and creating classes.
• Interpret and communicate audio specifications (e.g., sample rate, bit-depth, and acoustic environment) to third-party vendors.
• Collaborate with machine learning engineers to define and meet data needs for diverse audio datasets.

Key Qualifications:

• Expertise in digital audio processing and Python programming.
• Strong understanding of acoustics, including RT60, Clarity, STI, and DRR.
• Hands-on experience with audio recording, hardware, and microphone types.
• Familiarity with machine learning concepts and their application in audio processing.
• Knowledge of open-source audio repositories (e.g., TIMIT, MUSAN).

Education:

• A BSc, MSc, or PhD in Audio Engineering, Acoustics, or equivalent expertise.

If you are an Audio Machine Learning Data Engineer looking for a new opportunity, please do get in touch asap for a confidential discussion!

Audio Machine Learning Engineer - Permanent - Hybrid - Slough - £65-95k