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Audio AI & Digital Signal Processing Engineer, swindon, wiltshire

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Client:

Blue Signal Search

Location:

swindon, wiltshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Title: Audio AI & Digital Signal Processing Engineer

Company Overview:

Our client is an innovative leader in AI-driven audio technology, pioneering advancements in digital signal processing (DSP) and generative AI. With a cutting-edge approach to watermarking, forensic analysis, and sound synthesis, this company is shaping the future of audio authenticity and AI-powered content creation. Their rapidly growing team collaborates with some of the biggest names in the entertainment, media, and technology sectors.

The Opportunity:

We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications.

Key Responsibilities:

• Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction.
• Design and train generative AI models to create, process, and analyze audio content.
• Implement and refine AI-based forensic audio analysis and watermarking techniques to ensure authenticity and attribution.
• Collaborate with interdisciplinary teams to manage and preprocess large datasets for AI training.
• Optimize model performance for real-time inference and scalability in production environments.
• Stay at the cutting edge of research and technological advancements in audio AI, DSP, and machine learning.
• Provide technical leadership and mentorship to junior engineers and research teams.

Required Qualifications:

• Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field.
• Strong background in digital signal processing (DSP) and machine learning applied to audio.
• Proficiency in programming languages such as Python, C++, and MATLAB.
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
• Understanding of real-time and embedded audio processing techniques.
• Experience working with generative AI models for audio synthesis and transformation.
• Strong problem-solving skills with the ability to implement robust, efficient, and scalable solutions.
• Excellent communication and collaboration skills in cross-functional environments.

Preferred Experience:

• Expertise in neural network architectures and generative adversarial networks (GANs) for audio applications.
• Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI.
• Experience with cloud-based AI/ML infrastructure for training and deployment.
• Background in audio engineering, acoustics, or music technology.

Why Join Us?

• Be part of a high-impact, high-growth team driving innovation in AI-driven audio technology.
• Collaborate with top-tier professionals in AI, audio engineering, and digital media.
• Work on groundbreaking projects with direct applications in music, entertainment, and security.
• Enjoy flexible remote work arrangements with opportunities for travel and collaboration.
• Competitive compensation package, including salary, performance bonuses, and potential equity.

This is more than just an engineering role—it's an opportunity to influence the future of AI-powered audio solutions. If you're passionate about audio technology, machine learning, and creating cutting-edge solutions, we want to hear from you.

About Blue Signal:

Blue Signal is a leading executive search firm, specializing in engineering recruitment. Our engineering recruiting team has expertise placing high-performing talent in areas such as electrical, mechanical, civil, and telecom engineering. Learn more at bit.ly/46IAFRJ