AI Voice Synthesis Developer Full Time

Role:                    AI Voice Synthesis Developer

Location:            Cambridge –  Some remote working available.

Salary:                 £55k – £70k

We’re seeking an exceptional AI Voice Synthesis Developer to join an innovative start-up. The ideal candidate will combine deep technical expertise in text-to-speech (TTS) systems with a passion for creating efficient, production-ready solutions that push the boundaries of what’s possible in voice synthesis.

Key Responsibilities

• Design and implement low-latency TTS systems optimised for minimal computing resources
• Develop and optimise AI models for real-time voice synthesis
• Create efficient architectures that balance quality, speed, and resource utilisation
• Collaborate with team members to integrate voice synthesis capabilities into our products
• Research and implement state-of-the-art techniques in speech synthesis
• Contribute to technical architecture decisions and product strategy

Skill Required

• Strong programming skills with demonstrated experience in AI/ML frameworks (PyTorch, TensorFlow)
• Expertise in speech processing, digital signal processing, and audio engineering
• Advanced Python programming
• Experience with Azure
• Proficiency in real-time audio processing with target latency
• Experience optimising models for edge deployment
• Knowledge of audio compression techniques and format
• Familiarity with audio quality metrics
• Experience with audio processing libraries
• Proficiency in version control (Git) and CI/CD pipelines
• Previous work on TTS systems (commercial or lab)
• Background in voice conversion or voice cloning technologies

AI/ML Platform Experience

• Experience with Groq for high-performance inference
• Familiarity with Deepgram’s API and speech-to-text capabilities
• Knowledge of large language model deployment and optimisation

Speech Technology Expertise

• Deep understanding of modern TTS architectures:
  • Non-autoregressive models (FastSpeech 2, Glow-TTS)
  • Autoregressive models (Tacotron 2, YourTTS)
  • Flow-based models (Flow-TTS, WaveFlow)
• Experience with vocoders:
  • HiFi-GAN
  • WaveNet
  • UnivNet
  • BigVGAN