Senior Machine Learning Engineer

I am working with an established R&D group who are expanding their AI research team and seeking a Senior Machine Learning Research Engineer with strong expertise in speech, audio, and generative AI. This is an opportunity to contribute to cutting-edge research that will be deployed across large-scale consumer products, working end-to-end from concept development through to production.

The team is building next-generation machine learning systems for audio understanding, speech processing, and on-device intelligence. You will work on high-impact research projects while collaborating closely with experienced ML engineers and scientists.

The role

As a Senior ML Research Engineer, You Will

• Research, design, and develop novel algorithms for speech, audio and generative AI
• Build and optimise ML models for real-world deployment, including mobile or embedded environments
• Lead technically significant components of complex research projects.
• Deliver clean, well-structured and well-documented code following modern software engineering practices
• Work closely with cross-functional teams, providing technical leadership and guidance when required
• Identify challenges proactively and drive solutions from prototype through to production
• Contribute to internal tooling, infrastructure, and scalable training/evaluation pipelines
  
  

Required Skills

• MSc or PhD in Computer Science, Machine Learning, Signal Processing, Engineering, Mathematics, or similar
• Strong professional experience in Python for ML development (C++/Java/Kotlin beneficial but not essential)
• Deep understanding of machine learning and deep learning fundamentals (architectures, optimisation, evaluation)
• Solid track record in speech/audio processing, e.g. ASR, TTS, speech enhancement, audio analysis, NLP-audio interfaces, etc
• Experience with PyTorch or TensorFlow
• Strong engineering fundamentals: Git, CI/CD, testing, code quality, agile workflows
• Ability to take research concepts through to production-ready implementations
• Strong communication and collaboration skills
  
  

Desirable Skills

• Experience with Generative AI applied to audio or speech (diffusion, autoregressive models, speech synthesis, voice conversion etc.)
• Publications in relevant ML/AI/Signal Processing conferences or journals
• Experience with open-source toolkits such as SpeechBrain, ESPnet, Hugging Face, NeMo, Kaldi
• Experience deploying ML models to mobile platforms
• Knowledge of large-scale or distributed training pipelines
• Experience with cloud platforms (AWS, GCP or Azure)
  
  

If you’re interested in this position and have the relevant experience, then apply now! Otherwise, if you’re interested in any other positions within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources.