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., 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

• 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)