Senior Machine Learning Engineer

4 days ago


London, United Kingdom IC Resources Full time

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 roleAs a Senior ML Research Engineer, You WillResearch, design, and develop novel algorithms for speech, audio and generative AIBuild and optimise ML models for real-world deployment, including mobile or embedded environmentsLead technically significant components of complex research projects.Deliver clean, well-structured and well-documented code following modern software engineering practicesWork closely with cross-functional teams, providing technical leadership and guidance when requiredIdentify challenges proactively and drive solutions from prototype through to productionContribute to internal tooling, infrastructure, and scalable training/evaluation pipelinesRequired SkillsMSc or PhD in Computer Science, Machine Learning, Signal Processing, Engineering, Mathematics, or similarStrong 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, etcExperience with PyTorch or TensorFlowStrong engineering fundamentals: Git, CI/CD, testing, code quality, agile workflowsAbility to take research concepts through to production-ready implementationsStrong communication and collaboration skillsDesirable SkillsExperience 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 journalsExperience with open-source toolkits such as SpeechBrain, ESPnet, Hugging Face, NeMo, KaldiExperience deploying ML models to mobile platformsKnowledge of large-scale or distributed training pipelinesExperience 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.



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