Senior Machine Learning Engineer

3 days ago

Greater London, United Kingdom IC Resources Full time

Senior Machine Learning Research Engineer – Speech/Audio/Generative AI at IC ResourcesJoin an established R&D group expanding their AI research team. We need a Senior Machine Learning Research Engineer with expertise in speech, audio, and generative AI to contribute to cutting‑edge research deployed across large‑scale consumer products, from concept to production.ResponsibilitiesResearch, 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 with modern software engineering practices.Collaborate 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 SkillsMSc or PhD in Computer Science, Machine Learning, Signal Processing, Engineering, Mathematics, or a related field.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 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 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, apply now Otherwise, if you’re interested in any other positions within AI/ML and Computer Vision, reach out to Oscar Harper at IC Resources. #J-18808-Ljbffr

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