Machine Learning Engineer - West London (6 Months)

This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem‑solving skills. Demonstrated ability to translate research ideas into practical, production‑ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top‑tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open‑source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large‑scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP). #J-18808-Ljbffr