3 Machine Learning Engineer Jobs in Oxfordshire

Machine Learning Engineer I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking … research and the successful Machine Learning Engineer will work in a multidisciplinary team to understand the hardware architecture and develop ML models, simulation tools and benchmarking frameworks accordingly. Primary responsibilities Research, implement and optimise state-of-the-art machine learning algorithms to enhance model performance … Develop benchmarking frameworks Essential experience BSc, MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialised more »

Machine Learning Engineer I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking … research and the succesful Machine Learning Engineer will work in a multidisciplinary team to understand the hardware architecture and develop ML models, simulation tools and benchmarking frameworks accordingly. Primary responsibilities Research, implement and optimize state-of-the-art machine learning algorithms to enhance model performance … Develop benchmarking frameworks Essential experience BSc, MSc or PhD in Computer Science, EE, Mathematics or similar Minimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialized more »

/or industry experience. Experience Extensive experience solving computer vision problems – such as object detection and human pose estimation – with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. Demonstrated experience using leading-edge methods for modelling human and … novel techniques for extracting value (building insights) from multi-disciplinary high-fidelity and unstructured data. Examples of working with large spatio-temporal datasets, and machine learning expertise for solving time-series domain issues. Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development more »