4 of 4 Remote Machine Learning Jobs in Ely

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

relational databases and writing SQL queries Core/Advanced Alteryx certification Understanding of cloud platforms (e.g., Microsoft Azure) Microsoft Power Platform Certifications Demonstrated interest in areas including Gen-AI, Machine Learning, and general data warehousing principals Additional Information As a colleague here at S&W you will have access to benefits that include Competitive salary Private medical insurance More ❯

their career and achieve future aspirations. They provide a stable and supportive environment. They are looking for a CUDA Kernel Developer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at an exciting time of growth for the company. You will … framework. What's required for a successful CUDA Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a CUDA Kernel Developer looking for a new opportunity within More ❯

exploration and identify and fix performance bottlenecks. You'll also be involved in workload analysis, to develop a deep understanding of the characteristics of workloads in the target market (machine learning, data analytics, graph analytics). They are looking for a passionate and dedicated person and in return, you'll get the opportunity to work in a fun … development skills Excellent understanding of GPU/CPU architecture and microarchitecture Knowledge of performance modelling concepts SIMT processing, cache and memory hierarchies Understanding of benchmarks and workloads in the ML space If you are a Principal Performance Modelling Engineer, looking for an opportunity to work in a flexible, creative environment, please apply to learn more! If you are interested in More ❯