Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe. The perks A flexible environment that allows 1-2 days of remote working per week. 28 days holiday + a competitive pension More ❯
Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, Machine Learning Tools and Libraries such as Matlab, Simulink, Python, C/C++, Py Torch, Open AI-Gym/Universe, Model based design Experience of algorithm research and/or product development and support A keen curiosity about innovative More ❯
of Continuous Integration (CI) pipelines. Complex deployments on AWS. Docker or comparable containerization technologies. Nice to have experience: Experience using numpy/pandas/torch/etc. Experience with Golang. Our salary range for the role is £70,000 to £130,000, depending on experience and interview performance. List More ❯
of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time efficiency at training and inference times. More ❯
of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time efficiency at training and inference times. More ❯
them. Good understanding of docker and containerization. (Good to have) Experience with Pytorch and Python3, and comfortable with C++. (Good to have) Understanding of Torch script, ONNX runtime, TensorRT. (Good to have) Understanding of half-precision inference and int8 quantization. What we offer Company equity % in an early-stage More ❯
them. Good understanding of Docker and containerization. (Good to have) Experience with Pytorch and Python3, and comfortable with C++. (Good to have) Understanding of Torch script, ONNX runtime, TensorRT. (Good to have) Understanding of half-precision inference and int8 quantization. What we offer Company equity % in an early-stage More ❯
