2 of 2 Deep Learning Jobs in Oxford

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound … framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason More ❯

to industrial automation, they design, build, and integrate machine vision systems for some of the world's biggest manufacturers. You'll be part of a highly skilled engineering team, learning and applying your knowledge to deliver end-to-end machine vision solutions across a variety of industries. What you'll do: Learn and develop expertise with machine vision hardware … verbal. Comfortable working independently and as part of a team. Full UK driving licence. It'd be great if you also had: Experience with machine vision, image processing, or deep learning. Knowledge of cameras, optics, lighting, and related technologies. Background in manufacturing or industrial automation environments. About Us: At Thomas Lee Recruitment, we specialise in connecting engineers and technical More ❯