2 of 2 DemandTrendPermanent Geospatial Data Jobs in Tunbridge Wells

Job Title: Computer Vision Engineer Location: Tunbridge Wells - Hybrid About us: VisionTrack is a multiple award winning IOT, high throughout/big data insurance telematics & video solution. Role: We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve … WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN’s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a … CI/CD working/best practices. Automation first approach. TeamCity, Octopus Deploy Git, including GitFlow & Pull Requests/Peer Reviews. ReactJs, Jest, ESLint, Sinon, Npm, Webpack Working with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/ More ❯

Job Title: Computer Vision Engineer About us: VisionTrack is a multiple award winning IOT, high throughout/big data insurance telematics & video solution. Role: We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve working in all areas …/face/pedestrian detectin and tracking Activity Recgnition Camera Calibratin 3D stere, SLAM or Depth estimation from video Proficient in Linux Experience with Docker Experience with large-scale data sets Proficient with open source machine learning platforms such PyTorch or Keras/tensorflow. Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast … wide range of cameras or camera agnostic solutions. DevOps CI/CD working/best practices. Automation first approach. Git, including GitFlow & Pull Requests/Peer Reviews. Working with Geospatial data. Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. Publication in Computer vision or machine learning topics More ❯