11 of 11 Remote Neural Network Jobs in the UK excluding London

these areas is essential. Essential Skills: .NET C# Mvc (Framewrk and/or Core) 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 More ❯

these areas is essential. Essential Skills: .NET C# Mvc (Framewrk and/or Core) 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 More ❯

these areas is essential. Essential Skills: .NET C# Mvc (Framewrk and/or Core) 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 More ❯

a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. Interview process This interview process will More ❯

trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages More ❯

trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages More ❯

will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of future Responsibilities: Develop in depth understanding of current and future ML workload More ❯

accelerator, GPU or CPU Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques Overall high-level knowledge of computer architecture, systems, and HW-SW co-design Ability to develop and work with large software systems in programming … help your application stand out: Experience with ML model design, optimization, and HW-SW co-development methodology ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms Adaptability to the fast-moving ML industry and willingness to learn new technology in a very dynamic environment In Return: Working on interesting new More ❯

image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D More ❯

image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D More ❯

improve their security. Extensive knowledge of AI technologies, including machine learning, deep learning, and neural networks. Solid understanding of cybersecurity principles, including encryption, authentication, access control, and network security. Experience with security frameworks and standards such as ISO 27001, NIST, and GDPR. Demonstrated experience in conducting risk assessments, threat modelling, and security audits. Excellent leadership, communication, and More ❯