1 to 11 of 11 Neural Network Jobs in the UK excluding London

Performance Tools Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise … CPU. However, in AI accelerator domain, the performance model has often been taken lightly due to the regular computation patterns of neural network models. However neural network models are getting bigger and much more complex every month, and it became almost impossible to estimate more »

testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »

Advanced degrees in fields such as engineering, mathematics, physics, or statistics. Background in data science within finance, insurance, or eCommerce sectors. Experience with neural networks and tools like TensorFlow, CatBoost, XGBoost, SKlearn, and Pandas. Benefits: Competitive salary. 25 days annual leave, plus additional company-specific days. 4-week more »

whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use Graph Neural Networks for healthcare related applications. We have a strong preference for the development of AI techniques that can be applied in the real … world and that directly contribute to social good. Your role will involve: The development of new state-of-the-art Graph Neural Network techniques to be applied to large scale data coming from healthcare applications Implementation of these techniques into proof-of-concept code and demonstrations that more »

Youll Be Doing: Designing and implementing logistics algorithms using Python, focusing on efficiency, scalability, and understanding business requirements. Build and integrate neural network models to forecast and enhance logistic operations. Maintain and improve existing logistic models, ensuring robustness and performance What Skills Do You Need to Succeed more »

academic publications Excellent written and verbal communication skills The following skills are optional but desirable: Experience with Graph based algorithms such as Graph Neural Networks Working with knowledge graphs and graph databases Experience in a healthcare related field such as cell simulation, bio-informatics or genomics Achieve together more »

sport, animation tools and techniques. Relevant conference, journal, or other peer-reviewed output. Familiarity with GPU techniques for image processing and implementation of neural networks. Familiarity with C++. more »

transform businesses and society. They are currently looking for a researcher in their Computing Research Group, working on exploring how to use Graph Neural Networks for healthcare related applications. They have a strong preference for the development of AI techniques that can be applied in the real … world and that directly contribute to social good. Your role will involve: The development of new state-of-the-art Graph Neural Network techniques to be applied to large scale data coming from healthcare applications Implementation of these techniques into proof-of-concept code and demonstrations that more »

experience working with Artificial Intelligence technologies. 2. At least three publications related to artificial intelligence or cyber security domains. 3. Experience designing deep neural networks architectures. 4. Digital security experience in relevant digital security specialist area. 5. A BSc degree in Computer Science with Artificial Intelligence/Machine … about statistical methods used often by Data Scientists. Additionally, a strong background in Security Architecture, Cyber Forensics and Incident Response, Industrial Control Cyber Security, Network Security, Cloud Security, Cryptography, Security Monitoring, Cyber Risk Management, and Secure Software Development is a must. Sector: Information Technology/Research and Development Conclusion more »

particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and application of neural networking techniques. Desirable Requirements: - Ability to more »

the following technical fields: Telecommunications, Computer Systems or other similar subject , with knowledge of one or more of the following: the air interface, core network, MIMO, small cell arrangements and network slicing in LTE and 5G, Wi-Fi network protocols and operation, cryptography or encryption, network security, quantum computing, computational physics, neural networks, virtualised and cloud computing, fault-tolerant computing, hardware design or database technologies. Working Location: This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to attend the office 1 day per week … be found via theCivil Service Pension Scheme Eligibility for special and office-wide bonus payments. The opportunity to form part of our many inclusive network groups, find out by looking atDisability Jobs,BME JobsandLGBT Jobs A variety of support functions including our excellent Staff Counselling Service which is a more »