academic publications Excellent written and verbal communication skills The following skills are optional but desirable: Experience with Graph based algorithms such as Graph NeuralNetworks Working with knowledge graphs and graph databases Experience in a healthcare related field such as cell simulation, bio-informatics or genomics Achieve together more »
/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURALNETWORKS/CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE 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 »
AI/Python/Data scientist/Machine Learning Engineer/NeuralNetworks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 Bonus Projects: NeuralNetworks, NLP, Machine Learning … with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on NeuralNetworks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR …/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied NeuralNetworks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, 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 NeuralNetworks 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 NeuralNetwork 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 »
with numerous publications at prestigious conferences. As a Research Engineer, you'll collaborate globally to tackle complex deep learning challenges, focusing on graph neuralnetworks and pioneering new foundation models in healthcare. The Impact Your research will directly contribute to real-world applications with a profound social impact more »
particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neuralnetworks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and application of neural networking techniques. Desirable Requirements: - Ability to more »
benefit of the team. QUALIFICATIONS A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. Proven experience in deep learning, neuralnetworks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity … Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , NeuralNetworks , NLP , United Kingdom #J-18808-Ljbffr more »