10 of 10 Remote/Hybrid Neural Network Jobs in England

optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform ...

needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud ...

Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain Specific Signal Processing : Multi/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/ ...

decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and/or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc. You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch Ideally you will have an interest in the automotive sector ...

analytics into actionable insights. Strong technical skills with experience of DataBricks, Python & Radar. Hands-on experience building predictive models - GLMs, GBMs, Decision Trees & Neural Nets. A confident communicator who can influence at all levels. Self-driven, innovative, and ready to make an impact. At Ageas we offer ...

large, intricate datasets. Nearly hundreds of global partners rely on this platform to make confident automated decisions informed by advanced forecasting and deep neural networks. Here your work won't sit in a research silo, your models will directly influence sophisticated, live operational systems. The environment values intellectual … deep learning - demonstrated through publications in top-tier journals and conferences (NeurIPS, ICML, ICLR, JMLR, etc.). Strong experience with neural network models applied to time series, dynamic forecasting, and complex sequential tasks. Industry experience implementing and refining forecasting systems in production. Proficiency in modern ML frameworks ...

large, intricate datasets. Nearly hundreds of global partners rely on this platform to make confident automated decisions informed by advanced forecasting and deep neural networks. Here your work won’t sit in a research silo, your models will directly influence sophisticated, live operational systems. The environment values intellectual … deep learning - demonstrated through publications in top-tier journals and conferences (NeurIPS, ICML, ICLR, JMLR, etc.). Strong experience with neural network models applied to time series, dynamic forecasting, and complex sequential tasks. Industry experience implementing and refining forecasting systems in production. Proficiency in modern ML frameworks ...

cross-functional teams to identify challenges and implement innovative solutions tailored to the organization’s needs. Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills ...

cross-functional teams to identify challenges and implement innovative solutions tailored to the organization's needs. Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills ...

Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development ...