Chelmsford, England, United Kingdom Hybrid / WFH Options
Anson McCade
ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas : o Multi-modal data fusion or time series analysis o Uncertainty quantification or probabilisticmodelling o Active learning, explainable AI, or online learning o Geospatial data analysis or sensor-based modelling • Experience preparing technical deliverables and engaging with stakeholders Why Apply More ❯
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Anson Mccade
experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilisticmodelling Active learning, explainable AI, or online learning Geospatial data analysis or sensor-based modelling Experience preparing technical deliverables and engaging with stakeholders Eligible for SC Clearance More ❯
Chelmsford, England, United Kingdom Hybrid / WFH Options
Anson Mccade
experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilisticmodelling Active learning, explainable AI, or online learning Geospatial data analysis or sensor-based modelling Experience preparing technical deliverables and engaging with stakeholders Eligible for SC Clearance More ❯
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Anson Mccade
experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilisticmodelling Active learning, explainable AI, or online learning Geospatial data analysis or sensor-based modelling Experience preparing technical deliverables and engaging with stakeholders Eligible for SC Clearance More ❯
other participants of the "AI Hub in Generative Models" (UCL , Oxford, Imperial, Edinburgh, Cardiff, Manchester and Surrey) and with its industrial partners. Key responsibilities include working on deep learning, probabilisticmodelling, deep generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and networking with colleagues More ❯