4 of 4 Remote/Hybrid Neural Network Jobs in the UK excluding London

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/ ...

machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. ...

within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient ...

appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when … have full rights to work in the UK without any restrictions. Keywords: Start-Up, Life Sciences/Biotech, Python, Platform Development, Machine Learning, Neural Networks, Data Science, Cambridge Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...