Remote R Jobs in Cambridge

3 of 3 Remote R Jobs in Cambridge

Data Scientist

Cambridge, Cambridgeshire, United Kingdom
Hybrid / WFH Options
Tec Partners
A strong academic background with a degree in Computer Science or a related field Proficiency with a data focused coding language such as Python, R or SQL Experience using ML frameworks including TensorFlow and PyTorch The ability to work individually and within a team Strong written and verbal communication skills More ❯
Employment Type: Permanent
Salary: £60000 - £70000/annum
Posted:

AI Evaluation Scientist

Cambridge, Cambridgeshire, England
Hybrid / WFH Options
Cambridge University Press & Assessment
experience of evaluating AI models using a range of methods, including methods relating to the domain of explainable AI. Proficiency in either Python or R for conducting complex statistical analyses (Python preferred). An ability and willingness to learn and apply new statistical approaches for addressing particular evaluation challenges. An More ❯
Employment Type: Permanent
Posted:

Postdoctoral Scientist, Artificial Intelligence for Medical Imaging

Cambridge, Cambridgeshire, United Kingdom
Hybrid / WFH Options
Johnson & Johnson
case-by-case basis and if approved by the Company. The AI/Machine Learning and Digital Health team within Johnson & Johnson Innovative Medicine R&D designs cutting-edge insights and solutions employing various data sources across multiple disease areas. We are in search of an exceptional postdoctoral scientist with … in computer vision, including the application and development of AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD … Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB). Experience with various machine learning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and More ❯
Employment Type: Permanent
Salary: GBP Annual
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