1 to 8 of 8 Permanent Anomaly Detection Jobs in the UK

various services. Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to business use cases. Apply advanced analytics to business scenarios such as pricing, CLV (including more »

as GPT-3, DALL-E, CLIP, or others. Familiarity with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, anomaly detection, natural language processing, computer vision, and deep learning. Experience with data visualization and storytelling tools and techniques. Excellent communication, collaboration, stakeholder more »

AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform s anomaly detection and predictive analytics capabilities. System Integration: Collaborate with the engineering team to integrate computer vision solutions with existing systems and infrastructure … computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision more »

AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform's anomaly detection and predictive analytics capabilities. System Integration: Collaborate with the engineering team to integrate computer vision solutions with existing systems and infrastructure … computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision more »

opportunities, and forecasting energy market trends. Continuously refine and optimize existing models for improved accuracy, interpretability, and computational efficiency. Implement mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine more »

data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and more »

projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift more »

management systems. Develop tools for real-time risk assessment, scenario analysis, and stress testing. Implement machine learning algorithms to enhance predictive risk analytics and anomaly detection. Collaboration and Communication: Work closely with front office traders and portfolio managers to understand their risk management needs and provide technical solutions. Liaise more »