51 to 64 of 64 Anomaly Detection Jobs in the UK excluding London

experience with R and/or Python Solid understanding of core methods: classification, regression, forecasting, clustering, nearest neighbour, neural networks, embeddings, dimensionality reduction and anomaly detection Strong statistical knowledge and the ability to translate complex findings for non‐technical audiences Experience delivering end‐to‐end data science ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

working with customers or external technical stakeholders A relevant STEM degree or equivalent technical experience Knowledge of lithium-ion degradation, battery ageing, state estimation, anomaly detection, remaining useful life prediction or battery safety Experience with battery fleets, telematics, cloud analytics, predictive maintenance, condition monitoring or field performance ...

Postdoctoral Researcher to advance ML/AI methods for operational science. You will prototype ML/AI solutions for observation scheduling, data quality, anomaly detection, and user support, within a globally distributed team. The role requires a PhD (or near submission) in relevant fields and strong communication ...

operate, test and evidence to regulators. Strengthen clients’ ability to withstand and recover from destructive cyber events — embedding recovery testing, threat-led exercising and anomaly detection so that recoverability is proven, not assumed. Build Deloitte’s external eminence in resilience and recovery: authoring published points of view ...

validation into Azure DevOps and GitHub pipelines. Develop monitoring-as-code and testing-as-code using Terraform. Create actionable dashboards, SLOs, SLIs, alerts and anomaly detection. Drive reliability improvements, performance investigations and root-cause analysis. What we're looking for Strong hands-on Datadog experience across Synthetic Monitoring ...

automation and proactive service management. Enable AI-assisted development, code review and testing through build-with and build-for principles. Advance AI-driven observability, anomaly detection, predictive incident management and AI Operations. Token Economics and Operational Governance Partner with EAI on token economics on shared EAI tooling ...

Heads of Infrastructure. A deep, practical understanding of modern IT operations, including: Observability and monitoring, including event, metric and log correlation. AIOps: noise reduction, anomaly detection and predictive operations. Discovery, service mapping and configuration management (CMDB). Incident, problem and change practices, with ITIL 4 or equivalent. ...

large-scale transportation networks. Research may encompass multi-camera tracking and re-identification, geo-spatial mapping, 3D scene understanding, multimodal vision-language models, traffic anomaly detection, and explainable AI reasoning. A key objective is to enable AI systems that can not only detect what is happening ...

detail, self-motivated, and the ability to work well with people are essential Essential Criteria: 5+ years Java in production services Hands-on statistical anomaly detection: distribution divergence, robust z-scores, EMD, baseline/drift methods Unsupervised methods (Isolation Forest or similar) and their evaluation without labels ...

Commercial instinct: you talk in outcomes and recommend actions. A clear communicator who makes data easy for everyone. Desirable Experience building automated monitoring or anomaly detection is a big plus. Familiarity with mobile attribution and ad data. Why Kwalee? Generous Holiday: Start with 25 days of annual ...

drive AI initiatives within the OneStream platform. The AI Product and Engineering team bridges AI research and products, focusing on time series forecasting, anomaly detection, and NLP to deliver tangible value for end users. The role involves designing scalable AI solutions, implementing robust systems, and collaborating with ...

pollution before they happen, protecting communities and reducing costs. We are the market leader in this space. At its core, StormHarvester's advanced anomaly detection system analyses data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions. Key Responsibilities Create engaging utility ...