8 of 8 Permanent Anomaly Detection Jobs in the South West

such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. … such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. ...

Build and optimize monitoring, observability, and alerting capabilities using tools such as Prometheus, Grafana, AppDynamics, and Splunk. Apply AIOps capabilities to improve event correlation, anomaly detection, root cause analysis, predictive insights, and proactive issue prevention. Partner with engineering, infrastructure, production support, security, and risk teams to ensure ...

regulated, financial, energy or other business‐critical technology environment. Experience applying AI‐assisted tools safely for code review, vulnerability triage, log analysis, anomaly detection, documentation, or security automation. Academic degree in cyber security, computer science, or a comparable field. Proficiency in spoken and written German. ...

emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing … resiliency, and auditability expectations. Preferred Qualifications, Capabilities, and Skills: Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale. Experience partnering with Red/Purple Teams to simulate attacks and actively ...

governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into actionable insights. Prototype and assess new architecture methods, tools ...

TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification The below criteria will be scored during Shortlisting ...

Drive platform adoption across Kingfisher banners. Setup and operate platform governance that safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities. Line manage multiple Product Owners. Develop product practices within the product teams. Activities I do to deliver my role: Translate enterprise strategy into … ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform capabilities support continuous monitoring, anomaly detection, chargeback reduction, and loss prevention. Provide structured updates to senior stakeholders and governance forums. Monitor platform performance, risks, costs and scalability ...

policy, you will tackle maritime and security problems using time series and image/video data, building and evaluating ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. You will collaborate with developers to integrate outputs into user-facing features and enable ...