5 of 5 Anomaly Detection Jobs in Hampshire

product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform ...

SIEM) Proven ability to deploy and manage Elastic SIEM, including endpoint security integration. Expertise in using security data (logs, events) to create custom detection rules, conduct threat hunting, and report … security posture and compliance. OR Elasticsearch for large-scale data management Deep experience with at least two of the following: Machine Learning (ML) for anomaly detection; Cross-Cluster Replication (CCR) for disaster recovery/HA; Searchable Snapshots/Cold/Frozen Tiers for cost optimization; or advanced ...

SIEM) Proven ability to deploy and manage Elastic SIEM, including endpoint security integration. Expertise in using security data (logs, events) to create custom detection rules, conduct threat hunting, and report … security posture and compliance. OR Elasticsearch for large-scale data management Deep experience with at least two of the following: Machine Learning (ML) for anomaly detection; Cross-Cluster Replication (CCR) for disaster recovery/HA; Searchable Snapshots/Cold/Frozen Tiers for cost optimization; or advanced ...

SIEM) Proven ability to deploy and manage Elastic SIEM, including endpoint security integration. Expertise in using security data (logs, events) to create custom detection rules, conduct threat hunting, and report … security posture and compliance. OR Elasticsearch for large-scale data management Deep experience with at least two of the following: Machine Learning (ML) for anomaly detection; Cross-Cluster Replication (CCR) for disaster recovery/HA; Searchable Snapshots/Cold/Frozen Tiers for cost optimization; or advanced ...

inference APIs Contribute to internal governance efforts for responsible AI and security policy alignment Ensure AI implementations comply with organizational and regulatory standards Guide anomaly detection, logging, and incident response for AI behaviors Monitor evolving AI threats and continuously improve internal architecture patterns Share knowledge and mentor ...