Teams at The AA

Design, build, test, deploy, and operate production AI and machine learning systems using Python. Own solutions across the full lifecycle, including data preparation, evaluation, deployment, monitoring, optimization, and continuous improvement. Build generative AI, agent-based systems, backend services, APIs, and data pipelines using CI/CD, containerisation, cloud-native practices, and observability. Apply responsible AI principles and communicate technical decisions across cross-functional teams.

Analyze and triage vulnerabilities, exposures, and threat data; prioritize risks using exploitability, asset criticality, threat intelligence, and business context. Track remediation through resolution, coordinate with technical teams, support attack surface management, identify trends, and produce clear risk reporting. The role also supports cybersecurity operations and continuous improvement of vulnerability and exposure management processes.

Manages real-time visibility into technology health, performance, and activity across digital customer journeys. Uses monitoring, telemetry, and operational data to identify anomalies, risks, and performance issues, translating technical findings into customer and commercial impacts. Coordinates Engineering, Product, Service, Data, and Commercial teams during incidents and root-cause investigations. Develops dashboards, alerting, analysis, and automation to improve resilience, prioritization, and continuous improvement.