Teams at Engineered Arts Ltd

Lead design and training of time-series foundation models for renewable energy data. Own architecture, tokenization, scaling estimates, training infrastructure, distributed training optimization, model registry, and fleet-scale deployment. Collaborate with backend, product, and data teams and document runbooks and validation protocols.

Build and own production data pipelines, canonical schemas, data quality gates, and dataset versioning for a fleet-scale multivariate time-series foundation model. Deliver inference APIs, platform integrations, shadow-validation pipelines, and operational observability while partnering with ML, platform, and frontend teams to support pilot customers and production rollout.

Own intake, investigation, and resolution of complex SCADA issues for Unity SCADA deployments. Triage tickets, escalate L3 issues, troubleshoot hardware/software/network interactions, collaborate with Delivery and Product teams, document solutions, and deliver training to expand SCADA support capability.