Senior IoT Data & AI Engineer: Predictive Analytics Lead

The Airedale Group

Bradford

Hybrid

GBP 70.000 - 100.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

23 days + bank holidays
Performance Bonus
Westfield Healthcare
Life assurance x 2

Zusammenfassung

The Airedale Group is expanding its Lighthouse IoT platform for commercial kitchens across the UK. We seek a Senior IoT Data & AI Engineer to turn analysis into running systems, building data pipelines, predictive models, and automated reporting.

You will collaborate with the CTO and an IoT data analyst to deliver early failure detection and robust insights in a small team. You will implement end-to-end data solutions, ensure customer data isolation, and industrialize reporting for scale while

Qualifikationen

  • Strong Python and SQL, with production experience building data pipelines.
  • Hands-on experience with time-series, sensor or telemetry data at scale.
  • Applied anomaly detection or predictive modelling taken into production.
  • Practical experience building with LLM APIs beyond chat use.
  • Self-directed and adaptable, able to own delivery end-to-end.
  • Able to explain technical work clearly to non-technical colleagues.

Aufgaben

  • Take anomaly detection work from PoC into production across the estate.
  • Build validation loop linking alerts to engineer findings to measure detection accuracy.
  • Develop a failure-signature library from telemetry and service history.
  • Tune alerting to stay actionable and avoid noise.
  • Own data flow from ThingsBoard to Microsoft Fabric for ingestion and archiving.
  • Publish analytics outputs to customer portal via APIs.

Kenntnisse

Python
SQL
Time-series data
Anomaly detection
Predictive modelling
LLM APIs
Communication

Tools

Microsoft Fabric
Databricks
Azure Synapse
dbt

Jobbeschreibung

The Airedale Group is expanding its Lighthouse IoT platform for commercial kitchens across the UK. We seek a Senior IoT Data & AI Engineer to turn analysis into running systems, building data pipelines, predictive models, and automated reporting.

You will collaborate with the CTO and an IoT data analyst to deliver early failure detection and robust insights in a small team. You will implement end-to-end data solutions, ensure customer data isolation, and industrialize reporting for scale while

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