AI-Driven Predictive Maintenance Lead

Aston University

Grantham

On-site

GBP 26,000 - 32,000

Full time

6 days ago
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Benefits offered by this job

Personal development budget
25 days annual leave
Mentorship
Aston Wellbeing mental health support
Career development

Job summary

A Knowledge Transfer Partnership between Aston University and Genie UK Limited invites a motivated researcher to lead the development of an AI-driven predictive and prescriptive maintenance system for Genie’s LiftConnect platform. You will work on connected, partially connected and non-connected machines, turning telematics and sensor data into actionable maintenance intelligence.

You will deliver intelligent data-quality agents, transferable predictive models, prescriptive decision support, and

Qualifications

  • PhD in AI, ML, CS, data science or related field.
  • Experience with SQL, Power BI and cloud analytics environments.
  • Experience with PyTorch or TensorFlow and AWS SageMaker.
  • Ability to lead a technically complex project and engage stakeholders.

Responsibilities

  • Develop intelligent data-quality agents.
  • Build predictive models transferable across machine families.
  • Create prescriptive decision support and operational dashboards.
  • Ensure delivery of methodologies, documentation, training and workshops.

Skills

Time-series analysis
Probabilistic prediction techniques
ML model development
Project management

Education

PhD in AI/CS/Data Science

Tools

SQL
Power BI
AWS SageMaker
PyTorch
TensorFlow

Job description

A Knowledge Transfer Partnership between Aston University and Genie UK Limited invites a motivated researcher to lead the development of an AI-driven predictive and prescriptive maintenance system for Genie’s LiftConnect platform. You will work on connected, partially connected and non-connected machines, turning telematics and sensor data into actionable maintenance intelligence.

You will deliver intelligent data-quality agents, transferable predictive models, prescriptive decision support, and

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