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Design & Digital Technology

AI and Machine Learning Engineer

Also called AI Developer, ML Engineer .
Image
A person is sitting at a desk, working on AI coding for machine learning.

Role overview

Job Title

AI and Machine Learning Engineer

Purpose Of The Role

The AI and Machine Learning Engineer develops intelligent systems that can learn from data and make predictions or decisions, helping organisations improve efficiency, automation, and innovation.

Role In MMC

AI and Machine Learning Engineers contribute to MMC by building predictive models for construction planning, optimising design and logistics using data-driven insights, and enhancing automation in both digital and physical processes—such as robotics, quality control, and assetmanagement.

Knowledge & Skills

Modern Methods of Construction is continuously expanding; with many transferable skillsets.

Fundamental Skills

Basic essential skills

  • Digital & Technology
  • Data Analysis & Reporting
  • Software Development

Additional MMC Skills

Specialised MMC skills

  • Integration with Digital Twins
  • Automation & Robotics

Universal Skills

Transferable or soft skills

  • Communication & Collaboration
  • Continuous Improvement

Suggested Entry Routes

Education

  • Degree in Computer Science, Data Science, Mathematics, Engineering, or related field.
  • Postgraduate degrees (MSc/PhD) in Machine Learning or Artificial Intelligence are beneficial but not essential.

Experience

  • Roles in data science, software development, or analytics.
  • Experience in applying models to real-world datasets or building data pipelines.

Training & Certifications

  • Hands-on coding bootcamps in data science or AI.
  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning – Specialty
  • IBM Machine Learning Professional Certificate

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