Industrial Systems Deployment Lead - Digital Twin & Edge

Industrial Systems Deployment Lead - Digital Twin & Edge

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead deployment of cutting-edge industrial systems and integrate real-time data for seamless operations.
  • Company: Alpha Machines, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Join a pioneering team and shape the future of industrial technology.
  • Qualifications: 5+ years in industrial systems, strong Python skills, and experience with OT protocols.

The predicted salary is between 60000 - 80000 £ per year.

Alpha Machines in London seeks a Lead Industrial Systems and Deployment Engineer to bridge factory floors with AlphaOS. You’ll own end-to-end deployment at customer sites, design OT/IT integration layers and real-time data paths for a unified operational picture.

Ideal candidates have:

  • 5+ years in industrial systems
  • Fluency with OT protocols
  • Hands-on experience with platforms like Palantir Foundry or Siemens MindSphere
  • Strong Python and edge compute skills

Industrial Systems Deployment Lead - Digital Twin & Edge employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Industrial Systems Deployment Lead - Digital Twin & Edge

Problem-Solving Skills
Communication Skills
Python
Data Engineering
SQL
ETL/ELT Processes
Data Pipeline Development