Lead Industrial Systems and Deployment Engineer at Alpha Machines

Company: Jack & Jill
Apply for the Lead Industrial Systems and Deployment Engineer at Alpha Machines
Location: London
Job Description:

Job Title

Lead Industrial Systems and Deployment Engineer

Salary

Not Disclosed

Company Description

Alpha Machines is a London-based startup building critical infrastructure for the physical AI economy, founded by repeat unicorn founders to re-industrialise Europe through advanced power electronics and the AlphaOS AI platform.

Job Description

As a founding-team member, you will bridge the gap between physical factory floors and AlphaOS. You’ll lead the deployment of critical OT/IT integration layers, architecting digital-twin schemas and real-time data ingestion paths. Your work ensures Alpha Machines’ AI platform can reason over complex industrial environments, starting with high-stakes international deployments.

Location

London, UK

Why this role is remarkable

  • Join a founding team of repeat unicorn founders building the hardware and software backbone for Europe’s re-industrialisation.
  • Lead high-impact, real-world deployments at customer sites, turning raw shop-floor data into actionable intelligence for the physical AI economy.
  • Influence the core architecture of AlphaOS, defining the digital-twin standards and deployment playbooks for the world’s most advanced factories.

What You Will Do

  • Own the end-to-end deployment of AlphaOS at customer sites, managing network design, OT/IT segregation, and live data ingestion.
  • Build robust integration layers connecting PLCs and machine controllers via OPC-UA, Modbus, and MQTT to create a unified operational picture.
  • Architect the time-series data path from edge gateways to cloud models, ensuring high reliability and low latency for mission-critical industrial applications.

The ideal candidate

  • Has 5+ years of hands-on industrial systems experience with platforms like Palantir Foundry, Siemens MindSphere, or Cognite Data Fusion.
  • Demonstrates fluency in OT protocols and PLC stacks alongside strong Python and edge compute engineering skills for real-time environments.
  • Possesses a degree in Engineering or CS from a top university and thrives in high-stakes environments where hardware meets software.

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Posted: July 6th, 2026