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Lead Industrial Systems and Deployment Engineer at Alpha Machines

Alpha Machines is re-industrialising Europe by building the critical infrastructure for the physical AI economy. Led by repeat unicorn founders, they are seeking a Lead Industrial Systems and Deployment Engineer to bridge the gap between the factory floor and their AlphaOS AI platform. You will lead high-stakes international deployments, architecting the OT/IT layers and digital-twin schemas that connect real-world machines to intelligent systems. This is a rare founding-team opportunity to work on power electronics for aerospace and robotics while defining the deployment standards for the world’s most advanced factories.

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Alpha Machines

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Location

London, United Kingdom

Compensation

Not Disclosed

Company

Alpha Machines

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Role overview

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.

AI for Manufacturing

Alpha Machines is building critical infrastructure for the physical AI economy. We are a team of engineers, builders and repeat (unicorn) founders, who believe that the moment has come for Europe to re-industrialise

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.

Who this is a fit for

  • 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.

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.

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