Industrial Solutions Engineer
QiO Technologies Ltd
- London, England, United Kingdom
- London, England, United Kingdom
Über
QiO is seeking a hands‑on implementation specialist who thrives on the factory floor, wiring sensors, integrating industrial control systems and proving that AI can move production KPIs in the real world. As an IndustrialIoTSolutions Delivery Engineer, you will: Lead end‑to‑end deployment of QiO’s edge‑to‑cloud platform—from hardware installation and network configuration to model roll‑out and operator training. Integrate with diverse control‑system environments (Siemens, Rockwell, Schneider, Mitsubishi), ensuring secure data acquisition and closed‑loop optimisation. Execute pilots, benchmark energy‑ and uptime‑improvement, and guide customers through scale‑up across multiple lines or sites. Troubleshoot live systems, applying root‑cause analysis and structured problem‑solving (8D, DFSS) to guarantee sustained performance. Capture field insights and feed them back to Product & Engineering, accelerating roadmap cadence and deployment toolkits. Key Responsibilities: Field Deployment & Integration
Plan site readiness, supervise installation of gateways, sensors and comms infrastructure; commission edge devices running Docker/K3s micro‑services. Configure data pipelines via OPCUA, Modbus/TCP, EtherNet/IP; validate timestamp fidelity and historian mapping. Implement secure network zones, firewalls and VPN tunnels between OT and cloud per IEC62443 best practice.
Pilot Execution & Performance Tuning
Collect baseline metrics, apply QiO optimisation models, and verify energy/OEE improvements against target savings. Work with data‑science team to retrain or fine‑tune models when process drift or seasonality is detected.
Production Roll‑out & Support
Develop automated deployment scripts (Ansible, Terraform, Helm) and CI/CD pipelines for repeatable multi‑site roll‑outs. Provide tier‑2/3 support, incident post‑mortems and preventive maintenance recommendations based on platform insights.
Customer Enablement & Documentation
Deliver operator training, build SOPs and quick‑reference guides; ensure site teams can interpret dashboards and act on AI recommendations. Maintain detailed “as‑built” documentation, asset lists and network diagrams for each customer environment.
What attributes are we looking for in everyone that joins QiO? We’ve already stated that we want people that are prepared to challenge and be challenged. We are also looking for:
QiO is seeking a hands‑on implementation specialist who thrives on the factory floor, wiring sensors, integrating industrial control systems and proving that AI can move production KPIs in the real world. As an IndustrialIoTSolutions Delivery Engineer, you will: Lead end‑to‑end deployment of QiO’s edge‑to‑cloud platform—from hardware installation and network configuration to model roll‑out and operator training. Integrate with diverse control‑system environments (Siemens, Rockwell, Schneider, Mitsubishi), ensuring secure data acquisition and closed‑loop optimisation. Execute pilots, benchmark energy‑ and uptime‑improvement, and guide customers through scale‑up across multiple lines or sites. Troubleshoot live systems, applying root‑cause analysis and structured problem‑solving (8D, DFSS) to guarantee sustained performance. Capture field insights and feed them back to Product & Engineering, accelerating roadmap cadence and deployment toolkits. Key Responsibilities: Field Deployment & Integration
Plan site readiness, supervise installation of gateways, sensors and comms infrastructure; commission edge devices running Docker/K3s micro‑services. Configure data pipelines via OPCUA, Modbus/TCP, EtherNet/IP; validate timestamp fidelity and historian mapping. Implement secure network zones, firewalls and VPN tunnels between OT and cloud per IEC62443 best practice.
Pilot Execution & Performance Tuning
Collect baseline metrics, apply QiO optimisation models, and verify energy/OEE improvements against target savings. Work with data‑science team to retrain or fine‑tune models when process drift or seasonality is detected.
Production Roll‑out & Support
Develop automated deployment scripts (Ansible, Terraform, Helm) and CI/CD pipelines for repeatable multi‑site roll‑outs. Provide tier‑2/3 support, incident post‑mortems and preventive maintenance recommendations based on platform insights.
Customer Enablement & Documentation
Deliver operator training, build SOPs and quick‑reference guides; ensure site teams can interpret dashboards and act on AI recommendations. Maintain detailed “as‑built” documentation, asset lists and network diagrams for each customer environment.
What attributes are we looking for in everyone that joins QiO? We’ve already stated that we want people that are prepared to challenge and be challenged. We are also looking for: Curiosity
– We love people that are curious, as they ask the questions others don’t want to. Learning ability
– If you do not meet our experience criteria but can demonstrate an insane learning curve, then we want to speak with you. Eager to learn
– Technology is evolving at an exciting yet alarming rate. We want people to that can keep up and bring new innovations in the way we work and develop our products. Communication
– Being able to articulate technical detail to people that may not have the same technical ability is a real skill. It’s one you will need to possess. Collaboration
– There are times you will be working alone and under our own initiative. But our strength is in the team and the ability to collaborate is vital, as well as being able to build rapport with our team and customers.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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