Industrial Solutions Engineer (UK)

Reports to Director of Engineering

Location: United Kingdom

We are a Series A technology company on a mission to help energy-intensive industrial organizations stay competitive by improving their asset and process performance, leading to outcomes such as increased productivity and output, improved uptime, and reduced energy consumption & carbon emissions. We deploy our configurable and scalable AI software platform to deliver real business outcomes for our customers.

Role and Responsibilities

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 Industrial IoT Solutions 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 optimization.
• 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 communication infrastructure; commission edge devices running Docker/K3s micro-services.
  • Configure data pipelines via OPC UA, 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 practices.
• Pilot Execution & Performance Tuning
  • Collect baseline metrics, apply QiO optimization 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 who 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 your 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.