At a Glance
- Tasks: Join us as an Industrial Solutions Engineer, deploying AI solutions on the factory floor.
- Company: We're a cutting-edge tech company focused on enhancing industrial performance and sustainability.
- Benefits: Enjoy flexible working options, hands-on experience, and opportunities for growth in a dynamic environment.
- Other info: Ideal for those who thrive in collaborative settings and enjoy tackling real-world challenges.
- Why this job: Make a real impact by optimising production processes and reducing carbon emissions with innovative technology.
- Qualifications: Curiosity and eagerness to learn are key; technical skills in integration and deployment are a plus.
The predicted salary is between 36000 - 60000 £ per year.
Reports to: Director of Engineering
Location: United Kingdom
We are a Series A technology company on a mission to help energy intensive industrial organisation to stay competitive by improving their asset and process performance leading to improved outcomes such as increased productivity and output, improved uptime and reduced energy consumption & carbon emissions. We deploy our configurable and scalable A.I. 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 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.
Industrial Solutions Engineer employer: QiO Technologies Ltd
At QiO, we pride ourselves on being an innovative technology company that fosters a collaborative and dynamic work environment. Our commitment to employee growth is evident through our hands-on training and development opportunities, allowing you to thrive in your role as an Industrial Solutions Engineer while making a tangible impact on energy efficiency and productivity in the industrial sector. Located in the United Kingdom, we offer a unique chance to work with cutting-edge AI technology, all while contributing to a sustainable future.
StudySmarter Expert Advice🤫
We think this is how you could land Industrial Solutions Engineer
✨Tip Number 1
Familiarise yourself with the specific industrial control systems mentioned in the job description, such as Siemens and Rockwell. Having hands-on experience or knowledge about these systems will give you an edge during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled technical challenges in previous roles. Be ready to discuss your approach to troubleshooting and root-cause analysis, as this is crucial for the role.
✨Tip Number 3
Demonstrate your curiosity and eagerness to learn by staying updated on the latest trends in AI and industrial technology. Mention any relevant courses or certifications you've completed that align with the company's mission.
✨Tip Number 4
Prepare to discuss your collaboration experiences, especially in cross-functional teams. Highlight instances where you've effectively communicated complex technical details to non-technical stakeholders, as this skill is highly valued at QiO.
We think you need these skills to ace Industrial Solutions Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the role of an Industrial Solutions Engineer. Focus on your hands-on experience with industrial control systems, AI implementation, and any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to lead deployments and troubleshoot systems. Show how your curiosity and eagerness to learn make you a great fit for QiO.
Highlight Problem-Solving Skills:Since the role involves troubleshooting and applying structured problem-solving techniques, provide examples in your application that showcase your analytical skills and how you've successfully resolved technical challenges in the past.
Showcase Communication Abilities:Emphasise your communication skills in both your CV and cover letter. Provide examples of how you've effectively communicated complex technical information to non-technical stakeholders, as this is crucial for the role.
How to prepare for a job interview at QiO Technologies Ltd
✨Show Your Technical Skills
Be prepared to discuss your hands-on experience with hardware installation and network configuration. Highlight any specific projects where you've integrated control systems like Siemens or Rockwell, as this will demonstrate your capability to handle the technical aspects of the role.
✨Demonstrate Problem-Solving Abilities
Expect to be asked about troubleshooting live systems. Prepare examples of how you've applied root-cause analysis or structured problem-solving methods in past roles. This will show that you can maintain performance under pressure.
✨Emphasise Your Curiosity and Learning Ability
QiO values curiosity and a strong learning curve. Be ready to share instances where you've asked insightful questions or adapted quickly to new technologies. This will align with their desire for candidates who can keep up with rapid technological changes.
✨Communicate Clearly and Collaboratively
Since the role involves training operators and working with diverse teams, practice articulating complex technical details in simple terms. Show that you can collaborate effectively and build rapport with both team members and customers.
