Operational Technology & AI Engineer

About the Role

This Operational Technology & AI Engineer role sits at the intersection of the shopfloor and enterprise execution workflow, connecting machine data to operational decisions. You'll be responsible for connecting to machines, making data sense, and earning the trust of operators and maintenance engineers. This is a hands-on, technical role that requires a strong understanding of industrial automation, PLCs, sensors, and control systems.

Key Responsibilities

• Connect Litmus Edge to client equipment across mixed estates, working with industrial protocols to capture sensor, controller, and machine data.
• Leverage NaturalAI, build processes, knowledgebase, and reusable assets to model and contextualise data.
• Prepare and hand off clean data streams to the Databricks and Oracle Smart Operations layers for analysis, business workflow execution, and decision making.
• Support condition-based and predictive maintenance use cases, from first data capture through to a working result on a single line.
• Run data quality checks early to surface problems in week one rather than month four.
• Spend time on the shop floor with operators, maintenance engineers, and supervisors to learn how the line really works and design around it rather than over it.
• Document what you build clearly enough that a client team can sustain it after you leave.

Skills & Qualifications

• Engineering degree or apprenticeship in a controls, electrical, mechanical, mechatronics, or industrial discipline.
• Real exposure to an industrial or manufacturing environment, with comfort being on a working shop floor.
• Working understanding of industrial automation, PLCs, sensors, and control systems.
• Programming or data handling experience (e.g., Python, SQL, or scripting).
• Ability to communicate with machine operators and data engineers.
• Willingness to travel to client sites across the UK and other Regions of InspireXT.

What You'll Learn

In this role, you'll have the opportunity to learn about industrial automation, PLCs, sensors, and control systems, as well as gain hands-on experience with NaturalAI, Databricks, and Oracle Smart Operations. You'll also develop your communication skills, learning to talk to machine operators and data engineers in the same afternoon.

Resume Tip

When applying for this role, make sure to highlight your relevant coursework, projects, or work experience in industrial automation, PLCs, sensors, and control systems. Emphasize your ability to learn quickly, own your mistakes, and keep going when the data is messy and the answer is not obvious.