Operational Technology & AI Engineer

London, United Kingdom | Posted on 11/06/2026

InspireXT is a technology consultancy helping industrial manufacturing, pharma and retail organisations connect the work of the shop floor to the work of the enterprise. Our promise is simple: Commerce to Operations. Connected. We do that with a focused, capable team that takes real ownership of client outcomes, and we are deliberate about leaving clients stronger than we found them.

We are bootstrapped, which means everyone here is close to the value they create. If you want to see your work land on a real production line rather than disappear into a slide pack, this is the right place.

We have lofty ambitions in an exciting market, where sustainability, efficiency, AI and technology enablement are driving bold collaborations in pursuit of customer excellence and profitable growth.

The foundation is laid, momentum is building, and we are now looking for talented team players who share our values and want to make a meaningful difference as we shape the next chapter.

We were born in the UK seven years ago, and we now have colleagues across five markets delivering connected solutions to our clients. We bring together the latest from Oracle and Salesforce through our Enterprise Apps capability, combined with Connected Intelligence and our own AI platform, NaturalAI™, to deliver rapid time to value across Commerce, Product, Supply Chain, Finance and Operations.

Why InspireXT?

Because transformation, at its best, is human. You'll work with people who care deeply about what they do, who believe in trust before transactions, and who want to leave every client stronger than they found them. We are on a strong path of growth, and you'll get to be part of that journey, helping shape the systems, culture and capabilities that will scale with us. If that sounds like you, we'd love to hear from you. Apply to be part of our growth story.

Are you ready to inspire? #MakingWinners #InspireXT#ConnectedIntelligence

How we work

Our four values are not posters. They shape the job.

• Customer centricity. The line, the operator and the result come first. A green dashboard that nobody on the floor trusts is a failure, not a delivery.
• Ownership. You will be trusted with real responsibility early. We expect you to take it, and to say so plainly when something is not working.
• Integrity. We tell clients the truth about their data, even when it is inconvenient and especially when it affects the bill.
• Sustainability. We build things clients can keep running, and we transfer capability into their teams rather than holding it inside ours.

What growth looks like here

You will start close to the machines and the data. As you build mastery, the path opens towards OT solution design, leading the edge side of client engagements, and shaping how the Connected propositions develop. We back people who want to go deep and then go wide. The ceiling is set by you, not by the role.

The Role

The Connected Shopfloor proposition brings machine data out of the plant and turns it into operational decisions, combining Litmus Edge at the edge with Databricks for analytics and with Oracle Smart Operations for enterprise execution. The hardest and most valuable part of that work is the OT side: getting clean, trustworthy data off a heterogeneous mix of equipment that was never designed to give it up easily.

That is where this role sits. You will be the person who connects to the machines, makes the data make sense, and earns the trust of the operators and maintenance engineers who actually run the line. It is hands‑on, it is technical, and it is at the intersection of the shopfloor and enterprise execution workflow.

What will you do

• Connect Litmus Edge to client equipment across mixed estates: different controllers, different protocols, different ages of kit.
• Work with industrial protocols to capture sensor, controller and machine data.
• Leverage NaturalAI™, build processes, knowledgebase and reusable assets.
• Model and contextualise that data, building asset hierarchies and tag structures that hold up when someone downstream relies on them.
• 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, so problems surface in week one rather than month four.
• Spend time on the shop floor with operators, maintenance engineers and supervisors, learning how the line really works and designing around it rather than over it.
• Document what you build clearly enough that a client team can sustain it after we leave.

What success looks like: your first year

This role grows in stages. The early months are about learning the ground; the later months are about owning it and looking ahead. The Global Practice Lead will hold these goals with you.

By three months: understand the ground

• Learn how InspireXT works: our ways of working, our delivery processes, and the people who own each part of them.
• Understand how the company makes money. Know the commercial model behind Connected Shopfloor and Connected Intelligence, why clients pay, and where the margin sits.
• Get fully inside the Connected solution proposition, the Litmus and OT layer especially, so you can describe the whole chain and your part in it.
• Be open to travel from the start and begin visiting client sites to see the work where it actually happens.

By six months: own your lane

• Know your lane and its target, and carry it as your primary responsibility. Be clear on what you own, what good looks like, and the number you are accountable for.
• Make Connected Shopfloor your primary goal. Deliver real OT outcomes on live engagements, not just learning exercises.
• Travel to the countries where we have operations, so you understand the field, the clients and the colleagues beyond a single site.
• Be open to engage the audience using social and marketing engagement and selling platforms, such as LinkedIn, YouTube and other marketing platforms.
• Build a good market and industry context by researching relevant analysts report, creating a portfolio of target companies, and working with respecting partners to create use cases.

By twelve months: grow the lane

• Suggest new ways of developing the market for Connected Shopfloor and Connected Intelligence, grounded in what you have seen on the floor and in the numbers.
• Find market trends that we can onboard and bring them back into the practice rather than leaving them as observations.
• Look for both evolution and revolution: the incremental improvements that make today's work sharper, and the step changes that could reshape how the proposition wins.
• Own specific targets that lead towards 2-3x growth of operations

Requirements

What we we looking for

This is an early-career role, and we are recruiting for aptitude and attitude as much as for a finished skill set. You will likely have:

• An engineering apprenticeship or degree, ideally in a controls, electrical, mechanical, mechatronics or industrial discipline.
• Real exposure to an industrial or manufacturing environment, and comfort being on a working shop floor.
• A working understanding of industrial automation, PLCs, sensors and control systems.
• Some programming or data handling experience (for example Python, SQL, or scripting), and the appetite to grow it quickly.
• The communication to talk to a machine operator and a data engineer in the same afternoon and be understood by both.
• A willingness to travel to client sites across the UK and, over time other Regions of InspireXT.

You do not need to have done all of this before. You do need to be the sort of person who learns fast, owns their mistakes, and keeps going when the data is messy and the answer is not obvious.

As part of a growing, ambitious, and progressive organization, you will receive a competitive compensation package including retirement benefits, health, and life insurance.