

Demand for engineering talent is high and the gap is real. Three in four, or 76% of engineering employers, struggle to recruit for key roles, with technical and specialist sustainability skills topping the list Institution of Engineering and Technology (IET). That shortage matters more now, because the work itself is changing. Open-weight models, the kind you can download and run yourself, have moved inference out of a vendor's data centre and onto your own hardware. Running them well is becoming a core engineering skill, not a niche one.
The barrier to adopting this technology is people, not appetite. Over 50% of manufacturers cite skills shortages as the main barrier to AI adoption, and only 2% say AI is widely embedded across their operations The Manufacturer / Make UK – AI, Skills and the Future of UK Manufacturing. So the firms that want to bring inference in-house are competing for the same scarce people. Getting hiring right is the difference between a stalled pilot and a working capability.
The shape of engineering work is moving towards judgement and problem-solving. Six in ten, or 59% of manufacturers, cited automation and half, or 50%, cited wider digitalisation as trends changing jobs and skills needs, and 74% expect demand for cognitive and meta-cognitive skills to increase by 2030 Make UK – 2030 Skills: Closing the Gap. In plain terms, meta-cognitive skills mean knowing how to learn, reason and adapt, exactly what you need to evaluate a model, test its outputs and decide where it fits.
Teams are also building these skills from within. 40% of manufacturers are looking to upskill their existing workforce, specifically for redeployment as a result of automation and digitalisation, and that figure rises for firms with more than 1,000 employees Make UK Executive Survey 2026. For open-weight inference, that often means data engineers, MLOps specialists and hands-on software engineers who can serve a model, monitor it and keep costs predictable.
Start with the problem, not the job title. Decide what you actually want inference to do, whether that is defect detection, document search or prediction, then work backwards to the skills that deliver it. With 76% of engineering employers struggling to recruit for key roles Institution of Engineering and Technology (IET), a tight, honest brief helps you move faster than the next employer chasing the same person.
When you know the skills you need, we help you find the person fast. We search a database of 15 million candidates, rank a shortlist in under 30 seconds, and manage the process end to end, from contacting matched people to booking interviews. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost, through Reed.ai. Tell us the role, and start building your shortlist today.