Automation is reshaping manufacturing faster than most firms can staff it. Six in ten (59%) manufacturers cited automation and half (50%) cited wider digitalisation as trends changing jobs and skills needs, according to Make UK's 2030 Skills: Closing the Gap report. The same report found that 74% expect demand for cognitive and meta-cognitive skills to increase by 2030, the kind of judgement-led work that validation depends on Make UK – 2030 Skills: Closing the Gap.
The gap between ambition and reality is wide. 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, per The Manufacturer's coverage of the Make UK AI, Skills and the Future of UK Manufacturing report. In pharma, where every automated step must stand up to inspection, that 2% tells you why validation talent is so hard to find and so valuable to keep The Manufacturer / Make UK – AI, Skills and the Future of UK Manufacturing.
Automation in a regulated plant is only useful once it's proven. Validation is the discipline of documenting and testing that an automated system does exactly what it should, every time, to the standards a regulator expects. Without it, a new line stays switched off. That's why pharma hiring now rewards people who can bridge engineering and compliance, not just those who can build the automation itself.
Regulated sectors increasingly recruit for higher qualification levels. In Financial Services, recruitment was generally for Regulatory Qualification Framework (RQF) 6+ roles, rather than RQF 3 to 5, as noted in the GOV.UK Temporary Shortage List Stage 2 report. Pharma follows a similar pattern: computer system validation, GAMP 5 knowledge and data integrity experience push candidates toward the top of the pile, because those skills are hardest to train quickly.
Many firms are responding by building these skills in-house. 40% of manufacturers are looking to upskill their existing workforce, specifically for redeployment as a result of automation and digitalisation, and this figure increases for firms with more than 1,000 employees, according to the Make UK Executive Survey 2026. Upskilling helps, but it rarely closes an urgent gap on its own.
Start with the proof, not the tool. Ask for concrete validation evidence: which systems a person has qualified, how they handled deviations, and how they documented data integrity. Someone who can walk you through an IQ, OQ and PQ cycle in plain terms is worth more than one who simply lists software.
Then widen the pool. With over half of manufacturers blocked by skills shortages per The Manufacturer's reporting on the Make UK study, the people you need are often already employed and not actively looking. Pair that with upskilling: map which of your current engineers could move into validation, and hire externally for the gaps you can't train in time. Clear role scope, fast feedback and honest conversations about regulated standards keep strong people engaged.
When demand outpaces supply, speed and reach matter. We search a database of 15 million candidates to surface people with real validation experience, including those who aren't actively applying, and rank a shortlist for you to review in under 30 seconds. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell Reed.ai about your automation role today and we'll start matching.
