The picture is cautious, but sharp in places. Across a subdued 2025 economy, businesses took a careful approach to hiring, yet clear demand hotspots stayed hot for specialist skills including AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook for 2026. In other words, general headcount cooled while specific, hard-to-find engineering skills kept their pull.
AI skills are leading that pull. Demand for AI skills rose nearly 200 percent in a year, with London accounting for 80 percent of AI-related job postings and nearly two-thirds of all technology vacancies in the UK Accenture data reported by The Register. When demand grows that fast, the roles behind it start to specialise, and new ones appear.
The shape of the AI workforce is shifting, not just its size. Apprenticeships rose from 3 percent of AI hires in 2020 to 19 percent in 2025 the GOV.UK AI Labour Market Survey 2025, which tells us teams are building talent from the ground up rather than only buying it in. That matters for a role like teaching agents your standards: it rewards people who learn your codebase deeply, not just people with a long CV.
The broader skills push backs this up. During London Tech Week 2025, the UK government announced a partnership to upskill 7.5 million UK workers in essential AI skills by 2030, equivalent to around 20 percent of the UK workforce techUK's jobs and skills coverage. As agents write more code, someone has to define what good looks like, encode it in prompts, rules and review gates, and keep agents honest against your security and architecture standards. That is the job.
Think of it as a bridge role. It sits between senior engineering judgement and the day-to-day output of coding agents: writing the guidance, curating examples, setting guardrails, and reviewing what agents produce so the team's standards hold as volume goes up.
Start with the problem, not the title. Write down the standards you want enforced: code style, testing expectations, security rules, architecture patterns and review criteria. The person you want can read that and explain how they would teach it to an agent, then check the output. Ask them to walk through a real pull request and spot where an agent would drift.
Write the role description in plain terms. Describe the outcome you want (agents that ship code matching our standards) rather than a shopping list of acronyms. That attracts people who can think, and it widens your pool at a time when specialist skills are hard to secure.
When you know the role, the next challenge is finding the right person fast. We search a database of 15 million candidates, rank a shortlist in seconds and help you get an interview booked, so you spend your time talking to people who fit rather than reading CVs. 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 what good looks like for your team, and we'll start the search today.
