The picture is mixed, and that matters when you are planning a UX research hire. The wider market is best described as 'low hire, low fire', with weaker recruitment and vacancies sitting below pre-pandemic levels the Low Pay Commission's 2025 report. Yet demand for specialist skills has not gone away. Against a subdued 2025 backdrop, businesses hired cautiously but leaned into hotspots including AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook for 2026.
There is still movement in the professional end of the market. Professional, scientific and technical activities saw the largest volume increase in vacancies, up 5,000 in the August to October 2025 period the ONS vacancies bulletin for November 2025. So while the top line looks quiet, teams that need a rigorous UX researcher are hiring into a market that still rewards specialist expertise.
Two trends shape where a UX researcher sits. First, AI is reshaping demand: requests for AI skills rose nearly 200% in a year, with London accounting for 80% of AI-related postings and nearly two-thirds of all UK technology vacancies The Register, reporting Accenture data. Product teams building AI features need researchers who can test unfamiliar interactions and surface real user behaviour, not assumptions.
Second, the entry-level squeeze is real. The UK tech sector cut graduate jobs by 46% in a year, with a further 53% drop projected The Register, citing the Institute of Student Employers, and Adzuna has recorded a 30% fall in entry-level postings since ChatGPT launched techUK's analysis of entry-level and graduate jobs. That thins the junior pipeline, so employers should think hard about how they grow research talent rather than only buying it in. Apprenticeships are one route gaining ground: they have risen from 3% of AI hires in 2020 to 19% in 2025 the DSIT AI Labour Market Survey 2025.
Start with the evidence a researcher needs to produce, not a list of methods. A strong UX researcher chooses the right approach for the question: usability testing, interviews, surveys, diary studies or analytics. Ask candidates to walk you through a study they ran end to end, from the question they were answering to the decision the team made afterwards. You are testing whether their work changed the roadmap, not whether they can name a technique.
Screen for three things. Research rigour: can they design an unbiased study and know its limits? Communication: can they turn findings into a clear recommendation a product manager can act on? Influence: do stakeholders trust and use their evidence? A short exercise works well. Give a real (anonymised) research question and ask how they would plan it, what they would measure and how they would present the result to a sceptical roadmap owner.
Look close to home for talent, too. In engineering and IT professions the vast majority of new hires come from the resident labour force the GOV.UK review of professionals in IT and engineering, so a well-run UK search should reach most of the people you need. Move quickly and communicate clearly: in a low-hire market, the best researchers are choosy, and a slow process loses them.
We built Reed.ai to make specialist hires like this quick and rigorous. We search a database of 15 million candidates, rank a shortlist against your brief, and handle recruitment end to end so you can focus on assessing research skill rather than sifting CVs. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell us what your roadmap needs and we will surface researchers who can back it with evidence.
