

The UK tech market stayed cautious through 2025, but demand didn't vanish: it concentrated. Businesses took a careful approach to headcount while still chasing specialist skills, with clear hotspots in AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook. For fintech, that mix maps almost exactly onto what a modern quality function needs.
The pull towards AI is sharp. 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 UK technology vacancies Accenture data reported by The Register. So the quality roles you're hiring for now sit inside the busiest, most competitive corner of the market.
The supply side is moving too. During London Tech Week 2025, the UK government announced a partnership to upskill 7.5 million UK workers in essential AI skills by 2030, around 20 percent of the workforce techUK. More people will arrive with AI fluency, which changes what good looks like for a quality hire.
Traditional QA in fintech leans on people writing test cases, running them and logging defects. Agentic testing hands much of that execution to AI agents that can explore an application, generate test scenarios, run them and report back. The person's job moves up a level: they set the goals, define risk and acceptance criteria, and judge whether the agent's work can be trusted.
That shift rewards the specialist skills already in demand, AI, data and security Computer Weekly's tech recruitment outlook. A fintech quality engineer now needs to read model behaviour, spot where an agent misses an edge case, and keep a clear audit trail for regulators. In a sector handling payments and personal data, governance and explainability become core parts of the role, not extras.
Start with the problem, not the tool. Write the role around the outcomes you need, safe releases, auditable testing, fast feedback, rather than a long list of named products. With AI demand up nearly 200 percent in a year and so much of it clustered in London Accenture data reported by The Register, a narrow spec will shrink your pool further in an already tight market.
Hire for judgement and curiosity over a fixed toolchain. Agentic tools change fast, so the person who can reason about risk, read data and ask sharp questions will outlast any one platform. Lean on the growing pool of AI-skilled workers the UK is building towards 2030 techUK, and be ready to train on your specific stack rather than waiting for a perfect match.
We built Reed.ai to make that hire quicker and surer. We search a database of 15 million candidates to surface people with the AI, data and quality skills fintech roles now demand, and we manage recruitment end to end so you can stay focused on shipping. 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 good looks like, and we'll start building your shortlist.