Skills, Talent and Diversity updates
Sign-up to get the latest updates and opportunities from our Skills, Talent and Diversity programme.
To make the most of your techUK website experience, please login or register for your free account here.
Anyone working in tech has felt this firsthand: careers don’t move in straight lines anymore. Roles shift faster than job descriptions can keep up, new technologies appear halfway through a project, and people often enter the industry from completely unexpected backgrounds. But even with all this change, the way we describe, hire, and develop talent still quietly relies on old, linear assumptions.
The interesting part isn’t just that careers are evolving — it’s what non‑linear paths consistently reveal about how skills and capability actually develop in tech.
Across technology, digital transformation, accessibility, and AI-enabled programmes, some of the most effective practitioners I’ve worked with didn’t start in “tech”.
They arrived from retail, logistics, sales, admin, education, or operations. Their CVs weren’t neat, but their judgement was strong. They were comfortable translating between stakeholders, navigating ambiguity, and learning tools quickly because they’d already had to adapt repeatedly.
Those sideways moves weren’t detours. They were where capability and some of these core skills was formed.
When people move across sectors, they often carry forward skills that are difficult to teach in isolation:
These skills don’t always show up clearly on CVs, but they show up very quickly in delivery. In practice, they’re often what makes the difference between someone who knows a tool and someone who can use it effectively in a live environment.
This is where apprenticeships and work-based learning tend to align well with tech roles, not because they are entry-level, but because they mirror how capability develops in fast-moving environments:
For people who don’t thrive in purely academic settings — including many neurodivergent individuals this approach often unlocks capability that would otherwise remain hidden.
One pattern that shows up repeatedly in tech teams is that some of the strongest problem-solvers don’t necessarily perform best in traditional recruitment or even educational settings.
Highly structured interviews and abstract questioning can favour presentation over practical reasoning. When assessment shifts closer to real work scenarios, tasks, live problems different strengths surface. This isn’t about lowering the bar. It’s about seeing performance more clearly.
As AI and automation continue to reshape roles, technical skills will remain essential, but they will also date faster.
The more longer-term capabilities are:
These tend to be well developed in people whose careers haven’t followed straight lines. Sideways experience doesn’t dilute technical capability it often strengthens it.
In tech, progress rarely happens in straight lines. Products iterate. Systems evolve. Skills stack. It makes sense that careers do the same.
Sideways isn’t a failure of direction, it's often where the most useful capability and adaptability are built.
If you are interested in finding out how the programs we offer can help your workforce please connect with me on Linkedin.
techUK’s TechTogether campaign, taking place throughout March, is a collection of activities highlighting the UK’s technology sector pursuit to shape a more equitable future. In 2026 we are exploring: Inclusive AI, investing in diverse founders and entrepreneurs, the power of allyship and mentorship, and empowering young people.
Sign-up to get the latest updates and opportunities from our Skills, Talent and Diversity programme.
techUK members can get involved in our work by joining our groups, and stay up to date with the latest meetings and opportunities in the programme.
Founder and CEO, Purple Beard
Dimple is an experienced education practitioner and entrepreneur. She has worked in the vocational education sector for more than 15 years in various roles, She has led teams of delivery, business development and setting up & running two successful training companies in the U.K.
Her specialisms include AI, digital technology, curriculum design to support the delivery of technology standards, preparation for quality assurance, employer engagement, team management, partnership working, designing e-learning, project management and supporting delivery teams.