AI Engineer demand is up 262% YoY – So why are businesses still struggling to find talent?
Vacancies for AI roles are rocketing. Recent data from employment insights platform Lightcast reveals that the demand for AI Engineers has surged by 262% YoY, with around 1,500 more job openings than this time last year.
Alongside specific roles, data also shows that the number of vacancies that mention artificial intelligence as a required skill has risen 202% YoY, with AI now mentioned as a capability in over 42,000 vacancies.
The need for AI skills is clear. But for employers, the question is no longer whether to hire AI talent. It's how.
Why are AI engineers so difficult to hire?
The rapid adoption of AI has created a significant skills gap.
Organisations across every sector, from finance and healthcare to retail and manufacturing, are investing in AI initiatives. As demand accelerates, experienced AI engineers are becoming increasingly difficult to attract and retain.
Competition for talent is also intensifying, with global technology giants, fast-growing AI startups and high-profile consultancies all competing for a relatively small pool of experienced AI professionals.
What makes AI engineers so in-demand?
Few roles are experiencing the same level of growth as AI engineer is right now. In the AI adoption race, demand for professionals who can turn ambition into real-world results has skyrocketed.
Organisations are increasingly finding that implementing AI successfully requires more than just purchasing the latest technology.
It requires skilled professionals who can build, deploy and optimise AI solutions so they can deliver their full potential.
This is where AI engineers come in.
Businesses are seeking AI engineers to build and deploy machine learning models, develop AI-powered products, automate business processes, create intelligent chatbots, enhance data capabilities, improve customer experiences and ensure AI systems are secure, ethical and scalable.
Considering the broad nature of projects that AI engineers are needed for, it's no surprise to see the demand so high. It's also no surprise that businesses are struggling to secure the talent they need to succeed.
AI projects are underway in almost every business and in every industry, creating an urgent need for more talent.
As AI continues to move from experimentation to enterprise-wide adoption, AI engineers have become one of the most sought-after professionals in the digital workforce.
The AI engineer skills gap – is training the answer?
The AI landscape continues to evolve at an extraordinary pace.
Someone with five years of experience using yesterday's technology may not necessarily be better equipped than someone who has recently trained on modern AI tools, machine learning frameworks and automation platforms.
Because of this, there's a strong case for looking beyond traditional hiring methods and focusing on potential as well as experience.
Rather than limiting recruitment efforts to experienced AI professionals, many organisations are developing talent internally or recruiting individuals with transferable skills from software development, data analysis and IT.
For organisations that want to develop talent internally rather than rely solely on external hiring, there are several ways to build these capabilities.
Developing an AI talent pool
Perhaps the most effective long-term strategy is developing talent through AI apprenticeships.
In a market where experienced AI professionals are increasingly difficult to secure, apprenticeships enable organisations to build skills aligned directly to their business needs. Not only can apprenticeships be used for hiring new talent, but also for helping existing team members upskill or move into AI roles.
Here are some of the best programmes for in-demand AI roles:
AI Automation Specialist Level 4
Automation is one of the fastest growing specialist skills showing up in job vacancies. It appears in over 12,000 more job vacancies now in the UK than it did a year ago.
The AI Automation Specialist Apprenticeship programme is designed to help organisations build this increasingly valuable skillset. It focuses on developing expertise in automated workflows, implementing no-code and low-code tools, and embedding AI governance best practices.
AI Engineer Level 6
The AI Engineer Level 6 programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build and deploy generative AI and machine learning solutions.
Funded through the Growth and Skills Levy, this programme can be used to upskill existing employees who want to move into AI-focused roles or develop specialist AI expertise.
Traditional recruitment models assume the skills already exist in the market. However, when it comes to AI, demand is clearly outpacing supply.
AI apprenticeships offer a more sustainable solution by combining structured learning with practical workplace experience.
The future of AI hiring
The organisations that succeed with AI won't necessarily be those with the biggest recruitment budgets.
They'll be the ones that take a long-term view of talent development.
With demand for AI engineers increasing by 262% and machine learning roles growing by 75%, waiting for the perfect candidate to appear is becoming an increasingly risky strategy.
Forward-thinking employers are already adapting, building skills internally, embracing apprenticeships and creating talent pipelines that will support growth for years to come.
Need help closing your AI talent gaps? Speak to our team today to start building the skills your organisation needs.