Senior Recruiter

London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Recruitment Consultant - AI & Data Science - Manchester

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Software Engineer, Machine Learning

Senior Data Scientist

We’re a well-funded, high-growth talent consultancy specialising in Cyber Security, Data, and Artificial Intelligence. Our clients are global enterprises, FTSE firms, and high-growth scale-ups who trust us to deliver niche talent where others can’t.

We focus on quality and require senior recruitment professionals with 5 years+ experience to drive and grow one of our core verticals – with full autonomy, huge earning potential, and the opportunity to shape the future of the business.

The Role



Own and scale a vertical in Cyber Security, Data Science & Engineering, or AI/Machine Learning

*

Build long-term relationships with blue-chip clients, providing true consultancy beyond CVs

*

Deliver into complex environments – from CISO & Director-level to deep technical, cloud, or data science roles

*

Work independently, backed by a highly capable team and robust operational support

*

Bring ideas, lead on client strategy, and help shape growth – we’ll back your vision

*

Potential to grow and lead a team, or step into a Director/MD role depending on experience

We’re Looking For

*

5+ years’ experience in recruitment (Cyber, Data, or AI strongly preferred)

*

Proven record of delivering into blue-chip or enterprise clients

*

Confidence and credibility to operate at senior stakeholder level

*

Highly self-motivated, accountable, and delivery-focused

*

Able to operate autonomously while collaborating on big wins

*

Track record of building or scaling a desk (leadership experience a plus)

What You’ll Get

*

Join a well-capitalised, founder-led business with major growth momentum

*

Uncapped commission + clear path to equity for senior hires

*

Full flexibility and remote-first culture (we care about results, not hours)

*

A platform where your voice shapes the direction of the business

*

Backing to hire, scale and build your own high-performing practice

Let’s Talk

If you’re a high-performing recruiter who knows how to deliver in Cyber, Data, or AI — and want to be part of something fast-moving, ambitious, and genuinely rewarding — we’d love to hear from you

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.