Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Recruiter

London
6 months ago
Applications closed

Related Jobs

View all jobs

Procurement and Supplier Data Analyst

Data Analyst – Automotive Industry

Senior Data Scientist

Senior Data Engineer – Azure - Birmingham/Flexible

Senior Data Engineer

Senior Data Engineer

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.