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

Apply Now

Senior Recruiter

London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Scientist

Senior Data Engineer – Azure - Birmingham/Flexible

Senior Data Engineer

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.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.