National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Recruiter

London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Research

Senior Data Analyst – Front Office – Investment Management (Strong Python)

Senior Data Engineer

Senior Data Science Manager

Senior Data Scientist – Econometrics & Advanced Attribution

Senior Fabric 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

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.