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

Apply Now

Tech Recruitment Consultant - All Levels

AT Talent - Rec2Rec
London
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning/ Generative AI Consultant

Data Engineer

Data Science Consultant - Health

Data Science Consultant

Graduate Data Science Consultant

Copy of Graduate Data Science Consultant

Tech Recruitment Consultant - All Levels

London, Hybrid


Starting salaries at £25K, rising to £40K+ at Senior & above…

+ Market-leading commission structure rising up to 50%!


Join a Purpose-Driven Tech Recruitment Powerhouse 🚀


Are you ready to be part of a recruitment business that does thingsdifferently? One that valuesauthenticity, innovation, and impactjust as much as performance? If you’re a recruiter looking for more than just a job—if you want to drive change, challenge the norm, and be part of a community that truly cares—this is for you!


Your Opportunity 🔥


This is a360 recruitment role, giving you full ownership of your desk. You’ll have the autonomy togrow your market, develop client relationships, and drive revenue, all while being supported by an award-winning brand with a global presence. Whether you’re stepping up or already an experienced recruiter, this is your chance totake control of your success and make a real impactin the tech industry.


Where They Operate & What You Can Build 🌎


They are growing across theUK, Europe, and the USA, offering recruiters the chance to develop their ownhigh-growth desksin some of the most exciting and in-demand tech markets.


Depending on your location and expertise, you’ll have the chance toown your niche, build a strong client and candidate network, and establish yourself as aspecialist recruiterin an in-demand tech space across these core verticals:


💻Software Engineering

DevOps & Cloud

🤖Artificial Intelligence & Machine Learning

🚀Emerging Tech & Digital Transformation


Why Join Them? 💡


  • Build Your Own Desk– Shape your market, grow your client portfolio, and establish yourself as a leader in your space.
  • People First– They champion an inclusive, values-led culture where everyone has a voice. Your growth, development and well-being matter!
  • More Than Recruitment– They go beyond hiring. Through events, partnerships, and building offline global communities, they shape industries and careers.
  • Tech-Driven Impact– They partner with pioneering businesses in AI, DevOps, and emerging tech to drive real innovation.
  • Uncapped Potential– Competitive commission, cutting-edge tools, and tailored training mean you can take your career to the next level.
  • Flexibility & Autonomy– Whether remote, hybrid, or office-based, they empower you to work your way.
  • Diversity & Inclusion at the Core– They don’t just talk about DEI - they take action, embedding it into everything they do.


Who They're Looking For 🎯


  • A360 recruiterready to take full ownership of their market.
  • Natural connector who thrives on building client and candidate relationships.
  • Committed toDEI and driving changein hiring within the tech industry.
  • Ambitious, with agrowth mindset and the drive to scale a desk.
  • Experience intech recruitmentis a plus but not essential.


Ready to disrupt the status quo and build a career with purpose?Let’s talk about an opportunity with a recruitment business that putspeople, purpose, and progressat the heart of everything 🙌

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.