Principal Recruitment Consultant - ML, AI, Java & .Net

AT Talent - Rec2Rec

London

1 year ago

Applications closed

Related Jobs

View all jobs

Data Science Lead / Manager

Lead Data Scientist - Customer Development

Senior Machine Learning Engineer

Principal Data Scientist

Research Assistant/Associate in Data Science and Computational Neuroscience

Senior Machine Learning Scientist

Job Description

Principal Recruitment Consultant Opportunity in the Thriving Technology Market

Are you equipped with prior recruitment experience? Eager to propel your career within a rapidly expanding enterprise? If so, this agency has an exciting proposition for adept recruiters seeking advancement within the dynamic technology sector.

With a history tracing back to its inception in 2005, this agency has excelled in catering to the Machine Learning, AI, Java, and .NET markets.

Presently, they stand as a pivotal purveyor of enduring and contractual technology recruitment solutions across the UK.

Benefits:

Revel in an uncapped commission structure.
Attain monthly incentives as a top performer.
Embark on an annual escapade to vibrant Las Vegas.
Embrace the cutting-edge environment of the new central London office.
Receive a sleek MacBook Air for professional use.
Enjoy the flexibility of remote work arrangements.
Commence your weekend early with Friday early finishes.
Recharge during extended gym and wellbeing lunch breaks.
Unwind with Free Beer Fridays.

Key Areas of Specialisation:

Development & Architecture
Testing & Quality Assurance
DevOps & Infrastructure
Agile Delivery
Machine Learning
AI

They are in search of adept recruitment consultants who boast a minimum of 1 year of experience, coupled with a demonstrated history of achievements.

Minimum Requirements:

1 year of recruitment experience with a proven track record of success.

Intrigued? Apply now!

J-18808-Ljbffr

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

Industry Insights

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

Feb 9, 2026

Careers

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.

Feb 2, 2026

Jobs

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.

Jan 23, 2026

Education

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.