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Recruitment Consultant

Job in Slough, Berkshire, SL1, England, UK
Listing for: Hubscale
Full Time position
Listed on 2026-09-16
Job specializations:
  • HR/Recruitment
    Recruiter / Talent Acquisition, Tech / IT Recruiter
Salary/Wage Range or Industry Benchmark: 40000 - 45000 GBP Yearly GBP 40000.00 45000.00 YEAR
Job Description & How to Apply Below

Delivery Consultant – AI RPO's

Location: London

Salary: £40k-£45k

About Hubscale

At Hubscale, we partner with some of the world's most exciting AI and cyber security companies to deliver exceptional talent across global markets.

We specialise in building world-class Leadership, GTM, Product, Technology and AI teams
, working with businesses ranging from high-growth Series A start-ups through to some of the most established technology vendors globally.

We're now scaling our AI practice
, with significant growth across RPO, project hiring and retained search. This is an opportunity to join the team at an exciting point in that journey and work directly alongside Associate VP Max
, supporting some of the most ambitious AI businesses in the market.

The Role

We're looking for an experienced Delivery Consultant / 360 consultant wanting to focus more on delivery, to join our AI team and take ownership of candidate delivery across our growing RPO portfolio.

A key part of the role will be supporting our RPO partnership with Legora – one of the leading AI companies in the market –, alongside Max and the wider delivery team.

You’ll be responsible for identifying, engaging and delivering high-calibre candidates into genuinely exciting AI businesses, working on roles where quality of sourcing and candidate engagement really matters.

This isn’t a high-volume CV-sending role. We’re looking for someone who understands how to headhunt difficult talent, build intelligent candidate pipelines and deliver against a high bar
.

You’ll work closely with Max, hiring managers and the wider Hubscale team to understand requirements, build market maps, identify relevant talent and manage candidates through to offer.

Key Responsibilities
  • Own candidate delivery across key AI RPO and project hiring accounts.
  • Partner closely with Max and hiring teams to understand technical requirements and candidate profiles.
  • Source and headhunt high-calibre AI and technology talent across global markets.
  • Build targeted talent pools and long-term candidate networks within your specialist market.
  • Manage candidates throughout the recruitment process, from initial approach through to offer and onboarding.
  • Develop strong market knowledge across AI, machine learning, software engineering and adjacent technology disciplines.
  • Use a combination of Linked In, headhunting, referrals, networking and creative sourcing strategies to identify hard-to-reach talent.
  • Maintain high standards of candidate experience and communication.
  • Work collaboratively with the wider AI team, sharing market intelligence, candidates and sourcing strategies.
  • Contribute to the continued growth and development of Hubscale’s AI delivery function.
What We’re Looking For
  • 2–5 years’ recruitment experience
    , with strong tenure and a proven track record of delivering consistently.
  • Experience recruiting within AI, Machine Learning, Data, Software Engineering or another closely adjacent technology market
    .
  • Strong delivery capability, with genuine confidence in sourcing and headhunting.
  • Experience recruiting for roles where finding the right candidate requires deep sourcing rather than simply advertising and waiting for applications
    .
  • Strong understanding of how to identify, qualify and engage high-calibre technical talent.
  • Excellent communication skills and the ability to build credibility with candidates and senior stakeholders.
  • Someone commercially aware who understands the importance of delivering against client expectations.
  • A high level of attention to detail and organisation, particularly when working across multiple RPO vacancies.
  • Someone ambitious who wants to develop alongside a rapidly growing AI practice.

We’re particularly interested in people who can tell us about the hardest AI or technical role…

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