Global ML Recruiter for AI Research Talent

G-Research; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading quantitative finance research firm in London is seeking a Machine Learning Recruiter to connect with top talent in AI and machine learning globally. In this role, you will partner with research leaders to define hiring strategies and manage the recruitment process from outreach to closing. The ideal candidate has significant experience in technical recruitment, a genuine curiosity about artificial intelligence, and is adept at navigating complex negotiations. The company offers competitive compensation, healthcare, and excellent work-life balance.

Benefits

Highly competitive compensation

Annual discretionary bonus

30 days annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Qualifications

• Significant experience recruiting in highly technical or scientific environments.
• Proven success hiring top-tier technical talent in global and highly competitive markets.
• Genuine curiosity about artificial intelligence and data science.

Responsibilities

• Partnering with research leaders to define hiring priorities.
• Identifying and nurturing outstanding individuals across various sectors.
• Leading end-to-end recruitment for high-impact roles.

Skills

Sales Experience

Sourcing

Talent Acquisition

Negotiation

Recruiting

Tools

Taleo

Microsoft Outlook

Microsoft Outlook

Job description

A leading quantitative finance research firm in London is seeking a Machine Learning Recruiter to connect with top talent in AI and machine learning globally. In this role, you will partner with research leaders to define hiring strategies and manage the recruitment process from outreach to closing. The ideal candidate has significant experience in technical recruitment, a genuine curiosity about artificial intelligence, and is adept at navigating complex negotiations. The company offers competitive compensation, healthcare, and excellent work-life balance.