3 часа назад
Technical Recruiter (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Recruiter (AI): Managing full-cycle recruitment for technical, AI, machine learning, computer vision, and go-to-market roles across global markets with an accent on sourcing strategy, hiring-manager partnership, and candidate experience. Focus on building talent pipelines, improving ATS workflows, analyzing recruiting outcomes, and coordinating offers across multiple time zones.
Location: London, United Kingdom; hybrid role with on-site work at the London hub. Applicants must have legal authorization to work in the country of application.
Company
develops YOLO-based artificial intelligence and computer vision models used by developers, researchers, and companies worldwide.
What you will do
- Own full-cycle recruiting from intake and process design through outreach, negotiation, and close.
- Build sourcing strategies and talent pipelines using LinkedIn Recruiter, Boolean search, ATS platforms, and referrals.
- Recruit technical, AI, machine learning, computer vision, and go-to-market talent across global markets.
- Partner with hiring managers on role requirements, candidate assessment, market insights, compensation planning, and offers.
- Improve hiring workflows in Ashby, Rippling, and other ATS platforms while tracking pipeline health and recruiting outcomes.
- Deliver a clear candidate experience and support employer-brand development.
Requirements
- Experience as an in-house talent partner or specialist agency recruiter.
- Proven success in full-cycle recruiting, sourcing strategy, and talent pipeline development.
- Hands-on experience with LinkedIn Recruiter, Boolean search, ATS platforms, and recruiting analytics.
- Strong hiring-manager partnership, candidate assessment, offer negotiation, and compensation-planning skills.
- Experience supporting global hiring across multiple markets and time zones.
- Legal authorization to work in the country of application is required.
Nice to have
- Technical hiring experience in AI, machine learning, or computer vision.
- Familiarity with OKR frameworks and hiring metrics.
- Experience coordinating distributed teams across multiple time zones.
- Understanding of employer branding and developer communities.
Culture & Benefits
- On-site collaboration in a fast-paced, high-intensity environment.
- Flexible working hours focused on results.
- 24 vacation days, a birthday day off, and local holidays.
- Equity packages and a learning and development budget.
- Apple equipment, including a MacBook Air or Pro, Apple Studio Display, and AirPods Pro 3.
- Opportunity to contribute to AI computer vision technology based on the YOLO framework.
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