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- Tasks: Connect with top AI and ML talent globally while shaping the future of finance.
- Company: Join a leading research firm in London focused on innovative quantitative finance solutions.
- Benefits: Competitive pay, annual bonus, 30 days leave, and comprehensive healthcare.
- Why this job: Be part of a dynamic team pushing the boundaries of machine learning in finance.
- Qualifications: Experience in recruiting for technical roles, especially in AI and ML.
- Other info: Enjoy a flexible work environment with great career growth and monthly events.
The predicted salary is between 36000 - 60000 £ per year.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what’s possible - all with the support of near-limitless compute and world-class peers.
The role
We’re hiring a Machine Learning Recruiter to connect G-Research with the brightest minds in AI and machine learning worldwide — the researchers defining the future of our field. Our researchers face a daily challenge: disproving the efficient market hypothesis. To do that, they harness massive compute power and cutting-edge ML techniques — from methods fresh off the conference circuit to entirely novel approaches developed in-house. Textbook models won’t cut it. Machine learning is integral to developing successful investment strategies and remains one of the core drivers of our performance and success. Among our people are researchers published at ICML and NeurIPS.
Key responsibilities of the role include:
- Partnering with research leaders to define hiring priorities and build long-term talent strategies
- Identifying, engaging and nurturing outstanding individuals across academia, AI labs and industry
- Traveling globally to connect with leading ML communities, attend conferences and meet exceptional researchers where they are
- Leading end-to-end recruitment for high-impact ML and research roles, from initial outreach to closing
- Utilising data and market insight to guide hiring decisions, compensation discussions and process improvements
- Authentically representing G-Research, ensuring candidates experience our collaborative, intellectually demanding environment from their very first interaction
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Significant experience recruiting in highly technical or scientific environments, ideally within AI, ML or quantitative research
- Proven success hiring top-tier technical talent in global and highly competitive markets
- Confidence navigating complex searches and negotiations with care, precision and discretion
- Genuine curiosity about artificial intelligence, data science and modern research methods
- A structured, analytical approach to search, balancing insight, evidence and instinct
- The ability to operate effectively in a fast-moving, research-driven environment with evolving priorities
Why join us?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
Machine Learning Recruiter in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Recruiter in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and machine learning space. Attend conferences, meetups, and workshops to build relationships with potential candidates and industry leaders. Remember, personal connections can often lead to the best hires!
✨Tip Number 2
Showcase your company culture! When you’re chatting with candidates, make sure to highlight what makes G-Research unique. Share stories about your collaborative environment and the exciting projects your researchers are working on. This will help attract top talent who resonate with your values.
✨Tip Number 3
Be proactive in your search! Don’t just wait for applications to roll in. Use platforms like LinkedIn to scout for talent and reach out directly to those who fit the bill. A little initiative can go a long way in finding the right candidates before they even hit the job market.
✨Tip Number 4
Utilise data to your advantage! Keep track of your recruitment metrics and use insights to refine your hiring process. This will not only help you make informed decisions but also demonstrate to candidates that you’re serious about finding the best fit for your team.
We think you need these skills to ace Machine Learning Recruiter in London
Some tips for your application 🫡
Show Your Curiosity: When you’re writing your application, let your genuine curiosity about AI and machine learning shine through. We love candidates who are passionate about the field, so share any relevant experiences or projects that highlight your interest!
Tailor Your Application: Make sure to customise your application for the Machine Learning Recruiter role. Highlight your experience in recruiting for technical environments and how it aligns with our mission at G-Research. This shows us you’ve done your homework and understand what we’re all about.
Be Data-Driven: Since we value data and insights, incorporate any metrics or achievements from your previous roles that demonstrate your success in hiring top-tier talent. Numbers can really make your application stand out and show us your analytical side!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at G-Research
✨Know Your Stuff
Make sure you brush up on the latest trends and techniques in machine learning and AI. Familiarise yourself with the specific challenges faced in quantitative finance, as this will show your genuine interest and understanding of the role.
✨Showcase Your Experience
Prepare to discuss your previous recruitment experiences in technical environments. Be ready to share specific examples of how you've successfully identified and engaged top-tier talent, especially in competitive markets.
✨Ask Insightful Questions
Demonstrate your curiosity by asking thoughtful questions about the company's research initiatives and team dynamics. This not only shows your interest but also helps you gauge if the environment aligns with your values.
✨Be Authentic
When representing G-Research, be yourself! Authenticity is key in creating a positive candidate experience. Share your passion for AI and machine learning, and let your personality shine through during the interview.
