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Machine Learning Recruiter

  • Business Management
  • London

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.

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.

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.

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
Location: London
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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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What our people say

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Matteo Quantitative Research Intern

"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."

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Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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Sebastian Senior Quantitative Researcher

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

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Mia Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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Yang Quantitative Researcher

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

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Yousuf Machine Learning Engineer

"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."

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Clement Senior Quantitative Researcher

"My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on."

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Dexter Software Engineer

"Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey."

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