Case Study

A dynamic and rapidly expanding health tech startup faced a significant challenge: making their first hire for a machine learning engineer. With a small, elite team of founding engineers who are top-tier in their field, they set exceptionally high standards for both technical skills and cultural fit. The rigorous criteria and time-consuming nature of the hiring process placed a considerable strain on their resources, necessitating a highly efficient and targeted recruitment strategy.

Recognising the critical importance of this hire, we implemented a comprehensive and tailored approach:

Leveraging our extensive network and industry reach, we ensured broad market coverage to identify potential candidates.

We maintained regular, detailed conversations with the start-up to fully grasp the nuances of the role and the specific characteristics they sought in a candidate. This allowed us to stay aligned with their evolving needs and preferences, ensuring we presented only candidates who met their high standards. Candidates with first-class degrees from Oxbridge, a passion for fitness, and a keen interest in joining a world-leading start-up. 

Our process included deploying advanced resourcing tools to meticulously sift through hundreds of profiles and conducting thorough screenings to filter out the most qualified individuals. Additionally, we utilised our resource team to ensure our entire network was covered. 

Our focused and diligent efforts culminated in the successful placement of their first machine learning engineer. Beyond this pivotal hire, we also filled two additional key roles within their team over the course of the year, demonstrating our capability to exceed expectations and outperform all other agencies. This success not only streamlined their hiring process but also reinforced our position as a trusted recruitment partner, instrumental in supporting their continued growth.