hyperexponential

HQ
London
Total Offices: 2
250 Total Employees
100 Product + Tech Employees
Year Founded: 2017

hyperexponential Offices

hyperexponential is headquartered in London and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week

U.S. Office Locations

Global Office Locations

HQ
London

London Headquarters

49-51 Borough Road, London, United Kingdom, SE1 1DN

New York

New York Office

205 W 37th St, New York, New York, United States, 10018 5701

3 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software
Designs technical solutions for complex enterprise software opportunities, leading discovery workshops, integration architecture, technical evaluations, RFPs, security reviews, proofs of concept, and customer demonstrations. Partners with Sales and Product Engineering to secure technical wins, test new capabilities, and develop reusable architectures, integration assets, demo environments, and technical presentations for insurance customers.
3 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software
Staff Product Engineer responsible for setting technical direction across Model Authoring teams, establishing engineering standards, owning shared infrastructure and technical interfaces, and solving complex product problems hands-on. The role requires product focus, architectural leadership in ambiguous environments, cross-team influence, AI-native engineering experience, and mentoring. The engineer will help define trustworthy agentic development practices and build tools supporting actuarial pricing model creation and management.
3 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software
Own end-to-end delivery of production-grade Python models, from scoping and development through testing, iteration, and customer deployment. Collaborate with actuarial teams and stakeholders to solve complex modeling and coding problems, improve development standards, conduct code reviews, and mentor junior developers. The role applies predictive modeling and advanced analytics in data-heavy environments while requiring ownership of ambiguous problems and direct customer engagement.