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Caplia Technologies Ltd. in the UK is hiring a ML/Research Engineer to develop and productionize models behind the Caplia Readiness Index (CRI) and traction signals. You’ll design experiments, collaborate with Oxford Saïd Business School, and push ideas from research into scalable production code.
You’ll bring a strong applied ML track record, depth in statistics and experimentation, and a passion for turning insights into actionable capabilities that help identify strong companies.
Research and develop the models behind the Caplia Readiness Index (CRI) and our traction signals, and turn that research into production models.
UK Full-time Hybrid
The CRI is versioned and re-weighted on real capital outcomes. You'll design the experiments that improve it, working with our research collaborators, including Oxford Saïd Business School, and take what works into production.
01 Readiness models Improving how the CRI scores companies across its five areas.
02 Traction signals Models that flag the moment a company's traction moves.
04 Research to production Taking what works from prototype into the product.
A strong applied ML or research track record
Depth in statistics, experimentation and evaluation
You can move from research to production code
Curiosity about how capital finds the strongest companies
Published or applied work in finance, risk or forecasting
Experience working with academic partners
Structure over fragmentation. Clarity over noise. Evidence over instinct. Speed with care.
Caplia is private intelligence for the early-stage ecosystem. Accelerators, funds, angels, early-stage banks, startup awards and founders use the Caplia platform, and Phronel, the private AI agent behind it, to manage company discovery, evaluation and support.