Build the model tooling and data foundations behind Phronel and the Caplia Readiness Index (CRI): the intelligence that tells the ecosystem how ready a company really is.
UK Full-time Hybrid
Why this role matters
Every score Caplia produces has to be private, consistent and backed by evidence. You'll build the systems that make that true, from the data the models learn from to the evaluation that proves they work against real capital outcomes.
What you'll own
- 01 Model pipelines Training, evaluation and deployment for Phronel, end to end.
- 02 Data foundations The datasets behind readiness scoring and traction signals, versioned and clean.
- 03 Evaluation on outcomes Checks that measure our models against what actually happened to companies.
- 04 Private by design Models that run on our own infrastructure and never train on customer data.
What you'll bring
- Production ML experience, not just notebooks
- Strong Python, data pipelines and model evaluation
- You own problems end to end, from data to deployment
- Curiosity about how capital finds the strongest companies
Nice to have
- Experience with LLM fine-tuning or evaluation
- Work in fintech, venture or financial risk
How we work 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.
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