ML Engineer

Caplia Technologies Ltd.; United Kingdom; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Caplia Technologies Ltd. is building the model tooling and data foundations behind Phronel and the Caplia Readiness Index (CRI). You will help ensure privacy, evidence and rigorous evaluation in every score.

You will own production ML pipelines, data foundations and model evaluation, working end-to-end from data to deployment on Caplia's private infrastructure. The role is UK-based, full-time and hybrid.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Production ML experience

Python

Data pipelines

Model evaluation

Job description

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.