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nlp python data pipelines large language models production systems📋 Description
- Designed high-accuracy document extraction pipelines across multiple specialty lines.
- Productionised data cleansing within ingestion, improving downstream inputs.
- Defined evaluation-driven development with robust benchmarks.
- Improved evaluation infra for complex ingestion scenarios.
- Partnered with customers during go-live to resolve integration issues.
- Led technical deep-dives to unblock extraction challenges.
🎯 Requirements
- Built and deployed doc extraction systems with measurable accuracy gains.
- Designed evaluation frameworks and datasets for model performance.
- Delivered scalable, observable data processing systems.
- Owned end-to-end AI features from problem framing to production.
- Collaborated across engineering, product and customers.
- Raised technical standards via better experiments and documentation.
🎁 Benefits
- £5,000 training and conference budget.
- 25 days of holiday plus 8 bank holidays (33 days).
- Company pension via Penfold.
- Mental health support via Spectrum.life.
- Private healthcare through AXA.
- Cycle to Work Scheme.
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