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aws python recommendation systems feature engineering ranking📋 Description
- Design and build generative AI apps for complex financial/legal workflows.
- Drive end-to-end model development and deployment with reproducible research.
- Collaborate cross-functionally; mentor teammates.
- Translate complex problems into scoped bets in a startup style.
- Learn and apply new research; iterate with a fail-fast mindset.
- Help lead AI adoption across 9fin.
🎯 Requirements
- Deep experience building recommender systems across feeds and ranking.
- Learning to Rank: pointwise/pairwise/listwise incl. reranking.
- User Modelling & Behavioural ML: intents, preferences, sequences.
- Product Analytics & Telemetry: instrumentation and event design.
- Experimentation & Evaluation: A/B tests and online/offline methods.
- Production ML Engineering: pipelines, online/batch inference, low-latency ranking; Python; AWS.
🎁 Benefits
- Competitive salary, equity, pension and private medical insurance
- 25 holidays + public holidays with swaps; hybrid working
- Work abroad up to 3 months/year; 1 month sabbatical after 5 years
- Enhanced parental leave and flexible working arrangements
- AI experimentation budget of £800 per employee (UK) and training budget
- Equal opportunities employer
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