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nlp cloud python machine learning distributed systems📋 Description
- Architect and scale AI/ML systems powering hx's next-gen products.
- Lead design and deployment of LLM-driven workflows and domain ML pipelines for messy data.
- Drive data, modelling, and production infra decisions for performance and scalability.
- Rapidly prototype ideas, validate in live environments, and deploy to production.
- Advance hx's AI strategy: shape technical direction and raise the bar for ML features.
- Mentor engineers; cultivate ML craftsmanship and a culture of curiosity, speed, and rigor.
🎯 Requirements
- Built and operated production-grade ML products in Python; strong software and data processing.
- Designed and scaled distributed, cloud-native pipelines for real-world data.
- Owned AI initiatives from opportunity to deployment and value measurement.
- Communicated ML concepts across engineering, product, and business teams.
- Influenced technical direction and durable engineering practices.
- Delivered AI/ML-powered products end-to-end with rapid experimentation and reliability.
- Nice to have: LLMs in production for NLP or retrieval-use cases.
🎁 Benefits
- Share options at a Series B company
- 25 days holiday + Polish bank holidays
- £5,000 GBP budget for Learning & Development
- Mental Health Support via Spectrum Life
- Private Healthcare via Luxmed + Multisport
- Top-spec work equipment (Mac/Windows, monitors, keyboards)
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