Related skills
cloud azure mysql python gcpπ Description
- Contribute to core app stack: backend services, APIs, data workflows.
- Design systems to ingest, organise and serve multi-modal data.
- Develop robust ETL pipelines for onboarding new datasets quickly.
- Build internal tools for ML scientists to access clean data.
- Contribute to data model schemas for evolving sources.
- Architectural decisions across app, DB and infrastructure.
π― Requirements
- Strong software engineering across backend and frontend systems.
- Experience designing APIs, application services and data-intensive systems.
- Hands-on with databases and data pipelines; design schemas.
- Experience across multiple data modalities or complex datasets.
- Cloud experience; deploy production infra on a major cloud provider.
- Ability to work independently in ambiguous, fast-moving environments.
- Builder mentality; practical, hands-on, wearing multiple hats.
- UK-based or willing to relocate to the UK; travel to London regularly.
π Benefits
- Remote-first culture with async collaboration.
- Regular travel to London and Oxford (2β8 days/month).
- Take ownership and shape foundational engineering.
- Small, high-calibre team with impact-focused work.
- Flexible work environment and supportive culture.
- Collaborative cross-functional team with ML scientists.
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