data engineer for AI training environments

The company builds interactive, resettable digital environments where AI agents navigate software, complete tasks, fail, and improve. Its data systems provide a fundamental input for AI systems and training environments.

• Design and build scalable systems for acquiring, ingesting, and integrating large, messy, and varied datasets;
• Develop validation, sanitisation, and PII-removal layers to ensure data safety and quality;
• Solve complex data problems involving duplication, corruption, inconsistent formats, and provenance;
• Make architectural decisions across storage, reliability, observability, security, and cost;
• Ensure reliable, high-quality data availability for AI training environment engineers.

• Experience building and operating substantial production data systems end-to-end, including architecture, implementation, and production behaviour;
• Strong software engineering fundamentals and hands-on coding experience beyond configuring tools;
• Experience with large, complex, or messy datasets, including unstructured text, web, and machine-generated data;
• Ability to articulate challenges associated with complex datasets;
• Sound judgement across storage, processing, reliability, scalability, and cost;
• Ability to discuss technical trade-offs;
• Comfortable with cloud infrastructure and debugging complex production systems.

• Salary up to £200k.