We're looking for a skilled AI Data Engineer to help shape and scale the data foundations that power our machine learning and AI innovation. The role involves transforming raw data into production ready AI datasets, optimising data infrastructure for demanding ML workloads, and ensuring reliability, governance, and performance across the entire AI lifecycle.
Requirements
- Contribute to the design and implementation of end-to-end data pipelines that support AI and ML workflows
- Work with senior engineers to select and implement data storage solutions, processing frameworks, and orchestration tools
- Design, build, and maintain scalable batch and streaming data pipelines for AI/ML evaluation and use cases
- Prepare, clean, transform, and version datasets for model training and inference
- Collaborate with data scientists and ML engineers to support model training, evaluation, and deployment
- Ensure data quality, reliability, and monitoring across AI pipelines
- Implement data validation, schema enforcement, and anomaly detection
- Apply best practices for data security, privacy, and compliance
- Full lifecycle development (design, implementation, documentation, testing and ongoing support) of integrations to agreed requirements.
Benefits
- Visas
- Generous Leave
- Pension Scheme
- Health & Well-being
- Work-Life Balance
- Perks