Data Quality Lead - AWS/Python/ML – Manchester
Fully remote working
Duration 2 Months
Day rate – Outside IR35 upto £650
A leading client in Manchester is hiring an ML Data Quality Lead to run a sprint-based program, with most technical tasks front‑loaded. The role fills a key gap, overseeing data quality, validation, and model input integrity for a complex machine learning pipeline under tight deadlines.
Key duties include managing the end‑to‑end data and model validation process—from raw data ingestion through output auditing. Tasks cover adversarial test design, feature normalization, data quarantine, privacy‑preserving ML, and ensuring model decisions are auditable.
Key skills and responsibilities,
- Practical experience in designing and running adversarial test suites for machine learning models in both production and near‑production settings.
- Skilled in applied ML data engineering, including feature normalization, building data validation pipelines, and implementing scalable quality rules.
- Knowledge of privacy‑preserving machine learning techniques such as data minimization, managing consent, and understanding differential privacy concepts.
- Experienced in defining ML output formats that can be audited, as well as setting up structured logging to track model decisions.
- Acquainted with data governance standards, including crafting retention policies, meeting data residency obligations, and designing tenancy models.
- Proven ability to deliver results in high‑pressure program launches, as opposed to only working on standard project‑based assignments.
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