AI Data Quality Engineer: Ensure Safe, Reliable Models

Methodfi; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A tech company in London seeks a data quality engineer to ensure high data standards for training AI models. Responsibilities include owning upstream data quality, designing automation for QA, and collaborating with researchers. Ideal candidates should possess proficiency in Python, experience with large datasets, and excellent communication skills. This role offers top-tier compensation and comprehensive health benefits, facilitating impactful work and work-life balance.

Benefits

Top-tier compensation

Comprehensive medical, dental, and vision insurance

Fully paid parental leave

Paid time off and relocation support

Daily lunch and team celebrations

Qualifications

• Strong engineering fundamentals with experience building data pipelines.
• Detail-oriented with an analytical mindset for detecting data quality issues.
• Experience designing and validating automated quality checks.

Responsibilities

• Own upstream data quality for LLM post-training and evaluation.
• Partner with research teams to translate requirements into measurable quality signals.
• Design, validate, and scale automated QA methods.

Skills

Proficiency in Python

Experience with ML / LLM workflows

Working with large datasets

Excellent communication skills

Job description

A tech company in London seeks a data quality engineer to ensure high data standards for training AI models. Responsibilities include owning upstream data quality, designing automation for QA, and collaborating with researchers. Ideal candidates should possess proficiency in Python, experience with large datasets, and excellent communication skills. This role offers top-tier compensation and comprehensive health benefits, facilitating impactful work and work-life balance.