Data Quality Engineer – AI Pre-Training Data

Methodfi; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading AI research company in Greater London seeks a Data Quality Engineer to ensure high standards for training data. The role involves designing automation for quality checks and working alongside pre-training teams. Ideal candidates will have strong engineering skills, experience with large datasets, and proficiency in Python. The company offers competitive compensation, health benefits, and opportunities for team connections.

Benefits

Top-tier compensation

Comprehensive medical, dental, vision insurance

Fully paid parental leave

Paid time off and relocation support

Daily lunch and team celebrations

Qualifications

• Strong engineering fundamentals with experience in data pipelines.
• Detail-oriented with an analytical mindset for quality issues.
• Solid understanding of data quality impacts on pre-training.
• Experience with automated quality checks.
• Comfortable working autonomously and collaborating with teams.

Responsibilities

• Own upstream data quality for LLM pre-training.
• Translate requirements into measurable quality signals.
• Design and validate automated QA methods.
• Build reusable QA pipelines for model training.
• Monitor and report on data quality over time.

Skills

Proficiency in Python

Building ML/LLM workflows

Experience with large datasets

Excellent communication skills

Automated evaluation systems

Job description

A leading AI research company in Greater London seeks a Data Quality Engineer to ensure high standards for training data. The role involves designing automation for quality checks and working alongside pre-training teams. Ideal candidates will have strong engineering skills, experience with large datasets, and proficiency in Python. The company offers competitive compensation, health benefits, and opportunities for team connections.