Safety Engineer (Data)
Hybrid (London)Full-timePosted 1mo ago
About the role
We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production.
Responsibilities
- Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation.
- Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists.
- Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar.
- Build evaluation workflows for models in production, using real-world data to track performance and surface issues.
- Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what 'training-ready' looks like.
Qualifications
- Experience as a Data Scientist, or similar, working with real-world datasets and ML models.
- Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation.
- Comfortable with Python and SQL for analysis and practical data workflows.
- Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions.
- Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment.
Skills
Required:Data Scientist experience with real-world datasetsDataset quality practicesPythonSQL
Benefits
- Innovative culture
- Growth paths
- Learning & development: annual discretionary stipend
- Social travel: annual discretionary stipend to meet up with colleagues
- Annual company offsite
- Co-working stipend
Last updated Oct 14, 2026. Interested? Apply on the company site.
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