Shape the future of AI safety by building data pipelines. Design and build scalable data pipelines and environments to handle petabytes of logs, events, and model outputs. Develop internal APIs and tools that enable engineering and research teams to access data seamlessly without infrastructure complexity.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
White Circle - Data DATA ENGINEER
LOCATION: LONDON
SALARY: £110,000 + Equity
Shape the future of AI safety by building data pipelines that handle massive scale, your work will power innovation across research and production.
THE OPPORTUNITY
The company is a fast-growing AI safety organization focused on building the reliability and optimization layer for AI systems. Its core platform uses natural-language policies to define what AI models should and shouldn’t do, automatically testing and enforcing these rules at scale. Backed by $11M in funding from leading investors and senior figures at major AI and tech firms, the company processes over 100 million API calls monthly.
It also fine-tunes and trains its own large language models to deliver faster and more cost-effective performance than open or proprietary alternatives. The team is small, highly focused, and committed to solving hard problems with real-world impact. Employees enjoy a collaborative environment where work ships quickly to production and directly influences the future of AI safety.
ROLE AND RESPONSIBILITY
This role focuses on designing and building scalable data pipelines and environments to handle petabytes of logs, events, and model outputs. You’ll develop internal APIs and tools that enable engineering and research teams to access data seamlessly without infrastructure complexity. Responsibilities include optimizing performance for analytics workloads and enforcing governance, permissions, and security policies.
Strong proficiency in SQL and Python is essential, along with experience in modern data stacks such as Snowflake, ClickHouse, and event streaming technologies. Familiarity with dashboarding tools like Metabase or Tableau is a plus. This is an opportunity to make a significant impact in a fast-paced, AI-driven environment with competitive salary, equity, and relocation support.
INTERVIEW PROCESS
- CV Review and Introductory Conversation
- Technical Interview - Deep Technical Conversation
- Product Interview - Evaluating Communication and Collaboration with ML
Apply today and be part of shaping the future of AI safety!