Senior RL Data Engineer: End-to-End Pipelines & QA

United States Digital Space LLC; Greater London; Hybrid; GBP 242,332 - 367,285; Full time

Benefits offered by this job

Generous vacation and parental leave

Flexible working hours

Office space for collaboration

Job summary

United States Digital Space LLC is seeking a Senior Engineer in Greater London to develop and manage data pipelines for AI systems. This role involves significant responsibilities, including ensuring the quality of reinforcement learning data, collaborating with various teams, and innovating operational frameworks.

The ideal candidate will possess strong software engineering skills, have a background in leading major projects, and be passionate about the societal impacts of technology. Benefits include competitive compensation, flexible working hours, and a supportive team environment.

Qualifications

• A track record of owning major projects end‑to‑end in fast-paced environments.
• Ability to lead and inspire others while planning workstreams effectively.
• Strong understanding of programming languages and tools.

Responsibilities

• Own significant parts of our stack from technical architecture to operations.
• Build data collection pipelines and improve QA frameworks.
• Harden execution environments for training scalability.

Skills

Software engineering skills in Python or TypeScript

Experience with Docker and Kubernetes

Effective use of AI tools

Strong data engineering skills

Understanding of societal impacts of work

Education

Bachelor’s degree or equivalent

Tools

Cloud infrastructure

Job description

United States Digital Space LLC is seeking a Senior Engineer in Greater London to develop and manage data pipelines for AI systems. This role involves significant responsibilities, including ensuring the quality of reinforcement learning data, collaborating with various teams, and innovating operational frameworks.

The ideal candidate will possess strong software engineering skills, have a background in leading major projects, and be passionate about the societal impacts of technology. Benefits include competitive compensation, flexible working hours, and a supportive team environment.