Data Platform Lead β€” Robotics AI & Scale

Data Platform Lead β€” Robotics AI & Scale

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead the development of a data platform for robotics AI and scale data processing.
  • Company: Innovative robotics company based in London with a focus on cutting-edge technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting challenges and career advancement potential.
  • Why this job: Join a team shaping the future of robotics and make a significant impact.
  • Qualifications: Experience in software engineering and a passion for data and robotics.

The predicted salary is between 80000 - 100000 Β£ per year.

the company in London is hiring a Sr./Staff Software Engineer to join our Data Engineering team.

You’ll help build a data platform powering the company robots and scale data processing across petabyte-scale datasets.

You will define architecture, make key decisions, and work closely with ML researchers to improve MLOps and evaluation workflows while delivering transparent data dashboards for stakeholders. #J-18808-Ljbffr

Data Platform Lead β€” Robotics AI & Scale employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Data Platform Lead β€” Robotics AI & Scale

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration