Senior Engineer, Athlete Performance — Real-time ML (Remote)

Hudl

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Remote work options
Flexible vacation
Employee resource groups
Wellbeing resources

Job summary

Hudl in London is hiring a Senior Engineer to join our Athlete Performance group, building hardware-agnostic ingestion layers and time-series architectures that fuse live video with biomechanical data streams for elite coaches and medical teams.

As a Senior Engineer, you’ll collaborate with Engineering, QA, Product, Design and Scrum teams to deliver full-stack features, own your work, and help push the boundaries of real-time data and ML inference.

Qualifications

  • Experienced: you have led or played a key role in developing large-scale applications.
  • A team player: you understand problem-solving is a team effort and will help others learn.
  • User-focused: you’re excited to have your work used by real people to solve real problems.
  • Willing to learn: you have solid engineering skills but are always willing to dive into specific areas to gain expertise.

Responsibilities

  • Work with a cross-functional team to deliver full-stack web features.
  • Develop and deliver features with autonomy to push product boundaries.
  • Test new ideas and propose solutions to ambiguous problems, guiding others.
  • Mentor teammates on development best practices and trade-offs.

Skills

Large-scale applications
Team player
User-focused
Willing to learn
Cross-functional collaboration

Tools

C#/Node
React
TypeScript
MongoDB/SQL/ElasticSearch
AWS

Job description

Hudl in London is hiring a Senior Engineer to join our Athlete Performance group, building hardware-agnostic ingestion layers and time-series architectures that fuse live video with biomechanical data streams for elite coaches and medical teams.

As a Senior Engineer, you’ll collaborate with Engineering, QA, Product, Design and Scrum teams to deliver full-stack features, own your work, and help push the boundaries of real-time data and ML inference.

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