ML Runtime Engineer (Senior) – Inference & Rust in London

ML Runtime Engineer (Senior) – Inference & Rust in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Fractile

At a Glance

  • Tasks: Integrate AI hardware with open source projects and develop a high-performance Rust runtime.
  • Company: Fractile, a fast-paced tech company in London or Bristol.
  • Benefits: Collaborative environment, competitive salary, and opportunities for innovation.
  • Other info: Dynamic workplace fostering creativity and career growth.
  • Why this job: Join a team where your skills in ML and Rust can truly shine.
  • Qualifications: 5+ years in machine learning, strong Python and Rust skills, Computer Science degree.

The predicted salary is between 70000 - 90000 Β£ per year.

Fractile is seeking a Senior ML Runtime Engineer to join their team in London or Bristol. In this role, you'll integrate cutting-edge AI hardware with leading open source projects like PyTorch, and develop a high-performance Rust runtime.

The ideal candidate will have over 5 years of experience in machine learning, excellent skills in Python and Rust, and a degree in Computer Science or a related field.

Fractile offers a fast-paced, collaborative environment where innovation thrives.

ML Runtime Engineer (Senior) – Inference & Rust in London employer: Fractile

Fractile is an exceptional employer that fosters a fast-paced and collaborative work culture, perfect for those passionate about innovation in AI and machine learning. With opportunities for professional growth and the chance to work on cutting-edge projects in vibrant cities like London and Bristol, employees are encouraged to push boundaries and develop their skills in a supportive environment.

Fractile

Contact Details:

Fractile Recruitment Team

We think you need these skills to ace ML Runtime Engineer (Senior) – Inference & Rust in London

Machine Learning
Python
Rust
AI Hardware Integration
Open Source Projects
High-Performance Computing
Collaboration Skills