Senior Foundation ML Engineer - Remote + Equity in Oxford

Senior Foundation ML Engineer - Remote + Equity in Oxford

Oxford Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Cross Border Talents

At a Glance

  • Tasks: Lead the development and optimisation of next-gen foundation models in a hands-on role.
  • Company: Venture-backed AI startup in London with a focus on innovation.
  • Benefits: Remote work, equity options, and competitive salary.
  • Other info: Collaborative environment with opportunities for significant impact.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: Experience in machine learning and large-scale system architecture.

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

Cross Border Talents is assisting a venture-backed AI startup in London to recruit a Senior Machine Learning Engineer (Foundation Models) to lead development, optimisation, and production deployment of a next-generation foundation model. This deeply technical, hands-on role involves architecting large-scale ML systems, optimising distributed training and inference, and building GPU-accelerated infrastructure in collaboration with the founders.

Senior Foundation ML Engineer - Remote + Equity in Oxford employer: Cross Border Talents

Cross Border Talents is an exceptional employer, offering a dynamic work environment in the vibrant city of Bristol, where innovation meets real-world application. Employees benefit from a collaborative culture that fosters professional growth and development, alongside opportunities to work on cutting-edge technology in autonomous robotics. With a focus on practical solutions and a commitment to employee well-being, this role promises meaningful contributions to the future of AI and robotics.

Cross Border Talents

Contact Details:

Cross Border Talents Recruitment Team

We think you need these skills to ace Senior Foundation ML Engineer - Remote + Equity in Oxford

Machine Learning
Foundation Models
Large-Scale ML Systems Architecture
Distributed Training Optimisation
Inference Optimisation
GPU-Accelerated Infrastructure
Technical Leadership