Senior Foundation ML Engineer - Remote + Equity in Bristol

Senior Foundation ML Engineer - Remote + Equity in Bristol

Bristol Full-Time 60000 - 84000 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: Join Cross Border Talents, a forward-thinking company at the forefront of AI innovation.
  • Benefits: Enjoy remote work flexibility, equity options, and competitive compensation.
  • Other info: Collaborate directly with founders in a dynamic, hybrid London environment.
  • Why this job: Make a real impact by tackling complex engineering challenges with cutting-edge technology.
  • Qualifications: Experience in machine learning and large-scale system architecture is essential.

The predicted salary is between 60000 - 84000 Β£ per year.

Cross Border Talents is seeking a Senior Machine Learning Engineer (Foundation Models) to lead development, optimisation, and production deployment of our next-generation foundation model in a hands-on role. You will architect large-scale ML systems, optimise distributed training and inference, and build GPU-accelerated infrastructure, working directly with founders to tackle complex engineering challenges in a hybrid London setting.

Senior Foundation ML Engineer - Remote + Equity in Bristol 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 Bristol

Machine Learning
Foundation Models
Large-Scale ML Systems Architecture
Distributed Training Optimisation
Inference Optimisation
GPU-Accelerated Infrastructure
Engineering Problem-Solving