Senior Foundation ML Engineer - Remote/Hybrid + Equity in Cambridge

Senior Foundation ML Engineer - Remote/Hybrid + Equity in Cambridge

Cambridge Full-Time 60000 - 80000 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 AI.
  • Company: Exciting London-based AI startup with an office-first culture.
  • Benefits: Equity, high ownership, and monthly office visits.
  • Other info: Join a dynamic team and make a real impact in the AI space.
  • Why this job: Shape the future of AI while collaborating closely with founders.
  • Qualifications: Experience in machine learning and large-scale system architecture.

The predicted salary is between 60000 - 80000 Β£ per year.

Cross Border Talents is partnering with a London-based AI startup to hire a Senior Machine Learning Engineer (Foundation Models).

You will lead development, optimisation, and production deployment of a next-generation foundation model, architect large-scale ML systems, and collaborate closely with the founders to shape the technical roadmap.

This role offers high ownership, equity, and an office-first culture with monthly visits.

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Senior Foundation ML Engineer - Remote/Hybrid + Equity in Cambridge 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/Hybrid + Equity in Cambridge

Machine Learning
Foundation Models
Development
Optimisation
Production Deployment
Architecting Large-Scale ML Systems
Technical Roadmap Development