Senior ML Engineer - Multi-Scale AI for Hardware

Senior ML Engineer - Multi-Scale AI for Hardware

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Orbital

At a Glance

  • Tasks: Architect AI systems for innovative hardware design and drive cutting-edge ML research.
  • Company: Orbital, an AI-first industrial company revolutionising technology from the ground up.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on pushing technological boundaries.
  • Why this job: Join a pioneering team and shape the future of AI in hardware technology.
  • Qualifications: Experience in machine learning and a passion for innovative engineering.

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

Orbital, an AI-first industrial company building hardware from the atoms up, is seeking a Senior Machine Learning Engineer.

You will architect AI systems for multi-scale design of physical technologies, enabling simulations from atoms to fluids in 1GW data centers.

You will set high engineering standards, drive production deployment, and push frontier ML research across foundation models, generative AI, and domain agents, collaborating with cross-disciplinary teams.

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Senior ML Engineer - Multi-Scale AI for Hardware employer: Orbital

At Orbital, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Strategic Customer Success Lead role offers not only competitive benefits but also ample opportunities for professional growth and development in the dynamic field of global B2B payments. Located in a vibrant area, our team enjoys a supportive environment where creativity and strategic thinking are encouraged, making it a truly rewarding place to advance your career.

Orbital

Contact Details:

Orbital Recruitment Team

We think you need these skills to ace Senior ML Engineer - Multi-Scale AI for Hardware

Machine Learning
AI System Architecture
Multi-Scale Design
Simulation Techniques
Production Deployment
Foundation Models
Generative AI