ML Research Engineer - Multi-Scale AI for Physical Tech

ORBITAL INDUSTRIES LIMITED; Greater London; On-site; GBP 100,000 - 160,000; Full time

Job summary

Orbital Industries—a frontier AI industrial company—seeks a Machine Learning Research Engineer to architect cutting-edge AI systems for multi-scale physical technologies. You will drive projects from prototype to production, balancing research rigor with scalable engineering and collaborating with domain experts to accelerate impact.

The role emphasizes high-quality code, robust design, and continuous learning in a fast-moving, low-ego team focused on breakthrough industrial AI applications.

Qualifications

• Extensive software engineering and ML experience across training, evaluation and deployment.
• Full ML lifecycle experience from research to production.
• Strong fundamentals in algorithms, linear algebra and probabilistic concepts.

Responsibilities

• Set exceptionally high technical standards for code quality and system design.
• Deliver AI projects across computational chemistry simulations, agentic workflows and more.
• Architect novel ML architectures for scientific domains and push research from concept to deployment.
• Collaborate with domain experts to rapidly upskill and deliver production-ready systems at scale.

Skills

ML research

Software engineering

Systems design

Python

Distributed training

Tools

TensorFlow

PyTorch

Job description

Orbital Industries—a frontier AI industrial company—seeks a Machine Learning Research Engineer to architect cutting-edge AI systems for multi-scale physical technologies. You will drive projects from prototype to production, balancing research rigor with scalable engineering and collaborating with domain experts to accelerate impact.

The role emphasizes high-quality code, robust design, and continuous learning in a fast-moving, low-ego team focused on breakthrough industrial AI applications.