At a Glance
- Tasks: Transform research prototypes into production-ready ML models and build distributed training capabilities.
- Company: Join a pioneering tech company at the forefront of machine learning.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Other info: Be part of a dynamic team shaping the future of physics through AI.
- Why this job: Lead innovative projects in a fast-paced environment and make a real impact.
- Qualifications: Strong experience in PyTorch, multi-GPU training, and Python backend development.
The predicted salary is between 70000 - 90000 £ per year.
Dex is seeking a senior ML engineer to own the end-to-end ML stack for foundation models.
You will transform research prototypes into production-ready code, build distributed training capabilities, and own the backend platform that delivers models to customers.
You will lead with hands-on Py Torch experience, multi-GPU training, and strong Python backend expertise in a fast-paced, early-stage environment. #J-18808-Ljbffr
We think you need these skills to ace Founding ML Engineer – Foundation Models for Physics
Machine Learning
PyTorch
Distributed Training
Multi-GPU Training
Python
Backend Development
Production-Ready Code
