At a Glance
- Tasks: Own the ML stack, optimise training, and create tools for scalable deployment.
- Company: Join a pioneering team at Dex, focused on critical domain foundation models.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a small, dynamic team with a focus on innovation.
- Why this job: Shape engineering culture and drive impactful projects in a research-driven environment.
- Qualifications: Experience in machine learning and strong coding skills required.
The predicted salary is between 70000 - 90000 £ per year.
Dex is building foundation models for critical domains and seeks a senior, hands-on engineer to own the ML stack from code to training workflows. You’ll shape the engineering culture in a small, research-heavy team and drive production readiness for multi-GPU distributed training and backend delivery to customers.
You will ship model code, optimize training, and create tooling to support experiments, performance profiling, and scalable deployment, while maintaining robust, production-grade.
Founding ML Engineer: Production-Ready Physics Models in London employer: Dex
Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.
