Platform Engineer: On-Prem ML & Infrastructure

Platform Engineer: On-Prem ML & Infrastructure

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Dex

At a Glance

  • Tasks: Build robust backend systems for a logistics platform in extreme environments.
  • Company: Join a trusted partner of Dex, leading in innovative tech solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Be part of a small, high-ownership team with a focus on reliability.
  • Why this job: Make a real impact on critical supply routing decisions with cutting-edge technology.
  • Qualifications: Experience in data processing, network optimisation, and machine learning pipelines.

The predicted salary is between 50000 - 70000 £ per year.

Dex and its trusted partner are developing a robust backend for a logistics platform operating in extreme environments.

You will work on data processing, network‑level optimisations, and classical ML pipelines to inform critical supply routing decisions.

The role focuses on reliable, battle‑tested software running on constrained hardware, with a high degree of autonomy in a small, high‑ownership team.

#J-18808-Ljbffr

Platform Engineer: On-Prem ML & Infrastructure 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.

Dex

Contact Details:

Dex Recruitment Team

We think you need these skills to ace Platform Engineer: On-Prem ML & Infrastructure

Data Processing
Network-Level Optimisations
Classical ML Pipelines
Software Development
Embedded Systems
Performance Tuning
Autonomous Systems