Hybrid Urban-scale Prediction ML Engineer

Met Office

Reading

Hybrid

GBP 26,000 - 43,000

Full time

13 days ago

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Job summary

Met Office in Reading is seeking an Urban-scale Prediction Foundation Scientific Software Engineer to join a world-class team developing 100m-scale urban prediction techniques for small-scale hazards. The role focuses on building and optimizing ML workflows, applying HPC and GPU acceleration, and delivering robust software for routine use.

Based at our Reading hub, you will collaborate with university partners and Met Office teams to advance sub-km urban predictions, document results, and

Qualifications

  • Experience applying ML/AI methods to solve complex problems in scientific software development.
  • Ability to develop, refactor, and optimize ML workflows and software for high-performance computing environments.
  • Ability to collaborate across teams and with university partners to advance urban prediction capabilities.

Responsibilities

  • Contributing to research and software delivery for urban-scale machine learning, including refactoring, modularizing, and optimizing ML workflows; evaluating and adopting emerging algorithms; implementing software best practices; and optimizing code performance across high-performance computing (HPC, including GPUs) and cloud computing platforms.
  • Working closely with colleagues across different teams within the Met Office to ensure consistency of approach and software standardisation.
  • Working collaboratively with partners in UK universities and UM partner organisations to advance partnerships on sub-km/urban prediction applications, noting links with University of Reading scientists.

Skills

Machine Learning
Data Science
HPC
GPUs
Cloud Computing

Tools

HPC
GPUs
Cloud Platforms

Job description

Met Office in Reading is seeking an Urban-scale Prediction Foundation Scientific Software Engineer to join a world-class team developing 100m-scale urban prediction techniques for small-scale hazards. The role focuses on building and optimizing ML workflows, applying HPC and GPU acceleration, and delivering robust software for routine use.

Based at our Reading hub, you will collaborate with university partners and Met Office teams to advance sub-km urban predictions, document results, and

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