Computational Engineer (Wildfire and Meteorology)

Company Overview

Metrea delivers effects-as-a-service to national security partners across five domains and more than a dozen mission areas. These include airborne ISR electronic warfare secure communications aerial refuelling special air missions aerial firefighting and advanced simulation. We own the whole stack: designing building and operating turnkey capabilities that give our partners decisive asymmetric advantage against rapidly evolving threats.

Our operating model is built around three interlocking pillars. The Support Groups provide a global shared-service spanning people finance platform operations legal and engagement. This frees up our Core Groups who develop and own mission capabilities end-to-end to focus entirely on delivery. The Market Groups apply a regional lens ensuring that our agile and adaptable capabilities remain aligned to the wicked problems that matter most to our partners across the Americas EMEA and Asia-Pacific.

At the heart of our model is a simple but powerful idea: be a true partner with skin in the game. Our partners need effects not just equipment. By owning the full stack from the lab to the field we are able to drive a continuous cycle of innovation that keeps our partners ahead. Its a fast-moving intellectually demanding environment where talented people are given real responsibility work on problems that matter and contribute to an enterprise that is growing quickly and deliberately.

Headquartered in Washington DC with facilities across the United States the United Kingdom as well as Continental Europe and Asia-Pacific.

Group Overview

TheDigital and Synthetic Capability Unit (D&S)is committed to providing mission-driven information solutions that seamlessly bridge the digital and physical realms. Leveragingcutting-edgetechnologies and advanced platforms we empower operational readiness and elevatesituational awareness across diversedomainsincluding air maritime and space.

Position Summary

We are seeking a Computational Scientist with a strong background in wildfire and environmental modelling to join our Digital & Synthetic Capability Unit. This role focuses on developing improving and operationalising wildfire prediction models to support our firefighting training simulator and enterprise-level decision tools.

You will design and implement numerical and statistical modelling approaches for wildfire spread and coupled atmospheric processes run simulations in an automated and scalable HPC environment and apply downscaling or bias-correction techniques to improve local prediction fidelity. The role requires translating scientific models into robust production-quality tools that can be integrated into training systems and operational workflows.

In addition you will contribute to the development of high-fidelity scientific visualisation pipelines within Unreal Engine ensuring that wildfire and meteorological simulation outputs are transformed into accurate real-time representations for immersive training and scenario analysis.

The successful candidate will combine scientific depth with practical software engineering capability enabling models to be executed reliably at scale and integrated into decision-making processes across the organisation.

What Youll Do

• Create and improve custom solvers for wildfire modelling and weather simulations
• Explore hybrid physicsstatistical modelling approaches to enhance wildfire spread prediction
• Develop scripts tools and frameworks to automate endtoend simulation workflows
• Run HPC simulations including job submission monitoring and resource optimization on cluster environments
• Profile benchmark and optimize simulation performance across CPU and GPU architectures
• Apply statistical downscaling methods to improve local area weather modelling capabilities
• Contribute to scientific visualisation pipelines including preparation of wildfire and meteorological datasets for real-time rendering in Unreal Engine

What You Bring

• Strong background in scientific computing with experience in C/C and Python preferred
• Proficiency in scripting languages for workflow automation
• Handson experience with HPC environments (job schedulers cluster management parallelisation)
• A strong background in fire modelling
• Experience implementing downscaling upscaling or bias-correction methodologies for environmental datasets
• Understanding of numerical methods optimisation and simulation techniques
• Ability to translate research prototypes into maintainable production-quality scientific software
• Experience working with cloud platforms preferably Microsoft Azure for compute data or workflow deployment
• Ability to design experiments evaluate model performance and communicate technical findings clearly to both technical and non-technical stakeholders
• Familiarity with version control systems (Git preferred) and collaborative development workflows

In addition to the above any of the following would be beneficial:

• Postgraduate degree (Masters or PhD) in Physics Mathematics Engineering or related disciplines
• Pass Baseline Personnel Security Standard (BPSS)

Benefits

• Private Medical Insurance
• Subsided gym membership / plans throughWellhub
• Electric Car scheme
• Cycle to work scheme
• Free lunch on office days
• Enhanced Parental Leave
• 30 days annual PTO plus b/h
• Bonus Scheme
• Personal development opportunities

Right to Work

The employee will have the legal right to work in the(relevant country)and will be able to producerightto work documentation.

Equal Opportunities Statement

Metrea Management Limited (MAM) s an Equal Opportunity Employer. Employment decisions are made without regard to race colour religion sex sexual orientation gender identity national origin disability or other characteristics protected by law.

Position Type and Expected Hours of Work

This is a full-time non-exempt position with typical working hours of Monday through Friday 9:00 a.m. to6:00p.m. Hours and work shifts may changein accordance withdepartment and business needs. Exempt Employees must have the ability to be on-call and available as business needs require. Non-Exempt employees maybe requiredto work over40hours per week with approval from the department manager.

Work Location

London

Work Environment

This joboperatesin an office setting

Travel

Occasional

Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1