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Company Overview
Metrea is a defense company dedicated to translating commercial innovation into solutions for the hardest problems in national security. With deep mission expertise, Metrea focuses on delivering effects as-a-service across domains including Air & Space, Electromagnetic & Cyber, and Synthetic. Metrea Management provides central services to eleven global capability units via Operations, Solutions, Strategy, Legal, and Finance teams.
Business Unit
Metrea Digital and Synthetics Group (DSG) combines operational expertise with advanced data analytics and synthetic environments to accelerate defense solutions, transforming complex operational challenges into actionable insights.
Position Summary
We seek an innovative and experienced Machine Learning Engineer to design and implement production-grade ML systems within our Decision Science Laboratory and automated Solution Engine, including synthetic data generators. The role requires expertise in diverse ML approaches such as signal processing, object detection, RAG systems (with emphasis on secure local deployment), and reinforcement learning. The candidate should have strong software engineering skills, deep ML knowledge, and a passion for operationalizing ML systems in the Defense sector.
Role and Responsibilities
- Design and implement production-ready ML systems for time-series data and object detection, collaborating with data scientists and engineers.
- Build ML pipelines and infrastructure for an automated Solution Engine, handling live, batch, and synthetic data.
- Develop scalable infrastructure for LLM deployments, including capacity planning and performance optimization.
- Create reusable tools and frameworks to streamline ML deployment across various use cases.
- Mentor junior team members and foster a collaborative environment.
- Stay updated on emerging trends in MLOps, cloud architecture, and deployment strategies in Defense applications.
Skills and Experience
- Strong software engineering background with experience in production ML systems.
- Understanding of MLOps practices and full ML lifecycle.
- Experience building ML pipelines and infrastructure, including recent developments like MCP.
- Proficiency with Docker, Kubernetes, and cloud platforms (Azure preferred).
- Experience with resource planning and troubleshooting for high-demand ML serving.
- Excellent communication skills for interdisciplinary collaboration.
- Ability to work effectively in a fast-paced environment.
- Defense or Aerospace experience is a plus but not essential.
Our Culture
Metrea’s core value "rooted in humility" is supported by attributes: entrepreneurial, systematic, discerning, and over-delivering. We foster a hyper-collaborative, dynamic, hierarchical organization driven by passion and purpose.
Benefits
- Discretionary Bonus
- 30 Days Annual Leave
- Private Medical Insurance
- Company Pension
- Group Life Insurance
- Disability Protection
- EAP
- Business Travel Insurance
- Cycle to Work Scheme
- Gympass
- Electric Car Scheme
Work Authorization/Security Clearance
Candidate must be able to obtain and maintain SC Clearance.
Additional Details
- Seniority Level: Mid-Senior level
- Employment Type: Full-time
- Job Function: Engineering and IT
- Industry: Defense and Space Manufacturing
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