Senior Machine Learning Engineer

London, England, United Kingdom

6/12/2025

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 a spectrum of domains including Air & Space, Electromagnetic & Cyber, and Synthetic. Metrea Management provides central services to eleven (11) global capability units via Operations, Solutions, Strategy, Legal, and Finance teams 

Business Unit

Metrea Digital and Synthetics Group (DSG) combines deep operational expertise with advanced data analytics and synthetic environments to accelerate the delivery of high-impact defense solutions. Our unique fusion of digital engineering, mission-critical data expertise, and simulation capabilities enables us to rapidly develop and deploy innovative technologies that transform 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 across Defence applications, specifically within our internal Decision Science Laboratory and automated Solution Engine. This will include integrating synthetic data generators. The role requires expertise in implementing diverse ML approaches, including signal processing, object detection, RAG systems (with emphasis on secure local deployment), and reinforcement learning. There is significant scope to shape and drive ML implementation across a wide range of internal use cases. The ideal candidate will have strong software engineering experience combined with deep ML knowledge, and a passion for operationalising advanced ML systems to solve complex challenges in the Defence sector.

Role And Responsibilities

• Design and implement production-ready ML systems for time-series data and object detection, working closely with cross-functional teams of data scientists and engineers
• Architect and build ML pipelines and infrastructure for an automated Solution Engine, including live, batch and synthetic data
• Design and implement scalable infrastructure for LLM deployments, including capacity planning, error handling, and performance optimi s ation
• Create reusable tools and frameworks to streamline ML deployment processes across diverse use cases including signal processing, object detection, RAG systems, and reinforcement learning
• Mentor and manage junior team members in ML engineering best practices and foster a collaborative, innovative environment
• Pursue continuous learning and stay abreast of emerging trends in MLOps, cloud architecture, and deployment strategies across Defence applications
  
  

Skills And Experience

• Strong software engineering background with extensive experience in implementing production ML systems
• Strong understanding of MLOps practices and the full machine learning lifecycle
• Experience building ML pipelines and infrastructure from the ground up, including recent developments, e.g. MCP.
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Proficiency with cloud platforms and MLOps tools; Azure preferred
• Experience with computational resource planning and troubleshooting for high-demand local ML model serving (including handling rate limiting challenges)
• Excellent communication skills, able to bridge technical gaps between data scientists, engineers and deployed operators
• Collaborative mindset and ability to work effectively in a fast-paced, innovative environment
• Prior Defence or Aerospace experience preferred but not essential
  
  

Our culture

Metrea’s single core value “rooted in humility” is supported by four key attributes; entrepreneurial, systematic, discerning & over-deliver which combined; form our Teammate Firmware, our culture. These attributes are explored during the hiring process, when we grow our teams and to continually support the growth of our culture. We are a hyper-collaborative, dynamically hierarchical organization united by a passion for what we do, and how we do it, who we do it with, and who we do it for

Benefits

Discretionary Bonus

30 Days Annual Leave

Private Medical Insurance for employee

Company Pension

Group life insurance

Disability protection

EAP

Business Travel Insurance

Cycle to Work Scheme

Gympass

Electric Car Scheme

Work Authorization/Security Clearance

Employee must be able to have and maintain a SC Clearance, appropriate to the nature of the role