Senior Machine Learning Engineer

Metrea; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading defense company is seeking a Senior Machine Learning Engineer to design and implement production-grade ML systems. The role involves collaboration with data scientists and engineers, focusing on innovative ML approaches. Candidates should have strong software engineering skills and a passion for operationalizing ML in the Defense sector. Join a dynamic team to transform complex challenges into actionable insights.

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

Qualifications

• Experience in production ML systems.
• Understanding of the full ML lifecycle.
• Ability to mentor junior team members.

Responsibilities

• Design and implement production-ready ML systems.
• Build ML pipelines for automated Solution Engine.
• Mentor junior team members.

Skills

Software Engineering

MLOps

Communication

Collaboration

Problem Solving

Tools

Docker

Kubernetes

Azure

Job description

Join to apply for the Senior Machine Learning Engineer role at Metrea

2 weeks ago Be among the first 25 applicants

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

1. Design and implement production-ready ML systems for time-series data and object detection, collaborating with data scientists and engineers.
2. Build ML pipelines and infrastructure for an automated Solution Engine, handling live, batch, and synthetic data.
3. Develop scalable infrastructure for LLM deployments, including capacity planning and performance optimization.
4. Create reusable tools and frameworks to streamline ML deployment across various use cases.
5. Mentor junior team members and foster a collaborative environment.
6. Stay updated on emerging trends in MLOps, cloud architecture, and deployment strategies in Defense applications.

Skills and Experience

1. Strong software engineering background with experience in production ML systems.
2. Understanding of MLOps practices and full ML lifecycle.
3. Experience building ML pipelines and infrastructure, including recent developments like MCP.
4. Proficiency with Docker, Kubernetes, and cloud platforms (Azure preferred).
5. Experience with resource planning and troubleshooting for high-demand ML serving.
6. Excellent communication skills for interdisciplinary collaboration.
7. Ability to work effectively in a fast-paced environment.
8. 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