Founding Machine Learning Engineer | Defence Start Up
—
Machine Learning Engineer 📍 London (Onsite) | 🚀 Series A ($50M raised) | 💰 Top-Tier Salary + Equity The Opportunity We’re partnered with a next-generation defence manufacturing startup that has just secured a $50M Series A and is scaling aggressively. Built by a world-class team (ex-Palantir and elite engineering backgrounds), they’re developing cutting-edge systems at the intersection of machine learning, software, and real-world deployment. This is a high-velocity, scrappy environment with the backing, ambition, and technical bar to build something category-defining. What You’ll Be Doing • Design, build, and deploy production-grade machine learning models • Work on end-to-end ML systems—from data ingestion and training to deployment and monitoring • Partner closely with engineers to integrate ML into real-world, mission-critical systems • Experiment rapidly, iterate, and ship solutions into live environments • Tackle ambiguous, high-impact problems with a pragmatic, hands-on approach What They’re Looking For • Strong experience in machine learning engineering (not just research) • Proven ability to deploy and scale ML systems in production • Comfortable being language agnostic—choosing the right tools for the job • Solid software engineering fundamentals • Thrives in a fast-paced, unstructured startup environment • Interest in defence, hardware-adjacent systems, or real-world ML applications Tech Environment • Flexible stack: Python, C++, Rust, Go, etc. • Modern ML frameworks and infrastructure • Built for performance, scalability, and real-world constraints Why Join? • Backed by a $50M Series A—serious capital and momentum • Work alongside a world-class, deeply technical team • Unlimited budget to build the right solutions • High ownership and autonomy from day one • Top-tier salary + meaningful equity • Opportunity to deploy ML in real, high-stakes environments
No hard skills extracted
| Skill | Source | Confidence |
|---|---|---|
| Collaboration | llm_soft |
80%
|
| Problem-Solving | llm_soft |
80%
|
| Adaptability | llm_soft |
80%
|
| Self-Management | llm_soft |
80%
|
| Initiative | llm_soft |
80%
|
| Continuous Improvement | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Founding Machine Learning Engineer | Defence Start Up | extracted | 3509 | 2026-03-22 02:07 | |
| Founding Machine Learning Engineer | Defence Start Up | classified | 483 | 2026-03-21 20:55 | |
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"job_description": "Machine Learning Engineer\n\n📍 London (Onsite) | 🚀 Series A ($50M raised) | 💰 Top-Tier Salary + Equity\n\nThe Opportunity\n\nWe’re partnered with a next-generation defence manufacturing startup that has just secured a $50M Series A and is scaling aggressively.\n\nBuilt by a world-class team (ex-Palantir and elite engineering backgrounds), they’re developing cutting-edge systems at the intersection of machine learning, software, and real-world deployment.\n\nThis is a high-velocity, scrappy environment with the backing, ambition, and technical bar to build something category-defining.\n\nWhat You’ll Be Doing\n• Design, build, and deploy production-grade machine learning models\n• Work on end-to-end ML systems—from data ingestion and training to deployment and monitoring\n• Partner closely with engineers to integrate ML into real-world, mission-critical systems\n• Experiment rapidly, iterate, and ship solutions into live environments\n• Tackle ambiguous, high-impact problems with a pragmatic, hands-on approach\n\nWhat They’re Looking For\n• Strong experience in machine learning engineering (not just research)\n• Proven ability to deploy and scale ML systems in production\n• Comfortable being language agnostic—choosing the right tools for the job\n• Solid software engineering fundamentals\n• Thrives in a fast-paced, unstructured startup environment\n• Interest in defence, hardware-adjacent systems, or real-world ML applications\n\nTech Environment\n• Flexible stack: Python, C++, Rust, Go, etc.\n• Modern ML frameworks and infrastructure\n• Built for performance, scalability, and real-world constraints\n\nWhy Join?\n• Backed by a $50M Series A—serious capital and momentum\n• Work alongside a world-class, deeply technical team\n• Unlimited budget to build the right solutions\n• High ownership and autonomy from day one\n• Top-tier salary + meaningful equity\n• Opportunity to deploy ML in real, high-stakes environments",
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