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About
A venture-backed startup at the intersection of AI and national security is building the next generation of secure data sharing technology - and they're looking for a
Machine Learning Engineer
to join the founding team.
This is a chance to work on high-impact problems where speed, security, and trust matter. You'll help design and deploy ML-powered systems that enable intelligence and defence organisations to accelerate decision-making to seconds.
The role Build and scale production-grade ML services, including LLM applications Develop APIs and infrastructure that integrate seamlessly into mission-critical workflows Work hands-on across the stack: from systems and storage through to inference and application layers Tackle complex data security and privacy challenges in real-world environments What they're looking for
Strong coding background in
Python
or
Golang Experience taking
ML/LLM
systems from prototype to production Skills in Kubernetes, Docker, or cloud infrastructure (AWS preferred) Someone who thrives in early-stage environments and enjoys solving hard technical problems Nice to have
Exposure to government, defence, or intelligence systems Background in enterprise-scale search or ML-powered data access Familiarity with security, authentication, or DevOps practices Why apply?
Significant equity Strong health & wellness benefits Work on technology that truly matters in national security Join a small, sharp team where your work will have immediate impact
Languages
- English
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