We’re looking for an experienced and entrepreneurial engineer to join as one of our first hires.
This is a hands-on leadership role that combines deep data science and AI expertise, robust
backend/data infrastructure development, and the opportunity to shape the technical DNA of our company.
You’ll lead the buildout of our AI systems and platform, shape our MLOps strategy, and
ultimately grow and lead a world-class engineering team.
What You’ll Do;
* Build core data infrastructure, pipelines, and ML systems from scratch using Python (70+%), GCP, AWS, and Kubernetes.
* Research & deploy advanced AI/ML models tailored to real-world use cases
* Own the full MLOps lifecycle: model development, deployment, monitoring, and iteration.
* Recruit & lead a high-performance team of engineers and data scientists.
* Collaborate closely with the co-founders and advisors to align tech execution with business goals.
* Help define technical culture, standards, and processes as a founding team member.
What We're Looking For;
* 7+ years of hands-on experience in data science, software engineering, or MLOps.
* Proven ability to ship production-grade AI/ML systems.
* Deep expertise in Python, plus strong experience with data engineering, cloud infrastructure (GCP/AWS), and container orchestration (Kubernetes).
* Past experience in early-stage, high-growth tech companies—ideally in Defence Tech, AI infrastructure, or enterprise SaaS.
* Comfortable operating in high-ambiguity environments and making architecture decisions.
* Based in, or willing to relocate to, London or Europe.