Our client, a cutting-edge technology company, is looking to revolutionise cybersecurity through cutting-edge AI and solve complex challenges in risk management, operational resilience, and compliance.
Requirements
- Advanced degree in Computer Science, AI/ML, Mathematics, or related technical field
- 5+ years building production AI/ML systems, preferably in security/compliance/fintech domains
- Deep expertise in NLP frameworks (spaCy, Hugging Face, OpenAI APIs)
- Proven experience with knowledge graph technologies (Neo4j, Amazon Neptune, or similar)
- Strong background in LLM/RAG implementation and optimisation
- Production experience with Python, PyTorch/TensorFlow, MLOps, and cloud platforms (AWS/Azure/GCP)
- Understanding of cybersecurity frameworks (NIST, ISO 27001, SOC 2, DORA, OWASP)
Responsibilities
- Architect and deploy production-grade NLP models for security document analysis and threat detection
- Build sophisticated knowledge graphs connecting security assets, vulnerabilities, and regulatory requirements
- Implement advanced LLM/RAG systems for intelligent security advisory capabilities
- Design robust MLOps pipelines ensuring model reliability and continuous improvement
- Optimise model performance for real-time cyber risk applications
- Collaborate with security experts to translate domain knowledge into AI solutions
- Shape our client's AI roadmap and contribute to our unique competitive advantages
Other
- Ability to work independently with minimal oversight
- Excellent communication skills for cross-functional collaboration
- Track record at early-stage companies or high-growth environments
- Advanced degree in Computer Science, AI/ML, Mathematics, or related technical field
- 100% remote, part-time role (8-10 hours, flexible)
