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Role Description

This role involves supporting the development of next-generation AI capabilities within a cybersecurity technology platform.

• Contribute to the design and implementation of advanced AI systems capable of interpreting large volumes of security data.
• Focus on building production-ready AI infrastructure that can scale with the platform's evolving capabilities.

What You'll Be Building

• Advanced NLP Systems: Develop natural language processing models capable of extracting structured insight from unstructured documents, threat intelligence feeds, and security reports.
• LLM / Retrieval Systems: Build retrieval-augmented intelligence systems that generate contextual security insights and assist with automated risk analysis.
• Knowledge Graph Architecture: Design dynamic knowledge graph structures that map relationships among assets, vulnerabilities, and regulatory frameworks.
• Real-Time AI Pipelines: Develop scalable ML pipelines that process security data streams and deliver actionable insights.

Key Responsibilities

• AI Architecture & Engineering:
  • Designing and deploying production-grade NLP models for security intelligence analysis.
  • Developing knowledge graph systems connecting assets, vulnerabilities, and compliance frameworks.
  • Building LLM-based intelligence capabilities to support automated cyber risk insights.
• Technical Delivery:
  • Implementing robust MLOps pipelines to support model lifecycle management.
  • Optimising model performance for real-time or near-real-time security analysis.
  • Collaborating with domain specialists to translate cybersecurity concepts into machine learning models.
• Strategic Contribution:
  • Contributing to the technical roadmap for AI capabilities within the platform.
  • Researching emerging AI techniques relevant to cybersecurity and risk analysis.
  • Supporting architecture decisions that enable long-term scalability.

Qualifications

• Advanced degree in Computer Science, AI/ML, Mathematics, or a related technical field.
• 5+ years of experience building production AI/ML systems.
• Strong expertise in NLP frameworks (e.g., spaCy, Hugging Face, OpenAI APIs).
• Experience working with knowledge graph technologies (e.g., Neo4j, Neptune, or similar).
• Hands-on experience with LLM/RAG architectures.
• Strong programming skills in Python with frameworks such as PyTorch or TensorFlow.
• Comfortable working within cloud environments (AWS, Azure, or GCP).
• Experience working with cybersecurity data or threat intelligence.
• Familiarity with frameworks such as NIST, ISO 27001, SOC 2, DORA, or OWASP.
• Experience building ML systems within regulated industries.

Engagement Structure

This role is structured as a fractional technical engagement (approximately 8 hours per week) for experienced engineers interested in contributing to the technical foundation and development of an emerging cybersecurity technology platform at an early stage.

Participation is aligned with the company's current growth phase and is structured around long-term strategic involvement and shared upside as the platform scales.

This opportunity is well-suited to engineers who enjoy solving complex technical problems and contributing to foundational systems in emerging technology environments.