Senior AI/ML Engineer – Cyber Intelligence

Rosie's People

contract

Posted on: 3/5/2026

Location Type: Remote

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About the role

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
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
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

Hold an 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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

NLPknowledge graphMLOpsLLMPythonPyTorchTensorFlowAI/ML systemscybersecurity datathreat intelligence

Soft Skills

collaborationcommunicationresearchtechnical roadmap contribution