Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Principal Machine Learning Engineer – Cyber Security | Dubai
We’re partnered with a leading Cyber Security organisation in Dubai to hire a Principal Machine Learning Engineer. This role is ideal for a seasoned data science professional — someone with 10+ years’ experience applying machine learning to complex, high-impact problems — and a deep technical interest in cyber defence.
You’ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of AI, data, and cyber security, you’ll drive innovation while remaining deeply involved in technical delivery.
Key Responsibilities
- Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
- Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
- Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
- Evaluate emerging technologies and research to continuously evolve the organisation’s ML stack.
- Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
Requirements
- 10+ years of experience in data science, machine learning, or applied AI, with a focus on hands-on technical work.
- Strong background in cyber security, ideally with experience in malware analysis, SOC operations, or threat intelligence.
- Proven record of building production-grade ML systems and data architectures.
- Advanced proficiency in Python, TensorFlow/PyTorch, and distributed data technologies (Spark, Kubernetes, etc.).
- Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
- Strong communicator and problem-solver, able to operate both strategically and technically.
Key Skills
Ranked by relevanceReady to apply?
Join Jex Recruitment | Connecting top talent with leading companies and take your career to the next level!
Application takes less than 5 minutes