Senior AI/ML Engineer
2 weeks ago
Our client is a cutting-edge technology company that provides scalable, secure, and efficient solutions for cloud computing and data management. They are at the forefront of cybersecurity and compliance innovation, empowering businesses to leverage the latest technological advancements to mitigate risk, optimise operations, and drive growth. They have played a pivotal role in helping to drive digital transformation initiatives for the payments and settlement, fintech, regtech, central banking, e-commerce, insurance, and online government verticals. With a passion for innovation and a demonstrated history of client achievements across multiple jurisdictions, they have embarked on an exciting shift to digital operational resilience and compliance, fuelled by their commitment to technological innovation.
Ready to revolutionise cybersecurity through cutting-edge AI?
Join our client's high-grade AI team and help build the next generation of intelligent cybersecurity solutions. We're enhancing RiskAct with breakthrough AI capabilities that will redefine how organisations approach risk management, operational resilience and compliance. This is your opportunity to work alongside cross-industry experts on transformative technology that matters. They're looking for an exceptional AI engineer who thrives on solving complex challenges and wants to make a lasting impact in cybersecurity. If you're passionate about applying advanced AI to real-world security problems, we want to hear from you.
What You'll Build
Advanced NLP Systems: Develop sophisticated natural language processing models to extract insights from unstructured data, rich documents, and threat intelligence
LLM/RAG Integration: Build retrieval-augmented generation systems that provide contextually-aware security recommendations and automated compliance guidance
Knowledge Graph Architecture: Design and implement dynamic knowledge graphs that map complex relationships between security entities, vulnerabilities, and compliance frameworks
Real-Time AI Pipelines: Create scalable ML infrastructure that processes security data streams and delivers actionable intelligence
Role Overview
Our client is seeking a highly motivated and experienced Senior Data Engineer to join our growing team. As a key member of their AI & Data Science practice, you will play a critical role in designing, building, and maintaining our data infrastructure and pipelines, with a strong focus on security, automation and ethical AI practices. This is a hands-on role with the opportunity to significantly impact the success of our business by driving data-driven decisions and enabling innovative AI/ML model development for advanced risk management.
This is initially an equity-only, 100% remote, part-time role (8-10 hours, flexible), and you'll be joining a high-performing, innovative and international team.
Please ensure you understand what Equity-Only means when applying for the role.
Responsibilities:
AI Innovation Leadership
- 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
Technical Excellence
- 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
Strategic Impact
- Shape our client's AI roadmap and contribute to our unique competitive advantages
- Research emerging AI techniques applicable to cybersecurity and compliance
- Drive technical decisions that will scale with our rapid growth
What They're Looking For
Essential Experience
- 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)
Cybersecurity DNA
- Understanding of cybersecurity frameworks (NIST, ISO 27001, SOC 2, DORA, OWASP)
- Experience with security data formats and threat intelligence
- Knowledge of compliance requirements and risk assessment methodologies
Startup Mindset
- Track record at early-stage companies or high-growth environments
- Ability to work independently with minimal oversight
- Excellent communication skills for cross-functional collaboration
Why join our client?
Industry Impact: Your AI innovations will protect SMEs worldwide from evolving cyber threats
Technical Leadership: Work directly with recognised AI experts and security specialists
Growth Potential: Ground-floor opportunity in a rapidly scaling company with proven market traction
Flexible Excellence: Part-time, remote role designed for maximum impact and work-life balance
Significant Equity: Meaningful ownership stake with substantial upside potential
Apply now and be part of building the intelligent security platform of tomorrow.
#AI #MachineLearning #NLP #KnowledgeGraph #LLM #RAG #Cybersecurity #RemoteWork #Startup
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