Tooling, Proactive Monitoring), managing advanced incident detection, threat hunting, and forensic investigations using platforms like Splunk, Defender, and CrowdStrike Collaborate with Security Engineering and Architecture to integrate AI/ML (e.g., Microsoft Copilot) and emerging security tech for real-time response, smarter automation, and enhanced endpoint/cloud visibility across complex environment Build and maintain strategic relationships across Global Business More ❯
Reading, Berkshire, South East, United Kingdom Hybrid / WFH Options
LA International Computer Consultants Ltd
to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯
Reading, Berkshire, South East, United Kingdom Hybrid / WFH Options
Queen Square Recruitment Limited
Duration: 6 months (with potential for extension) Rate: Inside IR35- Flexible The Role As an AI Security Architect, youll design and implement enterprise-wide security strategies for AI/ML systems, ensuring alignment with best practices, emerging threats, and regulatory requirements. Youll work hands-on and collaboratively with cross-functional teams to embed security into the entire AI/ML … lifecycle from data pipelines to model deployment. Key Responsibilities Architect and implement security controls for AI/ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt … AI regulations (EU AI Act, NIST AI RMF, GDPR, etc.). Support adversarial testing, model bias assessments, and trustworthiness evaluations. Contribute to training and awareness initiatives on AI/ML security best practices. Act as a key stakeholder in AI-related incident response and mitigation. Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on More ❯
to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯