£440 Per day
Inside
Remote
City of London, UK
Summary: Security Engineer/SecOps Engineer is required for a central government AI-related project, focusing on cloud, security, and AI/ML knowledge. The role involves conducting security reviews, managing security posture, and implementing threat detection and monitoring. Candidates should have experience in local government or public sector environments, with proficiency in Azure and security operations tools. The position is remote and starts on 8th January.
Key Responsibilities:
- Carrying out security reviews, preparing and submitting security review packs, and remediating identified issues covering infrastructure, code, data handling, IAM, and compliance.
- Managing security posture and configuration, including IAM, network security, data protection, vulnerability management, and compliance/governance.
- Implementing threat detection and monitoring, including SIEM/SOAR, detection engineering, model monitoring for security, and security auditing.
Key Skills:
- Experience in local/central government/public sector.
- Blend of cloud, security, and AI/ML knowledge.
- Proficiency in cloud platforms, particularly Azure.
- Experience with security operations tools such as Microsoft Sentinel, Defender, and Entra ID.
- Understanding of unique AI/ML threats.
- Automation and scripting skills.
- Knowledge of DevSecOps principles.
Salary (Rate): £440 per day
City: City of London
Country: UK
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Security Engineer/SecOps
£440 per day INSIDE IR35
Remote
Start 8th January
please only apply if you can meet the above
Security Engineer/SecOps Engineer needed for a central government AI related project, requiring a blend of cloud, security, and AI/ML knowledge
You will be responsible for
Carrying out security reviews, prepare and submit security review packs and remediate all identified issues - this will cover infrastructure, code, data handling, IAM and compliance
Security Posture Management and Configuration
- Identity and Access Management (IAM) - Azure ML, Azure RBAC and Microsoft Entra ID Conditional Access
- Network Security - VNet, Private Endpoints for Azure ML resources
- Data Protection
- Vulnerability Management
- Compliance and Governance
Threat Detection and Monitoring
- SIEM/SOAR Implementation
- Detection Engineering
- Model Monitoring for Security
- Security Auditing
Your background
* Ideally local/central government/public sector experience
- Blend of cloud, security, and AI/ML knowledge
- Cloud Platform Proficiency (Azure)
- Security Operations (SecOps) Tools - Microsoft Sentinel, Defender, Entra ID
- Comprehension of unique AI/ML threats
- Automation and Scripting
- DevSecOps Principles