Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomalydetection methods. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is More ❯
Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomalydetection methods. Regards Chaya More ❯
team that’s pushing the boundaries of what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomalydetection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of More ❯
reduce waste, and increase uptime. Analyze machine performance (OEE) supporting the OEE governance (Vorne/MES integration), defect rates, and throughput trends building models for predictive quality issues and anomalydetection enable real-time visibility from the shop floor to top floor. Map and analyze the processes to identify value/non-value-added steps, and pinpoint More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Creo Recruitment
science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to detection, classification and real-time ML systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS … and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus: exposure to large-scale digital data environments, classification problems, or anomalydetection Why This Role? Work at the intersection of real-time data, machine learning, and product innovation Join a lean and collaborative team where data science is More ❯
pipelines for ingesting and cleaning financial datasets Integrate with distributed internal systems to serve structured data to end-users Develop new algorithmic techniques for quality control, error correction, and anomalydetection Engage with internal stakeholders to shape schema, resolve issues, and anticipate data needs Optimise systems for performance, reliability, and long-term maintainability Required Experience Confident programmer More ❯