8 of 8 Permanent Anomaly Detection Jobs in London

/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g., AWS AgentCore). Define and govern DevOps, platform engineering and observability ...

pipelines) Help to build foundational components that allow delivery teams to benefit from AI‐assisted operations, such as intelligent event triage, automated runbooks, and anomaly detection. Assist with the adoption of modern DevOps practices: GitOps, IaC (Terraform), CI/CD pipelines (Azure DevOps/GitHub Actions), and container/ ...

chain, routing, and capacity planning. Leveraging AI methods to inform optimisation heuristics, demand forecasts, and dynamic decision‐support Machine Learning, Data Science & Applied AI Anomaly detection using statistical, ML, and hybrid methods for fault and quality monitoring. RUL estimation and predictive maintenance via survival, failure time ...

frameworks, and adaptive access controls. Collaborate with the Senior Architect Information Security and lead the implementation of identity governance automation, leveraging machine learning for anomaly detection and remediation. Ensure seamless integration of multi-factor authentication (MFA) with biometric and mobile device capabilities to improve both security … user experience. Champion the adoption of identity threat detection and response (ITDR) solutions to proactively identify and mitigate identity-based attacks. Develop and maintain the firm's IAM architecture, including identity lifecycle, access governance, and privileged access controls. Design secure authentication and authorization patterns (OpenID Connect, SAML, OAuth ...

identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats. Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance. Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions. … programming languages such as Python, R, or similar. Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL). Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutions Demonstrated ability to work collaboratively in cross-functional teams and effectively ...

data modelling frameworks CRM data (e.g., Salesforce) Natural‐language analytics tools (e.g., TextQL) Notebook‐based analytics (e.g., Hex) - desirable AI‐assisted automation/anomaly detection - desirable What You Bring 6-10+ years in BI, data analytics, or financial analytics. Strong SQL and cloud data platform experience. ...

experience using AI tools to perform data comparison, correlation and trend analysis at pace — including period-on-period reporting, forecast-vs-actual analysis and anomaly detection across sales and financial datasets. Experience building or directing AI workflows that deliver analytical work end to end — from data ingestion ...

legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud … platform. Here’s how you’ll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate ...