20 of 20 Permanent Anomaly Detection Jobs in London

technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering … machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity ...

privileged access is securely managed, auditable and aligned to GSK policies. This role also drives innovation by adopting AI/ML capabilities to enhance anomaly detection, risk scoring and automated workflows across PAM and IAM. Key responsibilities Design and build enterprise-scale PAM and IAM solutions that … materials for PAM users and administrators. Adopt and drive AI efficiency in the PAM and broader IAM area: integrate AI/ML models for anomaly detection, access pattern analysis, risk scoring and AI-driven workflows for provisioning and policy enforcement. Work with IAM architects, cybersecurity teams ...

alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support the use of analytics-led monitoring for anomaly detection and predictive fault identification. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational guides. Support knowledge …/IP, BGP, OSPF, VLANs and optical networks. Familiarity with Grafana, Prometheus or similar observability tools. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Knowledge of SNMP, NetFlow/IPFIX or syslog pipelines would be useful. Scripting or automation ...

thresholds and SLA-led alerting. Work closely with network and operational teams to align monitoring with changing infrastructure requirements. Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant. Improve monitoring architecture, tooling, documentation and handover processes. Produce clear runbooks, escalation paths and operational … VLANs and optical or fibre environments. Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting. Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial. Scripting or automation experience, such as Python or Bash, would be advantageous. Comfortable working ...

predict inefficient processes and implement automatic test case generation Perform database and process performance testing using a combination of benchmarking frameworks and AI-based anomaly and drift detection Advocate for and implement engineering guidelines for excellence, including automation, code reviews, and continuous integration/continuous delivery … required for analysis and automation of test scenarios Experience using AI/ML and Data Science technologies (e.g. scikit-learn, TensorFlow, PyCaret, etc) for anomaly detection Familiarity with performance, security and other non-functional testing approaches (e.g. JMeter, Apache Benchmark, k6, SQL Profiler etc) Prior experience ...

toil reduction. • Architect and deploy observability platforms to monitor system health, performance, and reliability effectively. • Propose & drive strategies for AI-driven alerting and proactive anomaly detection to reduce MTTD & MTTR. • Develop and enforce SRE best practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error ...

preventative controls. Drive adoption of automation-first principles, reducing dependency on human-driven processes. Contribute to AI-driven operational use cases, including event correlation, anomaly detection, noise reduction, operational insights, and automated remediation. Ensure AIOps capabilities are grounded in reliable telemetry, clear control boundaries, and measurable operational … Operational Excellence Define standards for telemetry, monitoring, alerting, and operational visibility across all critical systems. Ensure services are observable, measurable, and support proactive detection of issues. Improve operational readiness, incident response effectiveness, and time-to-recovery through engineering solutions. CI/CD & Platform Integration Contribute to the design ...

enterprise AI integration patterns Building MCP servers and AI integration interfaces Designing evaluation and quality processes for AI outputs Working on predictive models and anomaly/risk detection Collaborating closely with engineering and architecture teams to productionise AI capabilities What they're looking for: Strong hands … Experience with APIs, MLOps, integration layers, and AI service interfaces Experience with evaluation frameworks and measuring AI output quality Understanding of predictive analytics or anomaly detection on structured operational data Nice to have: Graph-based analysis or dependency mapping experience Experience building AI capabilities for governance/ ...

Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime ...

engineering and BI teams to develop reliable automated pipelines, reducing manual data handling and increasing analytical throughput. Champion the use of AI-assisted forecasting, anomaly detection, and scenario modelling to elevate the quality of insight delivered to senior stakeholders. Be comfortable working at the detail level when ...

vessel tracking datasets is a plus Passion for shipping and technology Programming experience in Python and SQL Basic statistics knowledge including regression analysis, outlier detection, and time series Exposure to machine learning or predictive modelling Good working knowledge of analytical and presentation tools (e.g. Excel, PowerPoint, Google Sheets ...

Engines, Revenue Management tools). Data Quality & Integrity: Ensure consistent, accurate, and timely data flow across systems. Develop processes for data validation, reconciliation, and anomaly detection. Cross-Functional Collaboration: Work closely with operations, marketing, finance, and executive teams to understand data needs and translate them into analytical solutions that ...

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. ...

streamline tracking deployments and debugging Process evolution: Proactively identify opportunities to use AI to improve system processes, from automated data cleaning to predictive anomaly detection Data Analysis & Reporting Develop and maintain Looker Studio dashboards and other reporting tools Analyse data, uncover trends, and generate strategic recommendations Prepare ...

data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python ...

whitepapers, contributing to product strategy Familiarity with security audits, RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring, with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring , with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

agenda across month-end close, reconciliations, reporting, forecasting and intercompany, using tools such as Make or Zapier. Embed AI into finance operations: document extraction, anomaly detection, AI-assisted analysis and automated reporting. Be the internal evangelist for a smarter way of working. Build and maintain integrations between ...

lead a global team that coordinate exceptional Services response to major technology events (planned or unplanned), team responsibilities encompasses oversight of 24x7 service anomaly detection for over 90 critical end to end flows ensuring adherence to regulatory mandated Critical Business Services (CBS) and a heightened focus ...

lead a global team that coordinates exceptional Services response to major technology events (planned or unplanned). Team responsibilities encompass oversight of 24x7 service anomaly detection for over 90 critical end-to-end flows ensuring adherence to regulatory mandated Critical Business Services (CBS) with a heightened focus ...