23 of 23 Permanent Anomaly Detection Jobs in England

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

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 ...

engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor … Experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability. Strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement. Experience & Mindset 20+ years working with analytics, data science ...

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 ...

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 ...

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 ...

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 ...

cost. Leverage AIOps and observability tools (e.g. Dynatrace, Datadog, New Relic, Elastic) to proactively monitor service health and performance. Utilise predictive alerting and anomaly detection to prevent incidents and optimise delivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication ...

infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You'll own features from the data layer to the customer-facing interface. ...

clear judgment on when AI is appropriate versus deterministic or rules-based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments. Designs with security ...

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 ...

research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions … collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement ...

diverse global markets, ensuring metrics account for regional regulatory and language differences. Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation. Root Cause Discovery: Conduct deep-dives into the end-to-end customer journey to uncover friction points ...

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 ...

Augmented Infrastructure & Operations Lead the integration of AI and ML across networking and operational domains including: AIOps Predictive analytics Autonomous remediation AI-driven anomaly detection Threat intelligence Capacity forecasting Configuration intelligence Architect infrastructure capable of supporting large-scale AI training and inference workloads. Advance observability strategies using ...

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 ...

capacity planning for peak events. Optimise performance and cost across hybrid environments through right-sizing, forecasting, and resource governance. Apply AI-driven tooling for anomaly detection, operational optimisation, and compliance automation. Collaborate cross-functionally, maintain documentation, and promote DevOps best practices. Required Experience & Skills: 5+ years ...

their outputs usable for downstream systems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

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 ...

IDMZ) and robust network segmentation aligned to the Purdue Model Administer and maintain OT-specific security solutions such as asset inventory, network monitoring, and anomaly detection tools (e.g., Claroty) Work directly with Engineering and Maintenance teams to ensure OT systems (SCADA, DCS, PLCs) comply with security standards ...

Monitor and evaluate emerging IAM trends (eg, passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response (ITDR) solutions. ...