76 to 100 of 111 Anomaly Detection Jobs in London

emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing … security, resiliency, and auditability expectations.Preferred Qualifications, Capabilities, and Skills:Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale.Experience partnering with Red/Purple Teams to simulate attacks and actively validate ...

emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing … resiliency, and auditability expectations. Preferred Qualifications, Capabilities, and Skills: Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale. Experience partnering with Red/Purple Teams to simulate attacks and actively ...

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 ...

role We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product … experience against loss reduction. Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions. System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale. Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers ...

team on a 6-month fixed-term contract. This role will play a key part in enhancing and maturing our security monitoring and detection capabilities. The Role As a Security Engineer, you will focus on strengthening and optimising our Security Information and Event Management (SIEM) platform. You will … Design and implement detection use cases aligned to frameworks such as MITRE ATT&CK Build and tune correlation rules, alerts, dashboards, and anomaly detections Continuously improve detection quality and reduce false positives SOC & Incident Response Support Partner with SOC analysts to refine detection ...

programs. Develop solution blueprints, process maps, fit-gap analysis, and cross‐functional integration designs. Embed AI capabilities such as demand forecasting, stocking optimization, anomaly detection, and intelligent replenishment into solution designs. Contribute to Manufacturing solution design if experience in Production Control, Shop Floor, Lean/Process manufacturing … supply chain capabilities such as predictive demand planning, intelligent safety stock/replenishment, machine‐learning insights on warehouse or logistics performance, and exception or anomaly detection. Familiarity with Copilot, Azure AI, or responsible AI frameworks. Comfort using AI accelerators for requirements definition, documentation automation, and test case generation. Consulting ...

interest or background in data science, machine learning, statistical analysis, or natural language processing is a plus — especially as applied to behavioral analytics and anomaly detection — but this is primarily a software engineering role, and we’re looking for engineers who are comfortable applying these techniques ...

fast-growing Kubernetes fleet. Define network infrastructure as code with Terraform. Support and harden Azure Entra ID integration and authentication. Use AI for anomaly detection, alerting, and automated runbooks. Partner with the Kubernetes and product engineering teams. Lead deep dives on complex networking issues. What ...

reserve diagnostics.Explore Modern Analytics and AIWork with actuarial, data science, and AI colleagues to explore where modern analytics can support reserving analysis, scenario exploration, anomaly detection, and clearer explanation of key drivers.Promote practical and responsible use of AI and analytics, with a focus on improving speed, transparency ...

feature releases; run impact assessments, regression testing, and stakeholder communications.Innovation and AI: Champion Workday’s innovation roadmap; evaluate AI/ML features for reconciliation, anomaly detection, and forecasting in line with Kyriba Finance objectives.Analytics: Enable reporting and dashboards using Workday Report Writer/Composite, Prism Analytics ...

technical specificationsInfrastructure & Systems:Architect secure AI infrastructure (cloud, on-prem, hybrid)Design model registry, versioning, and deployment systems with security controlsImplement monitoring, logging, and anomaly detection for AI systemsOversee secure data pipelines and feature storesDesign isolation and sandboxing for high-risk AI workloadsRisk & Threat Mitigation:Conduct threat ...

runtime controls.Model-Driven Incident Response: Act as the primary technical expert for AI security incidents, deploying advanced machine learning techniques to automate threat hunting, anomaly detection, and signatureless mitigation specific to LLMs.Compliance & Governance Automation: Bridge the gap between complex AI architectures and emerging global regulations (e.g. ...

identity 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 and 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, Kerberos, LDAP ...

across a regulated financial-services estate. This strategy-led, hands-on role defines the AI/ML roadmap and builds production-grade models for anomaly detection, forecasting, and risk monitoring. You will partner with engineering, data platform, and product teams to take models from problem definition through ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

over 4 million members. Working within a small, high-impact Data Science team, you'll develop models across retention, CLV, recommendations, search, forecasting and anomaly detection, partnering closely with Product, Marketing, CRM and Finance. The Role Build retention, churn and CLV models Develop recommendation and search algorithms ...

operations teams.Implement FinOps capabilities: Cost allocation & chargeback/showbackBudgets, forecasting, unit economicsTagging & metadata standardsDiscount strategy (Committed Use Discounts, RIs, Savings Plans)Cloud cost anomaly detection and reportingDevelop cost‐efficient architectures including right‐sizing, autoscaling, egress optimization, and storage lifecycle policies.Establish and lead the Cloud Cost Review Board ...

that guide development effortsEvaluate emerging technologies and recommend strategic improvements to enhance data acquisition capabilities and overall platform performanceDevelop innovative approaches to data profiling, anomaly detection, and quality metrics reporting that provide stakeholders with comprehensive visibility into data health and lineageEstablish and maintain documentation standards, best practices ...

pipeline, automated testing, and deployment.We are serious about the quality of our production operation, and have thorough system, application, and user interaction monitoring and anomaly detection.We are passionate about data-driven decision-making.Our teams are integrated, with developers, product managers, designers, and data scientists working side-by-side.And, dogs ...

industrial networks for the energy and critical infrastructure sector. Responsible for analysing industrial network traffic, tuning monitoring solutions, and supporting incident handling and detection improvement activities. The role requires strong knowledge of SCADA/DCS environments, industrial protocols, OT security monitoring technologies, and IIoT architectures, working closely with … industrial facilities.Retune probes to correct misinterpretation of legitimate industrial traffic and reduce false positives.Refine and customize detection rules to improve the anomaly detection capabilities of monitoring solutions.Support incident handling phases during cyberattacks for systems under the maintenance agreement.Provide expertise in industrial network architectures, SCADA/ ...

technology vendors.Drive platform adoption across Kingfisher banners.Setup and operate platform governance that safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities.Line manage multiple Product Owners.Develop product practices within the product teams.Activities I do to deliver my role:Translate enterprise strategy into a clear, phased … teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements.Establish platform guardrails and adoption criteria.Ensure platform capabilities support continuous monitoring, anomaly detection, chargebackreduction, and loss prevention.Provide structured updates to senior stakeholders and governance forums.Monitor platform performance, risks, costs and scalability considerations.Coach and develop ...

store customer behaviour LLM-powered tools that support customers and store teams What you’ll do Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more. Design and ship LLM-powered features — assistants, document and image processing. Take models all the way to production: serving ...

with ML model serving and feature engineering.Strong ownership and independent execution.Working knowledge of DevOps and secure engineering.Preferred ExperienceLLMs, embeddings, or vector databases.Behavioural, graph, or anomaly detection models.dbt, Snowpark, or Snowflake ML.Working for you:We offer a range of benefits to support your wellbeing and life outside work ...

depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmesProficiency in signal processing and anomaly detection techniques to interpret physiological and behavioural dataResearch skills, as evidenced by a track record in high-quality academic journal publications and/ ...