101 to 125 of 148 Anomaly Detection Jobs in England

Infrastructure & Systems: Architect secure AI infrastructure (cloud, on-prem, hybrid) Design model registry, versioning, and deployment systems with security controls Implement monitoring, logging, and anomaly detection for AI systems Oversee secure data pipelines and feature stores Design isolation and sandboxing for high-risk AI workloads Risk & Threat ...

secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations, and iterating ...

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 ...

packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality ...

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 ...

architecture, multi-region resiliency, backup/restore, failover, and recovery testing.Experience with observability tools and practices, including centralized logging, metrics, distributed tracing, synthetic monitoring, anomaly detection, and alert rationalization.Experience leading technical design reviews, architecture governance, resiliency reviews, operational readiness assessments, and production certification activities.Ability to influence senior ...

enough in the Klario narrative to create demand from cold. Articulate the AI value proposition Translate Klario's AI capabilities, predictive change intelligence, automation, anomaly detection, into clear business value for both technical and executive buyers. The strongest deals in this market are won by sellers ...

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. ...

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 ...

Site Reliability Engineering (SRE) maturity, embedding monitoring, observability, automated testing and structured incident response Drive adoption of automation and AI‐enabled tooling to improve anomaly detection, incident management, vulnerability management and operational efficiency Provide technical oversight of production operations, ensuring alignment between platform standards and operational support ...

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 ...