101 to 125 of 145 Anomaly Detection Jobs in England

time series, geo-referenced time series, maps and geo-referenced survey data. Producing standard mobility reports and indicators, and interpreting what they show. Anomaly detection and data cleaning, including spotting artefacts caused by network changes rather than real movement. Combining sources: mobile operator data, survey data, spatial ...

near-real-time data flows. Shape the architecture for AI-enabled Financial Crime capabilities, including alert optimisation, investigation summarisation, adverse media triage and anomaly detection. Ensure AI and data capabilities are explainable, auditable and appropriate for a highly regulated environment. Establish architecture standards across security, resilience, data lineage, model ...

near-real-time data flows. Shape the architecture for AI-enabled Financial Crime capabilities, including alert optimisation, investigation summarisation, adverse media triage and anomaly detection. Ensure AI and data capabilities are explainable, auditable and appropriate for a highly regulated environment. Establish architecture standards across security, resilience, data lineage, model ...

pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models ...

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 ...

outcomes. Incident Management & Response Lead response activities relating to scraping, automated abuse, enumeration and traffic-related incidents. Maintain operational playbooks and runbooks for detection, escalation, mitigation and recovery. Implement controls using staged rollout approaches, balancing risk reduction with customer impact. Monitor effectiveness of controls and continually improve protection … Review recent incidents and identify immediate improvement opportunities. Begin establishing operational playbooks and governance processes. By 3-6 Months Establish repeatable workflows for traffic anomaly detection and response. Create clear ownership and decision-making processes for content protection activities. Reduce engineering involvement in reactive mitigation activities. Deliver ...

work on include intelligent data extraction from unstructured and semi-structured documents, content classification and routing, cross-language translation, fraud and document-tampering detection, and workflow optimisation across business processes. You'll be trusted to turn ambiguous, often first-of-a-kind problems into dependable services that … performance. Experience building production solutions in areas such as Intelligent Document Processing, document/data extraction, NLP‐based classification, machine translation, fraud/anomaly detection or workflow automation. Experience evaluating Generative AI applications, including experiment design, model evaluation and performance measurement; exposure to MLflow is advantageous. Strong ...

Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling Drive … OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Annual Salary: £325,000—£390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination ...

languages: Go, Rust, C/C++, Java, Python. Desirables: AWS Solutions Architect Associate certification, Telecoms, AIOps, Network Ops, RAN/Core Analytics, Data Engineering, anomaly detection, RCA, lakehouse/agent orchestration patterns. ...

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 ...

manage multiple analyses and investigations in parallel Willing and able to travel worldwide when needed Experience building automated semiconductor yield-monitoring, reporting or anomaly-detection workflows Experience working with large semiconductor datasets using SQL, Python or similar data-analysis tools Experience developing dashboards, standard analytical journals ...

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 ...

servers, and LLMs) to accelerate development, improve testing quality, and streamline operational automation. Identify and implement opportunities for intelligent automation within systems (e.g., anomaly detection, documentation generation, automated runbooks). Business Collaboration Work directly with portfolio managers, traders, and operations teams to deliver high impact solutions. Understand ...

projects. Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus. Comfortable collaborating with operators, engineers, and data scientists — bridging industrial know‐how with data‐driven insights. Analytical ...

cybersecurity threat detection that scales across billions of events and integrates with analysts’ workflows. You will build analyst dashboards, ML models for anomaly detection and threat classification, and data pipelines for real-time ML insights. Expect collaboration with security researchers and fast iteration ...

Plans (SP), Spot Instances, and architectural refactoring for cost efficiency. Budget Governance Establish automated cost allocation tagging, departmental chargeback models, and real-time budget anomaly alerts to ensure rigorous cloud financial governance. Primary Vendor Liaison Act as the single point of contact and project lead between our internal technical … Knowledge Strong understanding of AWS cloud services and cost structures. Proven track record of successfully using AWS cost management tools (Cost Explorer, Cost Anomaly Detection, AWS Budgets) to significantly reduce cloud expenditure. Project & Vendor Management Demonstrated experience in managing third-party IT contractors, MSPs (Managed Service Providers ...

executing rigorous acceptance criteria for new and evolving data products. From sample evaluation through to production, including coverage analysis, staleness and gap detection, and reconciliation against trusted references whereavailable. Acting as a subject-matter expert on our data products, helping Strategy Managers with vendor formats, data anomalies, corporate … Familiarity with market, fundamental, or alternative datasets used in systematic or quantitative investment workflows. Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection) applied to production or near-production feeds. Experience working with ETL/ELT pipelines using Python. Practical experience using LLMs ...

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 ...

program delivery. Strong understanding of OT system design, industrial networks, PLCs, HMIs, and safety systemsand a familiarity withcurrentsecurity tooling for OT environments (asset discovery, anomaly detection, threat analytics). Consulting & Communication Exceptional written and verbal communication, with experience presenting to senior executives, regulators, and technical teams. Ability ...

Identify, scope, and drive the delivery of AI-powered capabilities that create differentiated value for clients - such as intelligent payment orchestration, predictive receivables management, anomaly detection, and personalised client insights Engage directly and regularly with enterprise clients to validate solutions, gather requirements, manage expectations, and co-create ...

TTPs. Produce technical threat reports and briefings to inform security posture and decision-making. Conduct proactive threat hunting based on intelligence-led hypotheses and anomaly detection. Support risk assessments with insights from offensive operations and threat landscape analysis. Personal Specification The below criteria will be scored during Shortlisting ...

detection, incident response, and vulnerability management end‐to‐end Monitor, triage, and respond to security events across the environment, including log analysis, anomaly detection, and threat hunting, with a strong awareness of modern and AI‐enabled attack vectors Own and drive security hardening across ...

drop-off alerts. Design and implement real-time revenue monitoring dashboards tracking deposit/withdrawal volumes, payment gateway health, and transaction success rates with anomaly detection against expected baselines. Build revenue impact calculation models for use during major incidents, enabling the team to quantify business impact … including threshold tuning, correlation rules, suppression logic, and noise reduction techniques. Experience building business‐level monitoring including revenue dashboards, customer journey tracking, and transaction anomaly detection. Ability to translate technical metrics into business impact language for executive stakeholders. Strong analytical skills with experience in defining KPIs, setting baselines ...

reviewer workflows, and assessment outputs institutions can act on and defend. Own integrity and proctoring: identity verification, fraud and impersonation signals, AI-assisted detection, and the balance between assurance and a humane applicant experience. Lead the mobile-first applicant experience — video capture … bandwidth resilience, accessibility, and drop-off reduction across devices and geographies. Make the case for AI where it genuinely helps — transcription, summarisation, scoring support, anomaly detection — while keeping humans accountable for decisions. Ensure interviews and assessment work coherently across two products, with a consistent experience for applicants ...

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. Translate enterprise strategy into a clear, phased platform roadmaps. Partner closely … 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, chargeback reduction, and loss prevention. Provide structured updates to senior stakeholders and governance forums. Monitor platform performance, risks, costs and scalability ...