51 to 75 of 145 Anomaly Detection Jobs in England

across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate complex technical concepts and data insights into clear recommendations for senior stakeholders. Contribute to the development ...

events publish to Pub/Sub for asynchronous workflows such as: automated identity lifecycle tasks access review event triggers logging and audit forwarding security anomaly detection Build Cloud Functions, Cloud Run microservices, or containerized services to process Pub/Sub messages. Implement robust event-processing patterns including ...

/Sub for asynchronous workflows such as: o automated identity lifecycle tasks o access review event triggers o logging and audit forwarding o security anomaly detection Build Cloud Functions, Cloud Run microservices, or containerized services to process Pub/Sub messages. Implement robust event-processing patterns including ...

scale data platforms. Experience in Broadband, Video, Set-Top Box, embedded devices, networking, RDK, Wi-Fi, or DOCSIS environments. Experience building telemetry-driven diagnostics, anomaly detection, root-cause analysis, observability, or intelligent troubleshooting solutions. Experience optimizing AI/LLM applications for accuracy, reliability, latency, scalability, and cost. ...

adherence to risk and control guidelines for data access and use. Data quality, reliability, and lineage - Define data contracts for telemetry sources; implement validation, anomaly detection, and reconciliation; document definitions (e.g., formulas, thresholds) and end-to-end data lineage from raw signals to KPIs and insights. Automation ...

churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal ...

consumers Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly detection, and limit utilisation forecasting Evaluate and integrate AI‐assisted data tooling (AI‐powered cataloguing, natural language querying, automated data quality) where ...

churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal ...

Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data quality, automated testing, anomaly detection, and CI/CD. Partner with Product, Engineering, and Commercial teams to translate data needs into platform capabilities. EHR Integration ...

applied within service management to improve operational efficiency, employee experience and service outcomes.Awareness of modern AIOps and observability capabilities, including monitoring, event correlation, anomaly detection, intelligent alerting, operational analytics and automation.Familiarity with enterprise service management platforms such as ServiceNow, Jira Service Management, Freshworks or similar technologies.Experience contributing ...

tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute recovery actions (e.g. ...

team. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to address operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production ...

interested in how AI can improve analytical work. Hands-on experience using Gen AI for areas such as automated insight generation, AI-assisted analysis, anomaly detection or intelligent automation would be a strong advantage. Machine learning experience is also beneficial. Experience within Customer Success, Operations, Digital Experience ...

such as planning, documentation, and evidence review. Predictive Analytics & Machine Learning Experiment with ML algorithms (e.g., K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk assessment, and forecasting. Collaborate with technical teams to integrate predictive models into audit processes. Audit Integration & Enablement Work alongside audit ...

regulated, financial, energy or other business‐critical technology environment. Experience applying AI‐assisted tools safely for code review, vulnerability triage, log analysis, anomaly detection, documentation, or security automation. Academic degree in cyber security, computer science, or a comparable field. Proficiency in spoken and written German. ...

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 ...

finance. AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that make planning better — predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows among them — and the human-in-the-loop controls that keep finance ...

Google Cloud security best practices and IAM implementation Experience with Google Cloud data services including BigQuery and Dataflow Experience with cloud cost management (budgeting, anomaly detection, cost analysis and reporting) Experience working on a geographically distributed team across time zones Nice to have: Google Cloud Professional certifications ...

where today there is manual effort at every step. Smart and Proactive Controls Moving from reactive error correction to proactive intelligence — embedding AI‐powered anomaly detection, predictive oversight, and intelligent exception management across the full Fund Services operating model. Issues are identified and resolved before they reach ...

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 ...

loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty … wizardry; GPU/accelerator experience. Multimodal pipelines (text + voice + screenshots). Prior experience in contact center/CX analytics or novelty/anomaly systems. Founder or founding engineer experience #J-18808-Ljbffr ...

governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into actionable insights. Prototype and assess new architecture methods, tools ...

operational efficiency. Design and implement observability platforms to effectively monitor system health, performance, and reliability. Develop strategies for AI-driven alerting and proactive anomaly detection to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR). Establish and enforce SRE best practices, including Service ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...