26 to 50 of 85 Anomaly Detection Jobs in England

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring ...

develop sophisticated detection systems, establish community safety metrics, and leverage advanced analytics to protect our player communities through data visualization, anomaly detection, supervised learning, and community health measurement. This is a full-time, permanent and in-office position based in Rockstar's unique game development … Security teams to conduct high-impact projects that shape player safety policies, inform strategy, and ensure regulatory compliance (GDPR, DSA, OSA). Develop detection systems, advanced analytics models (graph analytics, NLP), and scalable machine learning applications protecting millions of players. RESPONSIBILITIES Drive complex investigations and data-driven strategies ...

communicate findings in clear, non-technical terms. Modelling, experimentation, and impact Build and deploy predictive and prescriptive models (predictive maintenance, yield/defect forecasting, anomaly detection, capacity planning, SPC-aware models). Deployment, governance, and scale Operationalise models in the cloud with robust MLOps practices, including versioning … monitoring, drift detection, retraining, and documentation. Create model cards and explainability artifacts to support trust and adoption by operators and leadership. Develop scalable data pipelines and reusable analytics components; enable near real-time scoring and alerting for process deviations. Collaboration, enablement, and change management Partner with process engineers ...

data providers Big Tech or adjacent industries where work maps structurally to quant data problems (e.g. large-scale recommender systems, NLP on unstructured data, anomaly detection, knowledge graphs) Smaller teams with broad ownership and responsibility Compensation & Benefits Fully guaranteed, competitive compensation Education allowance for dependent children ...

Deep understanding of service assurance, fulfillment, and network operations; hands-on with digital twin frameworks (topology/graph modeling, intent-based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure ...

chance to deliver real-world outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards ...

analysis. Work with the Quality team to automate FAI checks, SPC monitoring, supplier performance analysis, and NCR triage. Assist Production with digital work instructions, anomaly detection, and AI-supported training materials. Enterprise-level AI integration: Contribute to long-term AI architecture decisions choosing tools, shaping governance ...

deploy production-grade ML and GenAI solutions in high-impact operational environments. What youll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including ...

scalability, and reliability. Leverage tools like Alteryx for data transformation and workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting, anomaly detection, and performance forecasting. Support the integration of predictive analytics and natural language query tools for improved data access and insight. Enablement ...

scalability, and reliability. Leverage tools like Alteryx for data transformation and workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting, anomaly detection, and performance forecasting. Support the integration of predictive analytics and natural language query tools for improved data access and insight. Enablement ...

regulated sector objectives. This is a London-based role with hybrid working support. Key Responsibilities: Design, develop, and iterate ML models for forecasting, classification, anomaly detection, and GenAI/LLM applications. Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly. Transition validated experiments into ...