17 of 17 Anomaly Detection Jobs in the North of England

building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such … background in machine learning research; PhD preferred (or equivalent experience in game development). Expertise in Python, PyTorch, and TensorFlow. Experience with video-based anomaly detection, computer vision, and streaming analysis. Gaming industry experience is a plus. Ability to lead projects and guide technical direction ...

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 ...

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 ...

Teams integrations, and telemetry based improvements. Drive AI enabled operations using Bedrock/SageMaker and the Model Context Protocol (MCP) for log analysis, anomaly detection, and incident workflows. Define cloud guardrails and enforce security controls, including IAM boundaries, SCPs, OPA policies, tagging, centralized logging, and audit tooling. ...

direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. You'll work cross-functionally with Product, Analytics, and Customer Success, operating as a technical and strategic leader shaping the next phase … integrations. Data Infrastructure & Analytics Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis. Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models. Ensure data accuracy, quality, and resiliency across pipelines and computation layers. Emerging AI & Automation ...

direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. You'll work cross-functionally with Product, Analytics, and Customer Success, operating as a technical and strategic leader shaping the next phase … integrations. Data Infrastructure & Analytics Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis. Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models. Ensure data accuracy, quality, and resiliency across pipelines and computation layers. Emerging AI & Automation ...

direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. You'll work cross-functionally with Product, Analytics, and Customer Success, operating as a technical and strategic leader shaping the next phase … integrations. Data Infrastructure & Analytics Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis. Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models. Ensure data accuracy, quality, and resiliency across pipelines and computation layers. Emerging AI & Automation ...

. Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution. Visualization and communication Graph ...

dashboards and visualisations, communicating insights in accessible, non-technical language Modelling & Deployment Develop and deploy predictive and prescriptive models (e.g. predictive maintenance, defect forecasting, anomaly detection, capacity planning) Operationalise models using cloud and MLOps best practices, including monitoring, documentation, retraining, and explainability Collaboration & Change Work closely with ...