5 of 5 Permanent Anomaly Detection Jobs in Berkshire

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation strategies ...

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 ...

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 ...

frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards). Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection). Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams. Experience with visualising large-scale graph ...

telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing Research novel approaches when existing methods fall short, read papers, run experiments, iterate ...