7 of 7 Permanent Anomaly Detection Jobs in London

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 y ou 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 ...

research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions … collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement ...

Architect/Lead AI Engineer in enterprise environments Strong background in agentic AI, LLMs, and RAG architectures Experience designing intelligent automation systems (matching, classification, anomaly detection) Hands-on knowledge of ML/NLP techniques and similarity algorithms Experience with human-in-the-loop systems and decisioning workflows ...

pipelines, refactoring legacy code into modular components. Keep Power BI dashboards accurate and up to date, supporting evolving business needs. Help implement validation and anomaly detection within their pipelines to ensure data integrity. Manage Git workflows and assist in setting up lightweight deployment pipelines. Maintain clear ...

clients to scope, design, and deliver operationally-ready AI and ML solutions Key Responsibilities: Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly Transition validated experiments into production-ready ...

Puppeteer, or equivalents Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems Comfort working with asynchronous and concurrent scraping architectures Experience operating scrapers at scale in cloud environments Strong debugging skills and the ability … with containerisation and orchestration tools such as Docker and Kubernetes Experience with distributed task systems and job queues Background in data quality monitoring and anomaly detection Experience working with search, advertising, or competitive intelligence datasets To apply for this role please submit your CV or contact Dillon ...

Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response (ITDR) solutions. ...