13 of 13 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 ...

Identify and deliver opportunities where automation and AI improve operational efficiency and service reliability, including: Hardware and platform performance monitoring (predictive alerts, capacity forecasting, anomaly detection) Operating system and platform health (patch compliance, drift detection, configuration baselines) Event correlation and incident reduction via AIOps practices ...

metrics Documenting assumptions and ensuring outputs are reproducible Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA) Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented ...

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 ...

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 ...

advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product ...

data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python ...

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 ...

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 ...

agents for extraction and processing Work hands-on with LLMs in production (RAG pipelines, agentic workflows, evaluation and fallback logic) Drive data quality: validation, anomaly detection, reconciliation, and reliability Continuously improve systems - automating workflows and increasing output over time Operate with full ownership: identifying problems, building solutions ...

error conditions, cost metrics, user behaviour signals, and system reliability.user experience optimisation**Key Responsibilities & Accountabilities** Own requirements for dashboards, monitoring tools, model comparison views, anomaly detection alerts, and performance scorecards.Partner with AI Evaluation PM (previous role), Model Risk, GSSR, Legal and Compliance to align telemetry with governance ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring , with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

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. ...