18 of 18 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 ...

technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering … machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity ...

technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support. The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering … machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity ...

toil reduction. • Architect and deploy observability platforms to monitor system health, performance, and reliability effectively. • Propose & drive strategies for AI-driven alerting and proactive anomaly detection to reduce MTTD & MTTR. • Develop and enforce SRE best practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error ...

developing scalable data models, semantic layers, and analytical datasets. Strong understanding of data quality management, validation frameworks, and governance principles. Knowledge of data profiling, anomaly detection, and analytical methodologies. Leadership & Communication Proven ability to lead technical initiatives across multiple teams. Strong stakeholder management and influencing skills. Ability ...

reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross‐functional ...

analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed ...

preventative controls. Drive adoption of automation-first principles, reducing dependency on human-driven processes. Contribute to AI-driven operational use cases, including event correlation, anomaly detection, noise reduction, operational insights, and automated remediation. Ensure AIOps capabilities are grounded in reliable telemetry, clear control boundaries, and measurable operational … Operational Excellence Define standards for telemetry, monitoring, alerting, and operational visibility across all critical systems. Ensure services are observable, measurable, and support proactive detection of issues. Improve operational readiness, incident response effectiveness, and time-to-recovery through engineering solutions. CI/CD & Platform Integration Contribute to the design ...

Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime ...

pipelines Working knowledge of SQL for data extraction, transformation, and analysis Experience modernizing reporting platforms and enabling self-service reporting and insights Experience with anomaly detection, automated data quality monitoring, or automated narrative generation Experience setting up operating models, documentation standards, and measurement frameworks for analytics products ...

engineering and BI teams to develop reliable automated pipelines, reducing manual data handling and increasing analytical throughput. Champion the use of AI-assisted forecasting, anomaly detection, and scenario modelling to elevate the quality of insight delivered to senior stakeholders. Be comfortable working at the detail level when ...

pipelines) Help to build foundational components that allow delivery teams to benefit from AI‐assisted operations, such as intelligent event triage, automated runbooks, and anomaly detection. Assist with the adoption of modern DevOps practices: GitOps, IaC (Terraform), CI/CD pipelines (Azure DevOps/GitHub Actions), and container/ ...

data modelling frameworks CRM data (e.g., Salesforce) Natural‐language analytics tools (e.g., TextQL) Notebook‐based analytics (e.g., Hex) - desirable AI‐assisted automation/anomaly detection - desirable What You Bring 6-10+ years in BI, data analytics, or financial analytics. Strong SQL and cloud data platform experience. ...

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 ...

streamline tracking deployments and debugging Process evolution: Proactively identify opportunities to use AI to improve system processes, from automated data cleaning to predictive anomaly detection Data Analysis & Reporting Develop and maintain Looker Studio dashboards and other reporting tools Analyse data, uncover trends, and generate strategic recommendations Prepare ...

observable. This role focuses on building culture and platforms of observability and resilience to prevent market disruptions for global traders. We specialize in proactive anomaly detection, providing advanced performance insights and best practice guidance. Our team collaborates with application developers to define meaningful SLOs, implement chaos engineering ...

feature engineering. Strong ownership and independent execution. Working knowledge of DevOps and secure engineering. Preferred Experience LLMs, embeddings, or vector databases. Behavioural, graph, or anomaly detection models. dbt, Snowpark, or Snowflake ML. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care ...

cases in weeks, not quarters — AI-driven forecasting and scenario modelling, automated reporting and commentary, close and reconciliation workflows, and collections, risk, and anomaly detection. Build and own the technical stack. Select the minimum viable, maximum scalable architecture. Make strong calls on ERP vs lightweight tooling, build ...