13 of 13 Permanent Anomaly Detection Jobs in London

/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g., AWS AgentCore). Define and govern DevOps, platform engineering and observability ...

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 modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. Familiarity with distributed ...

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 ...

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 ...

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 ...

demos that had to stand up in front of real users. Experience packaging desktop applications or supporting Windows‐heavy enterprise environments. Exposure to forecasting, anomaly detection, optimization, time‐series systems, or other decision‐support workflows. Experience in energy, commodities, financial, trading, market operations, or industrial workflows. Team ...

expert-facing interfaces, workflow products, or technical demos for real users. Experience packaging desktop applications or supporting Windows-heavy enterprise environments. Exposure to forecasting, anomaly detection, optimization, time-series workflows, or other decision-support tasks. Experience in energy, commodities, financial, trading, market operations, or industrial workflows. Team ...

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 ...

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 ...

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 ...