14 of 14 Permanent Anomaly Detection Jobs in London

systems using large-scale data and telemetry. Build automation tools for threat detection, incident response, and security operations. Develop software components for anomaly detection and behavioural analytics. Work on cybersecurity engineering problems involving complex distributed systems. Create and optimise pipelines for processing and analysing security … cybersecurity principles, threat models, and detection strategies. Ability to design and implement complex distributed systems. Experience working with data‐driven security or anomaly detection systems. Strong leadership and communication skills for technical influence. Ability to operate as a senior individual contributor in a high‐impact ...

Role We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit … technical direction in a fast-paced, evolving environment with minimal structure. Key Responsibilities Develop and deploy data science models, with a focus on anomaly detection Work across multiple datasets, including biometric and GPS/location data Analyse and interpret data generated from wearable hardware devices Collaborate with ...

goes next, what we retire, and what we keep. Treat the network as a system that learns. Drive the use of AI in operations: anomaly detection across flow and streaming telemetry, predictive failure analysis on optical and routing layers, automated triage and runbook execution, traffic‐engineering … billing integrations. Enough to debug jointly with the Systems team, not to own the stack. Exposure to applying ML or AI in network operations (anomaly detection on telemetry, predictive failure analysis, automated remediation, model‐informed traffic engineering). We're not looking for a researcher ...

/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 ...

combinations, and non‐human identity sprawl. Ensure strong monitoring, alerting, and telemetry for IAM services and integrations, partnering with SecOps where needed (SIEM, logging, anomaly detection). Drive reduction in repeat incidents through disciplined root‐cause analysis, prevention, and engineering partnership. Build strong partnerships across Security, Infrastructure ...

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 ...

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 ...

consistency Automation & Advanced Analytics Enablement Eliminate manual reporting and spreadsheet‐based workflows through engineering solutions Enable downstream use cases such as forecasting models, anomaly detection, and AI‐driven insights Ensure data structures are suitable for experimentation and advanced analytics Team Leadership Lead and develop a small team ...

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 ...

management, BI, CDP/CRM, ad platforms, experimentation, consent/privacy, data warehouses) including build vs buy vs partner recommendations. Build proactive insight systems: anomaly detection, opportunity surfacing, segmentation, attribution-informed signals, and next best actions that guide teams to outcomes. Ensure Analytics actively powers other pillars ...

hybrid capacity from our London office.**You Will:*** **Develop and deploy AI-native solutions** to automate trading, remittance network funding, and FX cost anomaly detection* **Stay ahead of the market:** Monitor trends in payments, Treasury, and stablecoin bringing informed perspective to product planning and external partnerships ...

hybrid capacity from our London office. You Will Develop and deploy AI‐native solutions to automate trading, remittance network funding, and FX cost anomaly detection. Stay ahead of the market: Monitor trends in payments, Treasury, and stablecoin, bringing an informed perspective to product planning and external partnerships. ...

legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud … platform. Here’s how you’ll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate ...

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 ...