24 of 24 Permanent Anomaly Detection Jobs in London

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 ...

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 ...

/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 ...

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 ...

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 ...

frameworks, and adaptive access controls. Collaborate with the Senior Architect Information Security and lead the implementation of identity governance automation, leveraging machine learning for anomaly detection and remediation. Ensure seamless integration of multi-factor authentication (MFA) with biometric and mobile device capabilities to improve both security … user experience. Champion the adoption of identity threat detection and response (ITDR) solutions to proactively identify and mitigate identity-based attacks. Develop and maintain the firm's IAM architecture, including identity lifecycle, access governance, and privileged access controls. Design secure authentication and authorization patterns (OpenID Connect, SAML, OAuth ...

identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats. Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance. Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions. … programming languages such as Python, R, or similar. Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL). Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutions Demonstrated ability to work collaboratively in cross-functional teams and effectively ...

Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management Excellent interpersonal skills with the ability to collaborate and partner with various teams ...

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 ...

Threat Detection Engineer required for global legal firm. You will be responsible for advancing the maturity of the SIEM platform alongside other strategic security solutions, working closely with internal teams to improve the organisation's overall security posture. This position focuses on onboarding new log sources, optimising data … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...

Threat Detection Engineer required for global legal firm. You will be responsible for advancing the maturity of the SIEM platform alongside other strategic security solutions, working closely with internal teams to improve the organisation's overall security posture. This position focuses on onboarding new log sources, optimising data … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...

Threat Detection Engineer required for global legal firm. You will be responsible for advancing the maturity of the SIEM platform alongside other strategic security solutions, working closely with internal teams to improve the organisation's overall security posture. This position focuses on onboarding new log sources, optimising data … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...

Threat Detection Engineer required for global legal firm. You will be responsible for advancing the maturity of the SIEM platform alongside other strategic security solutions, working closely with internal teams to improve the organisation's overall security posture. This position focuses on onboarding new log sources, optimising data … Engineering Design and implement detection use cases aligned to MITRE ATT&CK and threat intelligence Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows Continuously refine detections to reduce false positives and improve effectiveness SOC & Incident Response Support Partner with SOC analysts ...

certification or formal training APM and distributed tracing experience - OpenTelemetry, Jaeger, Zipkin Kubernetes at scale Familiarity with AI/ML concepts applied to AIOps - anomaly detection, predictive alerting, topology mapping WHAT'S ON OFFER Complex, high-impact work across serious enterprise clients from day one A close ...

certification or formal training APM and distributed tracing experience - OpenTelemetry, Jaeger, Zipkin Kubernetes at scale Familiarity with AI/ML concepts applied to AIOps - anomaly detection, predictive alerting, topology mapping WHAT'S ON OFFER Complex, high-impact work across serious enterprise clients from day one A close ...

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 ...

modern production environment. What You Will Be Doing Building and validating machine learning models including classification, unsupervised learning such as anomaly and outlier detection and ranking models Performing deep exploratory data analysis to identify trends, risk clusters and early signals Conducting time series analysis to assess trends … models into production using containerised environments Working closely with stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced SQL skills for querying structured ...

.Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and emerging risk indicators .Develop and maintain classification, ranking, and unsupervised learning models, including outlier detection solutions .Deploy and manage machine learning solutions using containerized and cloud-based platforms .Troubleshoot, debug, and enhance existing code and analytical solutions .Monitor … querying and managing structured dat a.Experience i n machine learning model development and validati on, includin g:Classification mode lsUnsupervised learning techniques (e.g., anomaly/outlier detectio n)Ranking and scoring mode lsExperience deploying machine learning models in production environments using containerized platforms such a s Podm ...

.Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and emerging risk indicators .Develop and maintain classification, ranking, and unsupervised learning models, including outlier detection solutions .Deploy and manage machine learning solutions using containerized and cloud-based platforms .Troubleshoot, debug, and enhance existing code and analytical solutions .Monitor … querying and managing structured dat a.Experience i n machine learning model development and validati on, includin g:Classification mode lsUnsupervised learning techniques (e.g., anomaly/outlier detectio n)Ranking and scoring mode lsExperience deploying machine learning models in production environments using containerized platforms such a s Podm ...

.Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and emerging risk indicators .Develop and maintain classification, ranking, and unsupervised learning models, including outlier detection solutions .Deploy and manage machine learning solutions using containerized and cloud-based platforms .Troubleshoot, debug, and enhance existing code and analytical solutions .Monitor … querying and managing structured dat a.Experience i n machine learning model development and validati on, includin g:Classification mode lsUnsupervised learning techniques (e.g., anomaly/outlier detectio n)Ranking and scoring mode lsExperience deploying machine learning models in production environments using containerized platforms such a s Podm ...

.Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and emerging risk indicators .Develop and maintain classification, ranking, and unsupervised learning models, including outlier detection solutions .Deploy and manage machine learning solutions using containerized and cloud-based platforms .Troubleshoot, debug, and enhance existing code and analytical solutions .Monitor … querying and managing structured dat a.Experience i n machine learning model development and validati on, includin g:Classification mode lsUnsupervised learning techniques (e.g., anomaly/outlier detectio n)Ranking and scoring mode lsExperience deploying machine learning models in production environments using containerized platforms such a s Podm ...