15 of 15 Anomaly Detection Jobs in London

default (schema validation, completeness, freshness, thresholds, alerting) Improve pipeline resilience, monitoring, observability and recovery mechanisms Integrate AI/ML capabilities where appropriate (e.g. anomaly detection, intelligent monitoring) Support delivery of a wider Data Strategy programme , improving consistency and data quality Ensure pipelines are production-ready, documented … reusable pipeline frameworks for large, multi-domain platforms Delivery within enterprise data transformation programmes with strong SLAs Exposure to AI-enabled data pipelines (e.g. anomaly detection, intelligent monitoring) Experience with data quality at scale Understanding of MLOps or deploying ML models into production Must-Haves Strong hands ...

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 ...

outputs and business impact. Work closely with lifecycle and engagement teams to embed model outputs into decision-making processes. Own and stabilise an existing anomaly detection solution, addressing bugs, gaps or reliability issues. Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills … Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention modelling or anomaly detection is beneficial. How to Apply Apply below if you feel this contract would be a strong fit for your skills ...

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 ...

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 ...

human identity sprawl. Ensure strong monitoring, alerting, and telemetry for IAM services and integrations, and partner 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, HR, application ...

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 ...

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 ...

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 ...

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 ...

also play a key role in embedding AI and automation across the testing lifecycle, from intelligent test selection and self‐healing automation through to anomaly detection and governance for AI‐powered features. What you’ll be doing Defining and delivering the enterprise quality strategy across functional, automation ...

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. ...

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 ...