17 of 17 Remote/Hybrid Anomaly Detection Jobs in the UK excluding London

product stakeholders, and where ownership and innovation are encouraged. The Role You will • Co‐own an internal Python framework used to build KPI and anomaly detection trackers. • Take ownership of an anomaly detection system built on AWS, ensuring it is robust, scalable and production … work with the core data science stack such as pandas. • Experience contributing to shared codebases and managing releases. • Knowledge of SQL. • Bonus skills include anomaly detection experience, Slack API integrations, and strong SQL capabilities. What They Offer • Opportunity to co‐own critical internal frameworks and production systems. ...

product stakeholders, and where ownership and innovation are encouraged. The Role You will * Co-own an internal Python framework used to build KPI and anomaly detection trackers. * Take ownership of an anomaly detection system built on AWS, ensuring it is robust, scalable and production … work with the core data science stack such as pandas. * Experience contributing to shared codebases and managing releases. * Knowledge of SQL. * Bonus skills include anomaly detection experience, Slack API integrations, and strong SQL capabilities. What They Offer * Opportunity to co-own critical internal frameworks and production systems. ...

modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. You will be one of the engineers who makes that … real. What You Will Work On Autonomous Operations: Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations Drive elimination of manual processes. If a human is doing it repeatedly, automate it. Build space situational awareness systems so the fleet always knows ...

Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical model delivery, documentation, and handover, rather than long-term operational ownership. As our new Data Scientist (Machine Learning … will be responsible for: Build predictive, forecasting and anomaly-detection models Perform feature engineering & validation using Python/PySpark Work in Fabric Notebooks, Delta Lakehouse, and AutoML Embed models into production pipelines with our Data Engineering team Document and hand over deliverables If you are an experienced ...

Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical model delivery, documentation, and handover, rather than long-term operational ownership. As our new Data Scientist (Machine Learning … will be responsible for: Build predictive, forecasting and anomaly-detection models Perform feature engineering & validation using Python/PySpark Work in Fabric Notebooks, Delta Lakehouse, and AutoML Embed models into production pipelines with our Data Engineering team Document and hand over deliverables If you are an experienced ...

classification, data extraction, validation workflows). Design, implement, and integrate AI services and pipelines, such as Machine learning/rules-based components for classification, anomaly detection, and routing (e.g. flagging potentially incorrect invoices or exceptional cases). Fine-tuned language models or specialized inference models deployed ...

implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise ...

makes their outputs usable for downstreamsystems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

makes their outputs usable for downstream systems and training our Delivery Team for fielddeployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

Modeling Consultant to design and implement comprehensive threat models for 90-100 diverse applications. The consultant will evaluate application-generated logs, develop threat detection strategies, and report findings … Information Security team. This role requires deep expertise in Microsoft Azure security tools, log analytics, and automation to enhance the customer’s application anomaly detection capabilities. Key Responsibilities: Develop detailed threat models tailored for a large portfolio of applications with varying threat categories. Analyze logs generated ...

Arbor, Radwhere, Riverbed, A10, ExtraHop 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 ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (Legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...

alerting workflows. Experience with streaming telemetry, including tools and protocols such as gNMI, gRPC, Telegraf or gNMIc. Exposure to AI or ML-driven monitoring, anomaly detection or predictive fault identification. Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical networks. Comfortable working independently ...