12 of 12 Permanent Anomaly Detection Jobs in London

domains. Develop KPI engineering models for network performance, service quality, fault behaviour, customer impact, capacity, and resilience. Build statistical and machine learning models for anomaly detection, fault prediction, root-cause analysis, degradation detection, and proactive assurance. Develop data aggregation, cleansing, enrichment, and feature engineering pipelines … topology, or service assurance data. Understanding of telecom network domains including RAN, Core, IP/MPLS, SD-WAN, Transport, Cloud, or OSS. Experience developing anomaly detection, fault analysis, predictive analytics, or KPI models. Experience with data aggregation, cleansing, enrichment, and data quality assessment. Experience with graph analytics ...

growing AML Team in London. This role is a unique opportunity to work behind the scenes of company transactions, develop our risk detection and assessment to the next level regarding regional typology understanding and at the same time, provide our customers with the seamless service they deserve. What … capabilities. 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. Design and build modular detection systems able to detect in an evidenceable way red flags ...

technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks ...

Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions. Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows. Excellent communication skills, with experience collaborating across technical, investment ...

field. Bring experience in global data operations or support teams within peer firms, with a proven track record of delivering value. Apply expertise in anomaly detection methods, data quality workflows, and statistical best practices. Communicate effectively across technical and investment teams. Navigate complex data environments and support ...

networks, underpinned by SON and closed-loop automation. Apply Generative AI & Autonomous Networks, identify and pilot GenAI use cases (AI-assisted planning, anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks. Productionise AI/ML models, collaborate with data ...

secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations, and iterating ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

initiatives and high-impact business challenges. The Role Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting Develop anomaly detection solutions to identify issues impacting customer journeys and performance Design and evaluate experiments, including A/B testing Partner with Product ...

over 4 million members. Working within a small, high-impact Data Science team, you'll develop models across retention, CLV, recommendations, search, forecasting and anomaly detection, partnering closely with Product, Marketing, CRM and Finance. The Role Build retention, churn and CLV models Develop recommendation and search algorithms ...

automated, and semi-automated activity , identifying deception, obfuscation, and evasion techniques. Develop and refine methodologies for analysing non-human actors , including behavioural baselining and anomaly detection. Maintain detailed analytical records, datasets, and evidential chains suitable for briefing, assessment, and escalation. Produce clear, compelling written intelligence reports , including threat assessments ...

Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response (ITDR) solutions. ...