1 to 25 of 35 Anomaly Detection Jobs in London

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation strategies ...

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

orchestrate batch and real-time data pipelines. Lead data modelling, cataloguing, and documentation efforts. Optimise performance across data tools and technologies. Implement automated testing, anomaly detection, and validation frameworks. Support monitoring, observability, and incident-response processes. Ensure strong data governance, including access controls, encryption, and anonymisation. Manage ...

orchestrate batch and real-time data pipelines. Lead data modelling, cataloguing, and documentation efforts. Optimise performance across data tools and technologies. Implement automated testing, anomaly detection, and validation frameworks. Support monitoring, observability, and incident-response processes. Ensure strong data governance, including access controls, encryption, and anonymisation. Manage ...

algorithms to enhance & expand platform capabilities Design advanced search and recommendation capabilities Create and refine machine learning models for risk identification and pattern detection Collaborate with engineers to integrate your data science solutions into our platform Design and analyze A/B tests to measure the effectiveness … development Experience with OSINT or intelligence analysis tools and methodologies Understanding of data privacy regulations and security considerations Experience with time series analysis and anomaly detection Familiarity with A/B testing and experimentation design Experience working with PAI sources and analytical techniques Knowledge of graph databases ...

algorithms to enhance & expand platform capabilities Design advanced search and recommendation capabilities Create and refine machine learning models for risk identification and pattern detection Collaborate with engineers to integrate your data science solutions into our platform Design and analyze A/B tests to measure the effectiveness … development Experience with OSINT or intelligence analysis tools and methodologies Understanding of data privacy regulations and security considerations Experience with time series analysis and anomaly detection Familiarity with A/B testing and experimentation design Experience working with PAI sources and analytical techniques Knowledge of graph databases ...

chance to deliver real-world outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards ...

focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search ...

focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search ...

production-grade ML and GenAI solutions in high-impact operational environments. What you’ll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including ...

deploy production-grade ML and GenAI solutions in high-impact operational environments. What youll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including ...

production-grade ML and GenAI solutions in high-impact operational environments. What you’ll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including ...

stack) Integrate knowledge graph retrieval & reasoning into LLM/RAG/GraphRAG systems Develop and evaluate graph ML/embedding models (link prediction, anomaly detection) Optimize graph performance, scaling, and query efficiency Liaise with client stakeholders: translate business problems into graph solutions Mentor junior engineers, contribute ...

stack) Integrate knowledge graph retrieval & reasoning into LLM/RAG/GraphRAG systems Develop and evaluate graph ML/embedding models (link prediction, anomaly detection) Optimize graph performance, scaling, and query efficiency Liaise with client stakeholders: translate business problems into graph solutions Mentor junior engineers, contribute ...

regulated sector objectives. This is a London-based role with hybrid working support. Key Responsibilities: Design, develop, and iterate ML models for forecasting, classification, anomaly detection, and GenAI/LLM applications. Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly. Transition validated experiments into ...

. You will work on a diverse mix of projects, ranging from complex Generative AI architectures (RAG, Agents) to Machine Learning problems (forecasting, classification, anomaly detection). The ideal candidate will have strong software engineering fundamentals alongside deep ML knowledge. Role: Architect & Build GenAI Systems: Design ...

. You will work on a diverse mix of projects, ranging from complex Generative AI architectures (RAG, Agents) to Machine Learning problems (forecasting, classification, anomaly detection). The ideal candidate will have strong software engineering fundamentals alongside deep ML knowledge. Role: Architect & Build GenAI Systems: Design ...

classes, data modeling, reconciliation, normalization, and health dashboards. Event Management : Expertise in alert ingestion, correlation, suppression, and integrations with monitoring tools. AIOps : Experience with anomaly detection, ML models, and automation workflows. Cloud & Hybrid Environments : Exposure to AWS, Azure, GCP, and hybrid infrastructure. Data Governance : Familiarity with CMDB ...

classes, data modeling, reconciliation, normalization, and health dashboards. Event Management : Expertise in alert ingestion, correlation, suppression, and integrations with monitoring tools. AIOps : Experience with anomaly detection, ML models, and automation workflows. Cloud & Hybrid Environments : Exposure to AWS, Azure, GCP, and hybrid infrastructure. Data Governance : Familiarity with CMDB ...

environment where you will apply cutting-edge machine learning methods to unique datasets. Key responsibilities: Lead and contribute to ML projects, including forecasting, classification, anomaly detection, and LLM/GenAI applications. Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches. Transition experimental models into ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

huge impact to the security of the UK. Core Duties • Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications • Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform ...