26 to 50 of 105 Anomaly Detection Jobs in London

Senior Forward Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You’ll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you’ll tackle challenges in ML generalization, guide clients on model performance, and influence product … environments Track record of delivering end-to-end ML projects in production environments It would be a real bonus, but not a requirement if: Experience with time series analysis, anomaly detection, or deep learning Apache Spark knowledge/experience PhD in relevant field, research publications, or contributions to open-source projects Prior experience in successful startups Interview More ❯

Senior Forward Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You'll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you'll tackle challenges in ML generalization, guide clients on model performance, and influence product … environments Track record of delivering end-to-end ML projects in production environments It would be a real bonus, but not a requirement if: Experience with time series analysis, anomaly detection, or deep learning Apache Spark knowledge/experience PhD in relevant field, research publications, or contributions to open-source projects Prior experience in successful startups Interview More ❯

a related field. Background in generative modeling , Bayesian deep learning , signal/image processing , or graph models . Experience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.). Understanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such as foundation models , causal inference More ❯

evolution with a focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data Architect Time Series Machine Learning Pipelines: Create robust pipelines specifically designed for time series data workflows, ensuring scalability, efficiency More ❯

security frameworks, such as ISO/IEC 27001, NIST 800-53 or OWASP You have knowledge of host hardening, auditing, logging and monitoring, network security, SEIM deployments, security analytics, anomaly detections, PKI You have proven implementation of cloud security models, particularly identity, network, and encryption You have demonstrated understanding of Microsoft security technologies and strategy You have program management More ❯

Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time More ❯

is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Staff Machine Learning Engineer specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The … machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing: Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation … Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Principal Engineers specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The More ❯

Maintain and optimise ~60 Python pipelines, refactoring legacy code into modular components. Keep Power BI dashboards accurate and up to date, supporting evolving business needs. Help implement validation and anomaly detection within their pipelines to ensure data integrity. Manage Git workflows and assist in setting up lightweight deployment pipelines. Maintain clear, up-to-date records of code More ❯

Maintain and optimise ~60 Python pipelines, refactoring legacy code into modular components. Keep Power BI dashboards accurate and up to date, supporting evolving business needs. Help implement validation and anomaly detection within their pipelines to ensure data integrity. Manage Git workflows and assist in setting up lightweight deployment pipelines. Maintain clear, up-to-date records of code More ❯

to clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for More ❯

controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management - Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability … that evade traditional security controls Behavioral Analysis - Develop and implement criteria to identify anomalous user behavior leading indicating insider threat activity Intrusion Detection - Develop and tune network anomaly control capability to produce reliable actionable data Threat Hunting - Proactively search for unknown threats within the environment. Preferred Knowledge and Experience 3+ years of relevant experience Deep understanding of More ❯

role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy … to the role: Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards … tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one More ❯

role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy … role: Platform Leadership Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards … tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one More ❯

detection, intelligence fusion, and predictive risk assessment . Analyse structured and unstructured intelligence data to generate actionable insights. Design, test, and optimise real-time algorithms for surveillance, anomaly detection, and adversarial analysis. Ensure compliance with strict national security protocols , maintaining the integrity and confidentiality of sensitive data. Skills & Experience Required: Proven expertise in data science More ❯

controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management - Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability … that evade traditional security controls Behavioral Analysis - Develop and implement criteria to identify anomalous user behavior leading indicating insider threat activity Intrusion Detection - Develop and tune network anomaly control capability to produce reliable actionable data Threat Hunting - Proactively search for unknown threats within the environment. Preferred Knowledge And Experience 3+ years of relevant experience Deep understanding of More ❯

functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled. You will … including ability to independently drive research Excellent communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial) Understanding financial markets, risk (for example Know Your Client), anomaly detection/Machine Learning (ML), project management How we'll support you Flexible working to assist you balance your personal priorities Coaching and support from experts in More ❯

extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs … other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions. More ❯

financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies. Join us as a Senior ML Research Engineer and you will More ❯

of Excellence to align data governance, quality, and reporting frameworks AI & Automation Enablement Build and scale a team focused on AI-led operational transformation (e.g. predictive analytics, smart routing, anomaly detection) Partner with data science and engineering teams to embed AI into service delivery workflows and client experience journeys Ensure all AI use cases meet compliance, governance More ❯

or equivalent quantitative field - Knowledge of Python or R or other scripting language PREFERRED QUALIFICATIONS - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems Our inclusive culture empowers Amazonians to deliver More ❯

and act on data — minimising one-off asks and driving strategic focus. Accelerate AI Capabilities Collaborate with our AI/ML team to embed intelligence into workflows — think forecasting, anomaly detection, pricing insights, and behaviour modelling. Ensure AI is applied with purpose, and explainability is baked into every feature. Technical Collaboration Partner with Data Engineering on schema More ❯

Define and evaluate key business metrics to drive decision-making and strategy. 4. Develop machine learning tools to enhance operational efficiency and human-in-the-loop processes. 5. Conduct anomaly detection and predictive analysis to forecast hardware failures and maintain operational continuity. 6. Leverage sampling methods and uncertainty analysis to evaluate associate performance accurately and cost-effectively. More ❯

business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues. Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting. Proven experience partnering effectively with senior business leaders. Proficient in data visualisation tools such as Power BI but experience of other tools welcome. Prior experience More ❯

to be scaled at the enterprise level. Demonstratable consulting skills such as targeted communications, engagement management, stakeholder management and business development. Experience with AI/ML in finance (e.g., anomaly detection, predictive AR) Competencies Analytical, planning and organizational skills. Situational and contextual intelligence of the political climate of the enterprise and how to navigate obstacles and politics. More ❯