1 to 25 of 81 Anomaly Detection Jobs in the UK

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 … 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 … 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 More ❯

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 … 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 … 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. More ❯

involves leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and reduce Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR). The ideal candidate will have deep expertise in observability, monitoring, distributed systems, and strategic platform development. … Key Responsibilities Platform Leadership: Architect, design, and implement a scalable Observability Platform supporting metrics, logs, traces, and events; integrate ML/AI solutions for anomaly detection and predictive insights; develop platform capabilities to ensure system reliability and performance; establish standards and best practices. Strategic Initiatives: Collaborate with … metrics, logs, traces) and tools such as Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana, Elastic Stack. Hands-on experience integrating ML/AI models for insights, anomaly detection, and predictive analysis. Strong expertise in designing scalable distributed systems for high-throughput data processing. Proficiency in programming languages such as More ❯

the team on projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries … sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data More ❯

the team on projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries … sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data More ❯

ll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream processing platform. What You'll Do You'll collaborate with a team of skilled … engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions … of events. You'll design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders, tailored to our unique data streams. Creating robust evaluation frameworks and metrics to assess the performance of these algorithms will be crucial. You'll also work More ❯

develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. Partner with data scientists to improve … AI-driven predictive analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with sales and customer More ❯

develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. Partner with data scientists to improve … AI-driven predictive analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with sales and customer More ❯

the Swift Data Center of Expertise team, in charge of defining, prototyping, tuning and evaluating solutions. You will be working with initial focus on anomaly detection, sanctions screening or data related initiatives to support the various business functions. The Swift Data & Services offerings are changing the way … Practices Strong Communications Skills Stakeholder Management Continuous Improvement Analytical Thinking In addition, the following would be beneficial: Market & Product Knowledge - Knowledge of Swift messaging, Anomaly detection, financial crime or sanctions screening solutions Artificial Intelligence/Machine learning knowledge Git, Jira, Confluence, UNIX 4. Education University degree in More ❯

. You will encounter many challenges, including - Scale (build models to handle billions of records) - Accuracy (High precision and recall requirements) in deduplication and anomaly detection - Diversity (models need to work across different data formats, languages, and sources) You will help us to - Build scalable systems for … intelligent catalog management using ML/AI-based deduplication and entity resolution - Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets. - Build knowledge graph-based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at More ❯

stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented More ❯

stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented More ❯

stewardship best practices, ensuring they effectively leverage governed data assets and self-service capabilities. Monitoring & Data Quality Assurance: Implement data validation, lineage tracking, and anomaly detection mechanisms to ensure high data quality across PNE analytics initiatives. What can you expect from Mars? Work with diverse and talented More ❯

solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on … III, GDPR) and ethical AI principles. Ideate, design, and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation, and predictive modeling. Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to … of LLMs and their application in areas like financial document analysis, customer service chatbots, or regulatory reporting. Expertise in fraud detection techniques, anomaly detection, and compliance analytics. Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial More ❯

solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy … III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to … of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial More ❯

solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy … III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to … of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial More ❯

etc.) Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud More ❯

data workflows to improve data processing, data governance, and predictive analytics capabilities. Use Azure AI and machine learning tools to automate data quality assurance, anomaly detection, and pattern recognition for enhanced decision-making. Data Encryption & GDPR Compliance Implement data encryption protocols to secure sensitive information before ingestion. More ❯

quality and transformation integrity. Monitoring & Performance Optimization: Monitor data pipelines with tools like Prometheus and Datadog to ensure optimal performance and health. Proactively implement anomaly detection and optimize system performance and resource allocation. Collaborate with cross-functional teams to align DataOps practices with organizational goals. Apply agile More ❯

integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations. Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence. Security, Governance & Observability Deep knowledge of data security, compliance, and governance best practices for More ❯

analytics capabilities, enabling non-technical users to interact with SAP data without heavy IT reliance. Identify opportunities for AI/ML-driven analytics, improving anomaly detection, predictive insights, and automated reporting in SAP environments. Collaborate with cloud architects to enhance real-time and batch processing pipelines, ensuring More ❯

to incidents on our big data pipeline infrastructure. Build out observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve More ❯

big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve More ❯

big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve More ❯

varying functions and levels in data quality and root cause analysis techniques. Experience using Power BI, Tableau, or similar tools for data visualisation and anomaly detection. Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams. Ability to integrate AI-driven insights into your work More ❯