1 to 25 of 39 Remote Anomaly Detection Jobs

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 ❯

and usage guidelines-promoting robust governance and transparency. Perform and guide model retraining, performance monitoring, and updates for complex production models (e.g., time series, anomaly detection, natural language processing, LLM-based text summarization), proactively addressing performance gaps. Collaborate closely with domain experts to capture critical business requirements … transform, and prepare data for model training and deployment. Evaluate, implement, and refine state-of-the-art algorithms-including foundational language models, object detection/classification, and time series analysis-to tackle advanced enterprise challenges. Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating … optimizing data pipelines or analytics solutions. Deep expertise in training, deploying, and maintaining a diverse range of AI/ML models-including time series, anomaly detection, and large-scale natural language processing-across multiple environments. Strong understanding of AI model lifecycle management, including comprehensive metadata governance, monitoring 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 ❯

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 ❯

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 ❯

Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL). Exposure to spatiotemporal data analysis, including time-series anomaly detection and forecasting. Familiarity with ROS (Robot Operating System) for robotics or simulation integration. Publications in top-tier conferences/journals (e.g. More ❯

Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL). Exposure to spatiotemporal data analysis, including time-series anomaly detection and forecasting. Familiarity with ROS (Robot Operating System) for robotics or simulation integration. Publications in top-tier conferences/journals (e.g. More ❯

achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model More ❯

achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model More ❯

success criteria, and data-driven opportunities. Work with data engineers to identify and ingest necessary data sources. Data Validation & Quality Control Conduct data profiling, anomaly detection, and data cleansing. Implement data quality checks to ensure accuracy and reliability. Create dashboards, reports, and visualisations to present key insights. More ❯

teams to support Power BI and enterprise-wide self-serve analytics Implement best practices in data governance , including data quality checks, lineage tracking, and anomaly detection Automate data orchestration using tools such as Airflow , Lambda , or Step Functions Support financial and operational reporting through snapshot tables and More ❯

complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work … effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS … Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and remote work. 📈 Career Growth More ❯

complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work … effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS … Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and remote work. 📈 Career Growth More ❯

of database systems, data lakes, and data warehouse solutions Preferred Hands-on experience or familiarity with AI/ML techniques for data transformation and anomaly detection Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) Experience with S3, EC2, Secrets Manager, CloudWatch, RDS Experience More ❯

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 More ❯

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 More ❯

industry challenges. Design algorithms and experiments to support product development and enhance business intelligence. Process, clean and verify data integrity while automating event and anomaly detection models. Stay informed on technological advancements, proactively implementing new techniques to boost analytics capabilities. About You At least 2 years’ experience More ❯

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 More ❯

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 More ❯

IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data engineer wizardry will power our solutions, crafting efficient data pipelines, expanding our data platform More ❯

DevOps tools like Ansible, Jenkins Experience with Synthetic monitoring and integration of third-party tools with Dynatrace. Admin level tasks - Alert configuration, maintenance window, anomaly detection and changing threshold, custom event creation and agent upgrade/install. This position requires ability to obtain and maintain a security More ❯