16 of 16 Remote Pattern Recognition Jobs

to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns More ❯

to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns More ❯

creating insightful analysis and charts communicated using Python or R notebooks. Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition. Competence in Data Science reproducibility best practices. Nice To Haves Ideally experience in continuous integration and the full Data Science pipeline. Ideally experience with basic software tools and More ❯

Python, R, or other relevant programming languages and have experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you ll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. Company Benefits More ❯

vision software toolkit used in medical image analysis and inspection systems . You will be involved in both applied and strategic research, developing and optimising complex algorithms used in pattern recognition, OCR, 3D reconstruction, and AI-driven image analysis - all adapted to the specific challenges of the healthcare domain. Key Responsibilities Design, develop, and optimise C++ software libraries More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data More ❯

builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯

builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing More ❯

lead the design, implementation, and optimization of graph database solutions that power mission-critical intelligence applications. You will architect graphs that model complex relationships within data, enabling advanced analytics, pattern recognition, and discovery capabilities that traditional databases cannot support. Your expertise will drive the development of graph-based applications that reveal hidden connections and deliver actionable insights to More ❯

hybrid role for an Artificial Intelligence Engineer at Kodamai located in Glasgow with some work-from-home flexibility. The Artificial Intelligence Engineer will be responsible for tasks related to pattern recognition, computer science, neural networks, software development, and natural language processing. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language More ❯

teams to contain and mitigate threats. This role is part of a large global team which operates follow-the-sun. This role requires a 4-on, 4-off shift pattern (08:00 - 20:00, 12-hour shifts) and a hybrid work arrangement-three days on-site and one day remote per week. To be successful as a Senior Cyber … technologies including Splunk * Proactively search for potential threats using behavioural analytics, network traffic analysis, and threat intelligence. * Incident response skills, including proficiency in PCAP capture, network analysis, and traffic pattern recognition. * Knowledge of attack techniques (MITRE ATT&CK framework, malware analysis, and intrusion detection). * Proficiency in analyzing network traffic (PCAP), endpoint logs, IDS/IPS alerts, and security More ❯

teams to contain and mitigate threats. This role is part of a large global team which operates follow-the-sun. This role requires a 4-on, 4-off shift pattern (08:00 - 20:00, 12-hour shifts) and a hybrid work arrangement-three days on-site and one day remote per week. To be successful as a Senior Cyber … technologies including Splunk Proactively search for potential threats using behavioral analytics, network traffic analysis, and threat intelligence. Incident response skills, including proficiency in PCAP capture, network analysis, and traffic pattern recognition. Knowledge of attack techniques (MITRE ATT&CK framework, malware analysis, and intrusion detection). Proficiency in analyzing network traffic (PCAP), endpoint logs, IDS/IPS alerts, and security More ❯

and handoffs to ensure smooth execution and reduce duplicated work or team dependencies. Facilitate regular meetings and communication channels to ensure all stakeholders are informed and aligned. Continuous Improvement & Pattern Recognition: Proactively identify patterns, trends, and common challenges in customer integrations to inform process improvements and potential product enhancements. Establish metrics and reporting to track the effectiveness of More ❯