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 ❯
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, patternrecognition, 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, patternrecognition, 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 ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Kodamai
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 patternrecognition, computer science, neural networks, software development, and natural language processing. Qualifications PatternRecognition and Neural Networks skills Computer Science and Software Development skills Natural Language More ❯
City of London, London, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
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, patternrecognition, 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, patternrecognition, 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 ❯
ago and already in use in over 60 countries, the company's platform offers clients greater insight at unmatched speeds. The software builds on ground-breaking machine learning and patternrecognition techniques developed at the University of Cambridge to read and understand documents. The technology is clients to improve processes across their business. Main roles and responsibilities of More ❯
City of London, London, United Kingdom Hybrid / WFH Options
1PGR
ago and already in use in over 60 countries, the company's platform offers clients greater insight at unmatched speeds. The software builds on ground-breaking machine learning and patternrecognition techniques developed at the University of Cambridge to read and understand documents. The technology is clients to improve processes across their business. Main roles and responsibilities of 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 ❯
