226 to 250 of 275 Clustering Jobs

reviews and improving your teams' adoption of SDLC processes, CI/CD integration and mainstream databases. You'll need working experience with scaled software architecture & domain: performance, redundancy, failover, clustering etc. You'll also need working experience with source code management patterns and proficiency in API design, development & production. They are embracing AWS here, so previous experience in the Cloud More ❯

and database design Database schema creation and management Backup and recovery Ensuring data integrity Performance tuning Security Disaster recovery Proficient in SQL and PL/SQL Experience with DB clustering technologies is a definite plus Excellent problem-solving and troubleshooting skills Excellent communication and interpersonal skills Willingness to learn on other technologies such as Maria DB clusters and Postgres Auto More ❯

reviews and improving your teams' adoption of SDLC processes, CI/CD integration and mainstream databases. You'll need working experience with scaled software architecture & domain: performance, redundancy, failover, clustering etc. You'll also need working experience with source code management patterns and proficiency in API design, development & production. They are embracing AWS here, so previous experience in the Cloud More ❯

Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights Deliver robust, scalable and production-ready ML models More ❯

reviews and improving your teams' adoption of SDLC processes, CI/CD integration and mainstream databases. You'll need working experience with scaled software architecture & domain: performance, redundancy, failover, clustering etc. You'll also need working experience with source code management patterns and proficiency in API design, development & production. They are embracing AWS here, so previous experience in the Cloud More ❯

software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if our people do too. More ❯

Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights Deliver robust, scalable and production-ready ML models More ❯

Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models More ❯

in Computer Science, Engineering, or other related technical field. Technologies We Use: Python Java Terraform/OpenTofu Docker AWS Technologies, both services and core infrastructure MySQL/Postgres, database clustering, and other database paradigms Github (and Github actions) This position is not eligible for visa sponsorship. Axomic is an Equal Opportunity Employer. We base our employment decisions entirely on business More ❯

and scaling infrastructure. Analytics : Developing scripts and data outputs to automate reporting and visualizations. Ensuring timely and easily translatable data delivery for business stakeholders. Supporting customer segmentation and data clustering for insights into customer cohorts. Owning and ensuring the security, governance, and usability of visualization tools like PowerBI. Key skills for the Data Engineer include: Strong teamworking and communication abilities. More ❯

and scaling infrastructure. Analytics : Developing scripts and data outputs to automate reporting and visualizations. Ensuring timely and easily translatable data delivery for business stakeholders. Supporting customer segmentation and data clustering for insights into customer cohorts. Owning and ensuring the security, governance, and usability of visualization tools like PowerBI. Key skills for the Data Engineer include: Strong teamworking and communication abilities. More ❯

and scaling infrastructure. Analytics : Developing scripts and data outputs to automate reporting and visualizations. Ensuring timely and easily translatable data delivery for business stakeholders. Supporting customer segmentation and data clustering for insights into customer cohorts. Owning and ensuring the security, governance, and usability of visualization tools like PowerBI. Key skills for the Data Engineer include: Strong teamworking and communication abilities. More ❯

a quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau). More ❯

. Production support, including investigating and fixing production issues. Qualifications Delivery experience of re-engineering legacy programs to distributed systems would be a bonus. Implementation experience in application server clustering, performance tuning and scalability testing to support high throughput, moderate latency, high availability systems. Experience including analysis, design, coding and implementation of large-scale custom-built object-oriented applications. Excellent More ❯

exchange protocols and best practices across the full EDRM model). High level experience in consulting and using advanced eDiscovery tools (GenAI, Continuous Active Learning (CAL)/TAR workflows, clustering, and search term analysis). An ability to manage multiple eDiscovery matters, managing priorities and identifying the most efficient workflow. Ability to work in a team collaboratively in a fast More ❯

our current software solution): ExData visualisation tools PowerBI and manipulating data (Python/Excel/VBA/SQL/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if our people do too. More ❯

systems, CI/CD pipelines, GitHub Actions, MyBatis, Maven Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar tools). Distributed Systems: Experience with distributed computing , clustering , and scalability strategies . Soft Skills: Excellent communication and interpersonal skills to work effectively with both business and technology teams. Ability to thrive in a fast-paced, high-pressure environment More ❯

systems, CI/CD pipelines, GitHub Actions, MyBatis, Maven Advanced experience with FIX Engines/Routers (Raptor, Catalyst, Chronicle, or similar tools). Distributed Systems: Experience with distributed computing , clustering , and scalability strategies . Soft Skills: Excellent communication and interpersonal skills to work effectively with both business and technology teams. Ability to thrive in a fast-paced, high-pressure environment More ❯

research. Proficiency in Alteryx, including building complex workflows, utilising macros, and integrating APIs. Familiar with working with unstructured data using natural language processing (NLP) techniques such as text classification, clustering, and named entity recognition (NER), as well as integrating Large Language Models (LLMs) programmatically via APIs (Google Gemini). Knowledge of relational databases. Fluency in accessing data through third party More ❯

exchange protocols and best practices across the full EDRM model. Proven record in consulting and using advanced eDiscovery tools, such as GenAI and Continuous Active Learning (CAL) workflows, concept clustering, and search term analysis. Excellent organisational skills and the ability to oversee and support multiple eDiscovery matters, managing priorities and identifying efficient workflows. A team player with the ability to More ❯

Assists with the development of system requirements, functional requirements, and allocation of the same to individual hardware, software, facility, and personnel components. Key Skills: - Splunk Enterprise architecture, deployment, and clustering - Data onboarding (forwarders, heavy forwarders, HEC) - Search Processing Language (SPL) and dashboard environment - Knowledge of security and infrastructure data sources (SysLog, Windows event logs, NetFlow) - Altering, reporting, and playbook integration More ❯

for a Geospatial Analytics Manager. THE ROLE In this role, you will contribute to a range of projects, including location planning, network optimization, targeted marketing, as well as customer clustering and segmentation. SKILLS AND EXPERIENCE Strong geospatial experience SQL or Python Exposure to GIS tools – especially ESRI Insight analysis skills APPLY Send an email to riversteytler@harnham or apply below More ❯

a Splunk enterprise environment Essential Skills, Experience: - Minimum 8 years of experience deploying large enterprise Splunk architectures - Experience in designing and architecting large Splunk deployments - Experience with multi-site clustering architecture and deployment Qualifications: - Good oral and written communication skills - Good presentation skills ECCO Select is committed to hiring and retaining a diverse workforce. Our policy is to provide equal More ❯

BI solutions. Core expertise includes Business Intelligence, CRM & Engagement, and Advanced Analytics. The Role They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and a growing focus on geolocation More ❯

prototype development, strategic experimentation and integrating solutions into broader product and platform architecture Contribute to the firm’s AI strategy and roadmap Build robust, interpretable models for forecasting, classification, clustering, and optimisation. Act as a change agent — helping business users understand the why , not just the what . Mentor and support other data scientists, nurturing a culture of experimentation and More ❯