151 to 175 of 286 Clustering Jobs in the UK

LLMs. Experience in working with GenAI stack will be treated as strong credentials. Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking. Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery. Good problem More ❯

candidate will join our research team whose main goal is to analyse, implement and experiment with different algorithms to solve or improve solutions to different challenges such as summarization, clustering and event detection. How we work We currently have a team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project … revision control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯

Experience with performance tuning utilizing indexes, disk and query optimizations, and other methods. Experience with database replication and failover mechanisms. Experience with encryption methodologies for databases. Experience with database clustering techniques. Experience with at least two of the following database technologies (Oracle, Postgres, MSSQL). Education and Experience: Seven or more years of direct experience working as a Database Administrator. More ❯

driven architecture, and hybrid cloud data strategies. Strong proficiency in SQL and experience with schema design and query optimization for large datasets. Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning. Experience with version control systems (e.g., Git). Track record of success advising C-level executives and aligning technical solutions with business goals. Google Professional Data Engineer More ❯

driven architecture, and hybrid cloud data strategies. Strong proficiency in SQL and experience with schema design and query optimization for large datasets. Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning. Experience with version control systems (e.g., Git). Track record of success advising C-level executives and aligning technical solutions with business goals. Google Professional Data Engineer More ❯

driven architecture, and hybrid cloud data strategies. Strong proficiency in SQL and experience with schema design and query optimization for large datasets. Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning. Experience with version control systems (e.g., Git). Track record of success advising C-level executives and aligning technical solutions with business goals. Google Professional Data Engineer More ❯

Scripting in Go or Bash Experience working in security-conscious environments Eligible for UK SC (Security Check) clearance – they’ll support clearance for the right person! ️ Bonus experience: Redis clustering, PostgreSQL tuning, or similar database expertise Exposure to zero-trust architectures or compliance frameworks Familiarity with Vault or WireGuard Location & Flexibility: The company is remote-friendly across the UK , with More ❯

and MongoDB (or other NoSQL databases) Experience working with message brokers i.e. RabbitMQ, ServiceBus or Kafka Good understanding of pipelines such as Jenkins Good understanding of database operations and clustering Prior experience with the likes of WinForms, WCP or WPF Understanding of either AWS, Azure or other cloud environments Experience with large scale systems On offer: Annual bonus 25 days 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 ❯

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 ❯

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 ❯

SQL queries for data extraction, transformation, and loading (ETL) processes. Improve query performance and reduce costs by optimising storage and processing in BigQuery. Implement best practices for data partitioning, clustering, and materialised views. PostgreSQL Management & Optimization: Design, develop, and maintain databases in PostgreSQL. Optimise SQL queries and database performance in PostgreSQL, ensuring efficient data retrieval and processing. Implement and manage 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 ❯

Engineering, or other related technical field. Technologies We Use: Python Java Terraform/OpenTofu (nice to have) Docker AWS Technologies, both services and core infrastructure MySQL/Postgres, database clustering, and other database paradigms Github (and Github actions) 8 bank holidays SSP Work from home flexibility Paid parental leave 5-Day Working Abroad Policy per year Pension program Bike storage More ❯

Ability to interpret business and marketing insights . Confident communication and stakeholder management . Experience working with Google Analytics data. Experience in advanced customer analytics, segmentations, lifetime value models, clustering . #J-18808-Ljbffr 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 ❯

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 ❯

health and stability, create improvement plans, and ensure automation/lifecycle management Manage SSL Certificates including public key management Knowledge of Network topologies, Storage (SAN/NAS/DAS), clustering, and virtualization technologies Interaction with Oracle/PostgreSQL databases Manage disaster recovery testing for Middleware Services and Product Grid applications Participate in Architecture forums, demonstrating pros/cons of different 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 ❯