76 to 88 of 88 Clustering Jobs in England

analytical delivery. About us In 2025, the boards of NHS South East London ICB and NHS South West London ICB entered into a clustering arrangement, meaning that we share a chair, chief executive officer and an executive team, but we remain as separate, statutory organisations. This also means that … Snowflake integration, stored procedures, star schema, building curate layer, incremen-tal models, slowly changing dimensions Significant experience and knowledge of per-formance & cost optimization: clustering, mi-cro-partitions, credit consumption, resource monitoring, warehouse sizing, query profile, account usage views, schema information Significant knowledge and experience of se-curity, governance & compliance ...

environment. Experience of automation using Configuration Management tools like Ansible, Chef, Puppet, Salt Stack. Experience of supporting production VMware environments. Experience of Symantec Veritas Clustering Production Support. Experience to performing diagnostic and troubleshooting of the AWS Product set such as EC2, Lambda, EKS, ECR, WorkSpaces, EBS, EFS, S3, RDS MSSQL … systems such as Service Now and an understanding of priorities and SLA’s. Operational Provide project support for the Production Linux environments with Symantec Clustering Technology. Responsibilities include Linux backup/restores, daily checks, maintenance tasks and building new systems and applying service packs. Manage and escalation problems as appropriate. ...

Job Description What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing ...

level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake‐native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern … Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS 239, MDM AI/ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost‐based tuning Data Landscape The Data Architect will work across the following technology landscape. Candidates should have direct experience with ...

services for the business: Active Directory VMWare ESXi, Horizon & VCentre Windows Server Windows client engineering Intune HPe server and storage hardware Exchange Server Windows clustering M365 cloud services Backup services Service automation Monitoring and alerting A variety of line of business applicationsWhat you'll be doingProviding line management … including, but not limited to conditional access, SSO, application registration, provisioning), M365 & IntuneWindows Server/clientWindows certificate servicesActive Directory (and associated technologies), Exchange Server, clustering and file serversSMTP HPe hardwareNetwork routing/802.1x/firewallingCisco call managerMonitoring and alerting techniques ...

PostgreSQL and Oracle who will be responsible for implementation, support and maintenance of mission critical database environments. The administration of these environments includes clustering, storage, securing, monitoring, performance tuning, troubleshooting, and disaster recovery. This person will help manage and support current and future database and storage environments and initiatives … issues and needs Position Requirements: 5+ years of production PostgreSQL database engineering experience 5+ years of production Oracle database engineering experience desired Experience with clustering, replication and mirroring a plus Strong knowledge of database performance tuning and configuration tools Strong technical problem-solving skills essential SAN knowledge a plus Proven ...

rather than output, and make the method calls yourself when they matter. Own the team's existing commitments. The team's current work on clustering, attribution, heuristics and labelling continues to serve the platform. You own its reliability and its trade offs, and you decide what to stop. Work across … building a large dataset or collection from nothing, including the unglamorous parts: schema decisions, quality checks, and maintenance. Blockchain or on chain data experience: clustering, attribution, heuristics, anomaly detection, mempool analysis, or research into privacy preserving systems. Experience in payments, fraud or risk data science, where the cost ...

End Date Thursday 22 October 2026 Salary Range £72,702 - £80,780. Flexible Working Options Hybrid Working, Job Share. Job Title Senior Infrastructure Specialist Location Leeds and Manchester Hours Full time Working Pattern Hybrid, 40 ...

databases across all environments Skills we can’t do without: Postgresql dba, core development/maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector PostGIS, and AGE very useful. Additional skills in Oracle or MSSQL would also be required. Candidate should have experience … Oracle Performance optimisation – index tuning, execution plan analysis, query optimisation, data partitioning Backup and recovery – Capable of defining backup strategies based on environment constraints Clustering – Experience with managing database clusters, including handling failover strategies Experience with data modelling: designing, creating & managing schemas, tables, and views to support the data models ...

model development from day one. The Project Working within the insurance sector, you'll build scalable customer analytics solutions focused on: Customer segmentation and clustering Propensity modelling Forecasting models Insurance customer behaviour analysis Large-scale model development and delivery A key deliverable will be the creation of a primary customer … quote behaviour , so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential. What You'll Be Doing Developing customer segmentation and clustering models Building propensity and predictive models Creating forecasting solutions using customer and transactional data Working within notebook-based analytics environments Packaging models for deployment ...

successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will … products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast‐growing start‐up We serve lunch every weekday, plus a variety ...

successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will … products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need to do the best work of their careers. Our benefits ...

resolution Encode triage logic into automation pipelines so future instances are classified and escalated without manual intervention Apply ML and AI techniques — crash clustering, anomaly detection, pattern recognition — to build smarter triage pipelines Build debug tooling, scripts, and CI/CD integrations that surface OS-level signals and validate platform … level development Exposure to automation frameworks, CI/CD pipelines, or scalable test systems Experience applying ML or AI techniques to systems problems — crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization Familiarity with LLMs or generative AI tooling in an engineering context — prompt engineering, RAG pipelines ...