1 to 25 of 26 Clustering Jobs in London

administering Microsoft SQL Server environments. Experience working with SQL Server 2016 through to SQL Server 2025. Excellent knowledge of Always On Availability Groups, Windows Clustering and High Availability/Disaster Recovery technologies. Experience administering SSRS, SSIS and SSAS. Strong understanding of SQL Server upgrades, migrations and performance optimisation. Experience supporting ...

working within the ITIL framework Experience of managing systems with RHN satellite Desirable Experience with JBoss Linux performance tuning skills Experience with Linux failover clustering Experience of Kerberos in regards to securing Linux applications and AD integration. Experience of Cisco UCS hardware. Disaster Recovery and Business Continuity planning and execution ...

server and data centre operations. Strong knowledge of Windows and Linux system administration. Hands‐on experience with MS Exchange Server and SQL Server (replication, clustering, and failover). Solid understanding of Microsoft Azure cloud services and migration patterns. Familiarity with automation tools (PowerShell, scripting) is beneficial. Excellent communication and stakeholder ...

working within the ITIL framework Experience of managing systems with RHN satellite Desirable Experience with JBoss Linux performance tuning skills Experience with Linux failover clustering Experience of Kerberos in regards to securing Linux applications and AD integration. Experience of Cisco UCS hardware. Disaster Recovery and Business Continuity planning and execution ...

Experience supporting Nutanix AHV environments. Knowledge of hyper-converged infrastructure technologies. Experience with firmware upgrades, lifecycle management and patching. Strong understanding of high availability, clustering and disaster recovery. Windows Server infrastructure experience. PowerShell scripting and automation experience would be advantageous. Excellent troubleshooting, documentation and communication skills. What's on Offer ...

automation languages (e.g. PowerShell, Python, SQL) for forensic workflow optimisation.* Exposure to AI and machine learning applications in forensic and eDiscovery contexts (e.g. triage, clustering, anomaly detection, generative summarisation).* Experience integrating forensic outputs within wider eDiscovery, incident response or regulatory frameworks.* Professional certifications such as EnCE, GASF, GCFA, CISSP ...

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure ...

enterprise environments Splunk Platform Expertise Hands‐on experience in Splunk administration within production environments Demonstrated ability to manage large, distributed Splunk deployments, including: Indexer clustering at scale Smart Store architectures High‐volume data ingestion environments (multi‐terabyte per day) Strong understanding of cluster lifecycle operations, performance optimization, and reliability engineering ...

within the ITIL framework Experience of managing systems with RHN satellite Desirable Recent experience with JBoss Linux performance tuning skills Experience with Linux failover clustering Experience of Cisco UCS hardware. Service-orientated customer facing skills Disaster Recovery and Business Continuity planning and execution Proven skills in aligning IT with organisational ...

professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step‐free entry, accessible toilets on all floors ...

Proven experience with infrastructure automation, particularly Ansible, in large enterprise environments. Splunk Platform: hands‐on experience in Splunk administration, managing large, distributed deployments, indexer clustering, Smart Store architectures, and high‐volume ingestion. Cribl Platform: certified or highly experienced Cribl administrator, managing distributed deployments with numerous Worker Nodes and extensive Edge ...

modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural ...

modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural ...

companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals. Graph Machine Learning : Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques. Production Data & Platform Engineering : Experience building and operating entity stores, graph pipelines, knowledge infrastructure, and low‐latency ...

collaborating with cross-functional engineering and product teams. Highly Desirable Experience working with NHS, healthcare, or population health data. Population Health Management. Risk stratification, clustering, or segmentation. Healthcare demand and capacity analytics. Azure Databricks or similar distributed data platforms. Tableau dashboard migration experience. Workforce planning or supply chain analytics. What ...

with an engineering mindset: you can build reliable pipelines, not just notebooks. Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost ...

/Debian preferred). Knowledge of cloud provisioning platforms (Terraform preferred). Exposure to configuration management tools (Chef preferred). Experience with containerization/clustering technologies (Docker preferred). Familiarity with observability and alerting tools (Prometheus/Grafana or ELK/EFK). Practical experience with CI/CD pipelines ...

Data Architect within large-scale data programmes Strong expertise in Entity Resolution, Record Linkage and Master Data Management Experience designing matching, deduplication and clustering solutions across complex datasets Knowledge of golden record models, survivorship rules and data standardisation frameworks Experience measuring and optimising matching performance, including accuracy, precision, recall ...

industry trends, tools, and methodologies to continuously improve the impact of user research. Use AI tools to accelerate the mechanics of research - transcription, tagging, clustering, first-pass synthesis - while personally validating outputs for accuracy, applying the scrutiny that separates a defensible insight from a plausible-sounding one. What we expect ...

industry trends, tools, and methodologies to continuously improve the impact of user research. Use AI tools to accelerate the mechanics of research - transcription, tagging, clustering, first-pass synthesis - while personally validating outputs for accuracy, applying the scrutiny that separates a defensible insight from a plausible-sounding one. What we expect ...

month reimbursement for gym membership 🥕 Meal voucher: £200 monthly allowance for meals 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience) #J-18808-Ljbffr ...

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 ...

What We Do At the company, 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 engineering problems ...

Python-based automation scripts for keyword research, rank tracking, backlink analysis and competitor monitoring Integrate AI/ML models (e.g. NLP for content optimisation, clustering for keyword grouping) into SEO workflows Build APIs and data pipelines to connect SEO tools, analytics platforms and internal dashboards Data Analysis & Reporting Develop automated … with Google Search Console, Google Analytics and major SEO tools (Ahrefs, SEMrush, Screaming Frog, Search Atlas, Surfer SEO) AI & Machine Learning Experience applying NLP, clustering or predictive modelling to SEO or marketing data Familiarity with frameworks like scikit-learn, spaCy, TensorFlow or Hugging Face Nice to Have Strong SQL skills ...

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 ...