24 of 24 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

responsibilities (1) integrate new Amazon organization van requirements (e.g. Ship With Amazon (SWA)/Delivery Service Partner (DSP) Lite); (2) move to clustering, probability-based modelling and agentic AI; (3) scale optimization models with objective function being the operational costs; (4) evolve the user interface from Excel based ...

assertions and pass/fail criteria precise enough to gate a release and stable enough to avoid false failures Build failure-triage tooling: failure clustering, per-failure recordings, and dashboards that autonomy engineers can use without assistance Extend the scenario authoring tooling used by the V&V team, across backend ...

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 ...

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 ...

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 Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety ...