1 to 25 of 29 Clustering Jobs in London

automation experience is required.Powershell (ideally some C# exposure)An in-depth understanding of the Windows platform and related technologies (e.g., Active Directory and Failover Clustering) is required, as are excellent troubleshooting and problem-solving skills, and familiarity with a variety of tracing tools.Experience with common Windows Server applications and management ...

automation experience is required.Powershell (ideally some c# exposure)An in-depth understanding of the Windows platform and related technologies (e.g., Active Directory and Failover Clustering) is required, as are excellent troubleshooting and problem-solving skills, and familiarity with a variety of tracing tools.Experience with common Windows Server applications and management ...

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, RCA, or equivalent.#LI ...

efficiency and low latency.Ability to collaborate effectively in a fast-paced, distributed environment.Strong proficiency in both written and spoken English communication.Desirable/Bonus ExperienceMySQL clustering technologies (e.g. Galera Cluster).Monitoring tools such as Percona PMM.Practical experience with PostgreSQL, Redis, and MongoDB.Cloud platforms, especially GCP (Cloud SQL), with ...

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 ...

temporal data 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 and surrogate ...

models and multi-model architectures Natural language processing and information extraction Agentic and automated research workflows Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. ...

product lifecycle.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 componentsAdditional Preferred ...

Ansible, in large enterprise environmentsSplunk Platform ExpertiseHands-on experience in Splunk administration within production environmentsDemonstrated ability to manage large, distributed Splunk deployments, including:Indexer clustering at scaleSmart Store architecturesHigh-volume data ingestion environments (multi-terabyte per day)Strong understanding of cluster lifecycle operations, performance optimization, and reliability engineeringCribl Platform ExpertiseCertified ...

/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 ...

ELK.A professional-level cloud certificationProduction 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 datasetsAccessibility StatementOur London studio is fully accessible, with step-free entry, accessible toilets on all floors, and quiet spaces available. ...

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 ...

role offers a good mix of hands-on engineering, technical design and performance optimisation. Key Skills: Strong Google Cloud Platform experience BigQuery, including partitioning, clustering and performance tuning Dataflow, Dataproc and Pub/Sub Cloud Composer/Apache Airflow Python and PySpark SQL Cloud Storage Terraform Git and CI/ ...

client workflows, ensuring we stay at the forefront of the industry. Strong proficiency in Python, with a solid understanding of ML fundamentals, including classification, clustering, time series analysis, and regime detection. Hands-on experience with LLM/RAG/agent technologies, demonstrating a track record of shipping models beyond notebooks. ...

with AWS would be beneficial. Design and implement solutions for: Spring Boot & Hazelcast upgrades (including major version transitions) Analyze existing distributed system usage (caching, clustering, locking) Refactor applications toward stateless, scalable microservices Implement and optimize integrations using Kafka-based event-driven architecture Collaborate with QA, DevOps, and architecture teams ...

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 I be doing? Identify ...

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 ...

using to provide better insights to our users. Predicting when a user is going in overdraft, when a card payment is coming through or clustering a huge set of subscriptions are a few of the problems we are tackling Scaling: our services are used by millions of people. We need ...

Site Reliability Engineering principles and operational excellence. Experience with infrastructure reliability, service availability, resiliency, and performance optimization. Storage Space Direct a nd failover clustering technical expertise . (Storage Spaces Direct enables you to build highly available, software-defined storage by pooling local disks (SSDs, NVMe drives, and HDDs) across multiple … Extensive experience in operating enterprise private cloud environments on Hyper-V. Strong experience supporting enterprise-scale VDI deployments on Hyper-V. Hyper-V Failover Clustering and high-availability architecture. Storage integration including SAN, NAS, Storage Spaces Direct (S2D), Cluster Shared Volumes (CSV), and storage optimization. Networking within Hyper-V environments ...

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 ...

Support Oracle E-Business Suite R12 environments and associated middleware technologies. Manage RMAN backup and recovery processes. Administer Oracle Enterprise Manager environments. Support WebLogic clustering and JVM tuning activities. Create and utilise AWS CloudFormation templates to automate infrastructure deployment. Work collaboratively within Agile product delivery teams. What you'll need … supporting Oracle E-Business Suite R12. Expert experience supporting SOA, WebLogic, Portal and IAM technologies. Expert experience supporting EBS Concurrent Managers. Experience of WebLogic clustering and JVM tuning. Strong scripting and automation experience. Practical Git experience. Ability to create and utilise AWS CloudFormation templates. Experience working within Agile delivery environments. ...

Support Oracle E-Business Suite R12 environments and associated middleware technologies. Manage RMAN backup and recovery processes. Administer Oracle Enterprise Manager environments. Support WebLogic clustering and JVM tuning activities. Create and utilise AWS CloudFormation templates to automate infrastructure deployment. Work collaboratively within Agile product delivery teams. What you'll need … supporting Oracle E-Business Suite R12. Expert experience supporting SOA, WebLogic, Portal and IAM technologies. Expert experience supporting EBS Concurrent Managers. Experience of WebLogic clustering and JVM tuning. Strong scripting and automation experience. Practical Git experience. Ability to create and utilise AWS CloudFormation templates. Experience working within Agile delivery environments. ...

enabling scalable and reliable graph operations that support Graph RAG and AI-driven workloads.Key ResponsibilitiesPlatform Engineering & AdministrationConfigure and manage Neo4j clusters (HA setups, causal clustering)Implement and maintain indexes, constraints, and storage optimizationManage backup, restore, and disaster recovery processesPerformance OptimizationTune and optimize Cypher queries for production workloadsOptimize graph traversal patterns … Graph Architects, Agentic Platform Leads, and data teamsSupport development teams with query optimization and platform guidanceContribute to best practices and platform standardsRequired SkillsNeo4j Administration (clustering, backup, recovery, monitoring)Cypher Optimization (query tuning, execution plans, indexing strategies)Cloud Infrastructure (AWS/Azure/GCP, containerization, scaling)Security (RBAC, authentication, data protection ...

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 ...

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 ...