1 to 25 of 39 Clustering Jobs in London

Principles and practicesExceptional knowledge of scripting and programming languages such as PowerShell, Python and C#Fluent in Backup and Recovery processes and proceduresAdvanced knowledge of Clustering, High-Availability, Replication and Disaster Recovery techniquesAbility to tune Network, Storage, Server and Virtualisation layers for optimal performance and reliabilityExcellent Performance Tuning skills, in-depth ...

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 ...

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 ...

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 ...

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.Technical leadership experienceProject management experienceExcellent PowershellAn 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 ...

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 ...

breadth of knowledge across multiple domains (virtualization, storage, networking, Windows Server administration). Strong expertise in Microsoft Hyper-V at enterprise scale: failover clustering, live migration, storage spaces/S2D, virtual networking (Hyper-V virtual switch, SET), and Windows Server administration. Strong proficiency in PowerShell scripting for infrastructure automation, host ...

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 ...

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 ...

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 ...

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 ...

/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 ...

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain ...

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 ...

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. ...

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 ...

isolation and data-residency requirements. Ability to explain technical trade-offs, build consensus and lead through influence. Additional experience valued Topic modelling, document classification, clustering and entity extraction. Document-ingestion and extraction pipelines covering PDFs, Office documents, images and tables. Multimodal processing and embedding generation. Agentic workflows in which LLMs ...

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 ...