7 of 7 Permanent Clustering Jobs in Central London

to meet deadlines Rapid adaptability in terms of technology and approach are key Desirable Skills and Technologies: Either strong Linux sys admin and KVM skills or VMware - ESX, vCentre, Clustering, HA, DRS, vRealize, Update Manager, hardening, storage integration, deep trouble shooting A proven track record in technical computing-based environments A deep understanding of Linux and its broader eco system More ❯

Windows Server Experience in cloud technologies such as AWS Knowledge of database monitoring tools, such as OEM and Nagios Experience in scripting, such as Python Knowledge of database server clustering, failover, and disaster recovery Experience in database replication software, such as Data Guard, Replication Manager for PostgreSQL, and MongoDB ReplicaSets Experience in backup/recovery procedures and scripting More ❯

initiative in troubleshooting and problem-solving Provide hands-on expertise in RelativityOne (RelOne) for: Data processing and ingestion Review management and workspace setup Advanced analytics (de-duplication, email threading, clustering) Production of data with rigorous quality checks Key requirements to apply for this eDiscovery Project Manager position: Minimum 3+ years of eDiscovery project management experience, ideally within a law firm More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯

Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build-ready specifications, reusable components, and scalable insight tools Defining features and licensing models, onboarding new clients, and ensuring seamless … within B2B SaaS, data, analytics, or CRM environments Proven track record building data-led products using first-party and third-party data Experience developing model-based products such as clustering, segmentation, or next-best-action solutions Skilled at defining product features, licensing strategies, and client onboarding processes Strong commercial mindset with the ability to measure ROI, track adoption, and improve More ❯