22 of 22 Clustering Jobs in 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 ❯

with Linux (RHEL) and/or Windows Server Exposure to cloud platforms (e.g., AWS) Scripting skills (Python, Bash) Knowledge of monitoring tools (OEM, Nagios) and replication solutions Familiarity with clustering, backup, and disaster recovery methods Qualifications: Degree in a relevant field or equivalent experience Proven infrastructure and Oracle DBA expertise Strong problem-solving, automation, and continuous learning mindset Ideally you 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 ❯

and communication skills — confident working cross-functionally and enabling others to use and trust the data Desirable: Experience with Lakehouse patterns; setting standards, quality checks etc. Parquet partitioning and clustering to optimise for query speed and cost GitHub Actions REST APIs ML Ops tooling What you can expect 25 days holiday excluding public holidays increasing after 2 years’ service Participation More ❯

Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. More ❯

Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. More ❯

Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. More ❯

Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/impact ranking, de‐noising, suppression/cool‐downs, routing, and feedback loops. More ❯

end customer. Key Requirements: Proven experience as a Database Administrator (PostgreSQL DBA) Must hold Active Security Clearance (SC) Core development/maintenance and performance optimisation (sharding, partitions) Experience with clustering and extensions such as Pgvector PostGIS and AGE Data migration experience from existing database(s) to Postgres database(s) Ability to recreate existing data models and develop new data models More ❯

profile end customer.Key Requirements: Proven experience as a Database Administrator (PostgreSQL DBA) Must hold Active Security Clearance (SC) Core development/maintenance and performance optimisation (sharding, partitions) Experience with clustering and extensions such as Pgvector PostGIS and AGE Data migration experience from existing database(s) to Postgres database(s) Ability to recreate existing data models and develop new data models 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 ❯

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 ❯

and manages the following technical 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; and a variety of line of business applications. What you'll be doing Providing line management for the systems engineering … can be provided) Azure AD (including conditional access, SSO, application registration, provisioning), M365 & Intune Windows Server/Windows client Windows Certificate Services Active Directory (and associated technologies), Exchange Server, clustering and file servers SMTP; HPE hardware Network routing/802.1x/firewalling Cisco Call Manager Monitoring and alerting techniques More ❯

operates and grows. You'll have real influence over strategy, delivery models and how the business scales. Projects will span: Digital marketing analytics incl. MMM, attribution, incrementality testing LTV, Clustering, Propensity modelling Customer enrichment, clustering and personalisation Dashboards, reporting and ongoing insight generation Building new ways of working, project scoping and delivery Leading client relationships and contributing to outbound strategy More ❯

beta in weeks after a 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? Play an active role … skills Track record shipping ML 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 We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to 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 ❯

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 ❯