20 of 20 Clustering Jobs in London

scripting skills, including creating, testing and maintaining automation. Experience supporting hybrid infrastructure across on-premises and cloud environments. Knowledge of high availability, disaster recovery, clustering, server migrations, upgrades and security patching. Experience delivering infrastructure projects and managing operational priorities. Understanding of IT service management principles and change control processes. Strong ...

Expert hands-on experience with Sybase ASE and Sybase IQ Strong Sybase Replication Server experience HA/DR, Warm Standby, MSA and Failover Clustering Performance tuning, query optimisation and database troubleshooting Backup, recovery, dump/load and restore Large-scale Sybase IQ/Data Warehouse environments Linux/Unix administration ...

Security). Experience with Apache Tomcat deployment and tuning. Proficiency with Maven/Nexus and GitLab CI/CD. Understanding of distributed systems, clustering, and failover. Strong knowledge of web security standards and OWASP Top 10. Optional: Exposure to front-end tech, Python scripting, or AI/ML APIs. 8+ ...

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 ...

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. ...

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 ...

control, testing, release discipline and CI/CD practices Understanding of temporal data modelling, schema design, schema evolution and data compatibility Understanding of partitioning, clustering and other techniques for improving data performance at scale Ability to choose between normalised and denormalised models and between natural and surrogate keys Practical approach ...

code generation, refactoring, and performance tuning. Technical Strategy & Database Optimization: Promote technical direction and engineering best practices across teams for Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. ...

keeping automated suites stable rather than letting them rot into a graveyard of quarantined tests. Experience introducing AI-assisted testing practices (test generation, failure clustering, coverage analytics) with sensible controls around review and trust. Strong TypeScript and JavaScript - not just writing test scripts, but building helpers, tooling, and debugging into ...

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 ...

comprehensive data inventory and classification framework, mapping datasets to agreed retention and governance policies. Restructure BigQuery environments to support enforceable retention through partitioning, clustering, security controls, and automated expiration policies. Establish a practical DPIA process, including templates, workflows, and completed assessments for high-risk data flows. Deliver detailed runbooks, operating ...

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. ...

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 ...

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 ...

Senior Cloud Engineer We are currently recruiting for a Senior Cloud Engineer to join a leading higher education organisation on an initial 6-month contract. Rate: £465 per day Umbrella Duration: 6 months Start: ASAP ...

Senior Cloud Engineer We are currently recruiting for a Senior Cloud Engineer to join a leading higher education organisation on an initial 6-month contract. Rate: £465 per day Umbrella Duration: 6 months Start: ASAP ...

Essential Skills Splunk Core Certified Consultant (or equivalent experience). Extensive experience administering and supporting large-scale Splunk Enterprise environments. Deep expertise in: Indexer Clustering Search Head Clustering SmartStore Multi-terabyte daily data ingestion Performance tuning and operational resilience Capacity planning and platform lifecycle management Strong experience operating and supporting ...

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 At Fin, we want to give people what they need to do the best work of their careers. Our benefits ...

resolution Encode triage logic into automation pipelines so future instances are classified and escalated without manual intervention Apply ML and AI techniques — crash clustering, anomaly detection, pattern recognition — to build smarter triage pipelines Build debug tooling, scripts, and CI/CD integrations that surface OS-level signals and validate platform … level development Exposure to automation frameworks, CI/CD pipelines, or scalable test systems Experience applying ML or AI techniques to systems problems — crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization Familiarity with LLMs or generative AI tooling in an engineering context — prompt engineering, RAG pipelines ...