18 of 18 Remote/Hybrid Clustering Jobs in London

policies, profiles, image management, application publishing, monitoring, and troubleshooting. Windows Server administration, Active Directory, Group Policy, DNS, DHCP, file and print services, patching, clustering, certificate services, and PowerShell. Microsoft 365 services, including Exchange Online, Entra ID, identity synchronisation, conditional access, multifactor authentication, role‐based access control, and security and compliance ...

experience. Experience with at least one NoSQL/distributed database Cassandra, MongoDB or Couchbase. Strong SQL, performance tuning and troubleshooting skills. Experience with replication, clustering and high availability. Strong automation/scripting skills Python, Shell, Ansible or Terraform . Experience with Infrastructure as Code, CI/CD and Git . ...

Ansible) Understanding of API documentation, implementation and supporting customers using these Expert knowledge of HTTP (including RESTful services) Best practice understanding of Hardware, Virtualization, Clustering, High Availability, Disaster Recovery and Security Basic IP networking skills It is also desirable for to be experienced in or familiar with the following (these ...

pixel PHI, and the standard Python tooling (pydicom, SimpleITK, dcm2niix, DCMTK). Deep, practical BigQuery and/or SQL: schema design, partitioning and clustering, query and cost optimisation on large tables. Agentic engineering; using coding agents as a day-to-day part of how you build and building agent-driven ...

Experience with cloud platforms, ideally Azure, or otherwise AWS or GCP Experience with MongoDB or other NoSQL databases Experience with unsupervised methods such as clustering or hidden Markov models Experience with ML lifecycle tooling such as MLflow Experience with anomaly detection A background around boats, cars, bikes or planes ...

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 ...

internal teams Technical skills and experience should include SQL, including complex queries, window functions, and performance optimisation. Google BigQuery, including table design, partitioning, clustering, and query performance tuning Dataform or equivalent transformation frameworks (dbt, etc.), writing SQLX, managing dependencies, and maintaining modular, well‐tested transformation logic Solid understanding ...

Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host ...

delegating appropriately What you’ll bring Essential criteria: Strong hands-on experience in advanced analytics and machine learning, including forecasting, predictive modelling, optimisation and clustering Proven track record of building and deploying large-scale AI/ML solutions in cloud environments Ability to quickly understand business objectives, solve complex problems ...

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. ...

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 ...

infrastructure, automation, and deployments. You will define standards and reference architectures, lead complex initiatives across Windows/Linux platforms (with deep expertise in Windows clustering), and own end-to-end reliability—from Infrastructure as Code to release engineering and observability. This largely remote role requires occasional visits to Bristol ...

strategy, and coach a growing group of data scientists. You will write code, critique methods, and ensure model governance and data quality across attribution, clustering and heuristics. The role blends technical leadership with strategic direction and cross-functional collaboration. Based in the UK with hybrid work, you will partner 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 ...

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 ...

rather than output, and make the method calls yourself when they matter. Own the team's existing commitments. The team's current work on clustering, attribution, heuristics and labelling continues to serve the platform. You own its reliability and its trade offs, and you decide what to stop. Work across … building a large dataset or collection from nothing, including the unglamorous parts: schema decisions, quality checks, and maintenance. Blockchain or on chain data experience: clustering, attribution, heuristics, anomaly detection, mempool analysis, or research into privacy preserving systems. Experience in payments, fraud or risk data science, where the cost ...

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 Benefits Competitive salary and equity in a fast‐growing start‐up We serve lunch every weekday, plus a variety ...

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 ...