7 of 7 Distributed Computing Jobs in Central London

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

Work With Azure Data Factory, Data Lake, Key Vault, Azure Functions Databricks, Delta Lake, Unity Catalog, PySpark, Spark SQL Medallion architecture, Lakehouse patterns, distributed compute CI/CD pipelines using Azure DevOps Cross‐functional teams in underwriting, actuarial, delegated authority, exposure management, reinsurance, finance and regulatory reporting Architects, SMEs ...

cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads. Key Responsibilities Design and maintain scalable cloud infrastructure for distributed computing and ML workloads Build and optimise CI/CD pipelines to enable reliable deployments and automated testing Manage containerised environments using Docker … Jenkins) Familiarity with monitoring tools such as Prometheus or Grafana Scripting experience (Python, Bash, or similar) Experience supporting ML, GPU, or high-performance computing environments is a plus What’s on Offer Competitive salary + equity Flexible hybrid working Generous holiday allowance Learning & development budget Pension scheme and additional ...

build and manage robust data pipelines that convert raw, diverse data sources (batch, streaming, real-time and unstructured) into reliable, analysis-ready datasets, using distributed computing techniques to process data at scale. Responsibilities: Design and build data ingestion pipelines and orchestration tooling. Develop database schemas and data models. ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

C++, SQL, C#, and VBA. Python is also desirable. Solid foundation in numerical methods, including Monte Carlo simulations and optimization algorithms. Experience with distributed computing & inter-process communication. Proficiency in multi-threaded programming. Familiarity with Microsoft Office, VC++, VBA, SQL, Access, Oracle. Knowledge of web technologies such ...

supporting Counterparty Credit Risk (CCR), trade processing, analytics, and regulatory reporting. The ideal candidate has deep hands‐on expertise in Spark, Scala, Python, and distributed data systems, with strong domain knowledge of financial and risk data. Hybrid working: The places that you work from day to day will vary … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Design and build distributed batch and real‐time data pipelines using Spark (Core/SQL/Streaming) in Scala and Python. Architect scalable ingestion, transformation, and enrichment frameworks ...