5 of 5 Distributed Computing Jobs in Central London

advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). ...

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. ...

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 ...