10 of 10 Distributed Computing Jobs in London

integration and debugging of Spark with Cosmos CDF. High technical proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Thorough understanding of Spark distributed computing concepts. High technical proficiency in PySpark and Spark Concepts. Experience with concurrency patterns, CLR, and scalable application design. Deep understanding of Azure ...

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 ...

skills Strong engineering experience with Microsoft Azure data services and Azure Databricks in large scale environments Deep knowledge of Delta Lake, medallion architecture, distributed compute and lakehouse data platforms Strong development skills in Python, PySpark and Spark SQL Experience implementing CI/CD for data platforms using Azure DevOps ...

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). ...

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 ...

level hands-on experience with Azure Data Services and Databricks in enterprise, highly regulated environments. Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns, distributed compute, data modelling, and performance optimisation. Strong programming skills in Python, PySpark, and Spark SQL, with experience implementing CI/CD pipelines (Azure DevOps ...

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 ...

organizational precision. In-depth knowledge of the quantitative tech stack , including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing. Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds. Expertise ...

increase. Engineers here regularly deal with issues such as market data ingestion, pricing model integration, portfolio aggregation, and the propagation of risk metrics across distributed systems used by the front office. The architecture is evolving toward a service-oriented model designed to support large scale distributed compute across … understanding of how risk is calculated across them • Deep knowledge of algorithms, memory management, multithreading and performance optimisation • Experience working with large scale distributed systems and high volume market or trade data • Familiarity with messaging technologies such as Kafka, AMPS or QPID • Python or bash for tooling and automation ...