9 of 9 Remote/Hybrid Distributed Computing Jobs in London

systems, driving technical excellence in data engineering and cloud-native development. The role requires strong hands-on expertise in Azure Cosmos DB, Spark, and distributed computing concepts. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB (SQL API & Mongo API) Design and optimise NoSQL data models Implement … experience with Azure Cosmos DB Query optimisation and throughput management expertise Experience with Cosmos DB Change Data Feed (CDF) Strong PySpark and Spark distributed computing knowledge Experience integrating Spark with Cosmos CDF High proficiency with Cosmos DB SDKs (.NET, Java, Python, Node.js) Deep understanding of partitioning, indexing ...

workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically … rather than "scripts." You anticipate edge cases, data drift, and system failures before they happen. Problem Solving: A proven track record of troubleshooting complex distributed systems and optimizing resource-intensive algorithms. What We Value Reliability: You believe that a model is only as good as its uptime ...

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 ...

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 ...

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 ...

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 ...

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 ...

Strong SQL skills and experience with query optimisation. Experience with AWS cost optimisation for large scale data workloads. Understanding of data consistency models and distributed system behaviours. Preferred Qualifications AWS Certified Solutions Architect or AWS Certified Data Analytics. Knowledge of IaC (Terraform or CloudFormation). Experience with Apache Spark … distributed compute environments. Familiarity with data quality monitoring and governance frameworks. ...