5 of 5 Distributed Computing Jobs in the South West

right now. Main Responsibilities Develop scalable systems and reusable components that serve as reference points for new team members. Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation. Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with … driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other ...

exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

improve quality and reliability of model/agent behavior.\n \n \nBuild and optimize large-scale data processing pipelines and feature workflows using distributed compute (e.g., Ray, Spark, or similar).\n \n \nDevelop AI/ML systems using coding assistants to improve engineering efficiency while maintaining code quality … nExperience with observability, evaluation/experimentation, and tracing platforms for AI/ML or LLM/agent systems.\n \n \nExperience with distributed data processing at scale (Ray, Spark, or similar).\n \n \nStrong software engineering skills (clean code, testing, CI/CD concepts, API/service development ...