7 of 7 Remote Distributed Computing Jobs in England

and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data … synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Remote Type Hybrid Remote Skills to succeed in the More ❯

implementation decisions. â Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of … â Knowledge with geoscience software tools and formats: o SEG-Y, Landmark seismic BRICK, CMP, OpenVDS o DSG, Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL … programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering More ❯

data security best practices Strong problem-solving skills, and the ability to think critically and analytically High experience in documentation and data dictionaries Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Please can you send me More ❯

data security best practices Strong problem-solving skills, and the ability to think critically and analytically High experience in documentation and data dictionaries Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Please can you send me More ❯

Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow More ❯

Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow More ❯

solutions and manage pipelines that 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, and ETL processing (e.g., NiFi). Ensure More ❯