in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), ParallelComputing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯
in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), ParallelComputing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯
in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), ParallelComputing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯
building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallelcomputing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/ More ❯
building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallelcomputing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/ More ❯
technologies. Leverage new SQL Server features such as Columnstore Indexes, In-Memory OLTP, Incremental statistics, Trace Flags, SQL CLR functions, window aggregate functions, and parallelcomputing algorithms to reduce the processing time of multi-billion row data sets. Contribute to the automation capabilities of the team. Implement techniques More ❯
and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for GPU-based computation. Strong knowledge of parallelcomputing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and … keen interest in optimizing systems for ML workloads. A passion for machine learning, AI, and innovative technology. Nice to Have: Experience with high-performance computing (HPC) and large-scale distributed systems. Knowledge of AI/ML libraries such as cuDNN, TensorRT, or other GPU-accelerated libraries. Familiarity with low More ❯
and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for GPU-based computation. Strong knowledge of parallelcomputing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and … keen interest in optimizing systems for ML workloads. A passion for machine learning, AI, and innovative technology. Nice to Have: Experience with high-performance computing (HPC) and large-scale distributed systems. Knowledge of AI/ML libraries such as cuDNN, TensorRT, or other GPU-accelerated libraries. Familiarity with low More ❯
seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallelcomputing tools, and experience with Git, Jira, and Confluence. A demonstrated interest in sustainability, systematic investing and a willingness to undertake self-study More ❯
Mathematics, Mechanical Engineering, Computer Science, etc 3 to 5 years' experience building technical or scientific software Bonus if you have understanding of: CFD, meshing, parallelcomputing, GPU's such as CUDA, and or CAD More ❯
Mathematics, Mechanical Engineering, Computer Science, etc 3 to 5 years' experience building technical or scientific software Bonus if you have understanding of: CFD, meshing, parallelcomputing, GPU's such as CUDA, and or CAD More ❯
