4 of 4 Parallel Computing Jobs in London

building performant, scalable systems. Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/ ...

kdb+/q and Python.Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical modelling, statistics, regression, and probability theory.Bachelor’s or Master ...

Python . Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn , with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis, including mathematical modelling, statistics, regression, and probability theory. Bachelor's or Master ...

Excellence: Proven ability to diagnose, profile, and optimise complex systems using advanced performance analysis tools and methodologies. Demonstrated experience in tuning multi‐threaded and parallel computing environments, managing concurrency, and applying lock‐free designs for efficient resource utilisation. Familiarity with performance engineering technologies and low‐cost always ...