4 Permanent Parallel Computing Jobs in London

strategies, utilizing advanced mathematical models and machine learning techniques. Optimizing and fine-tuning existing Python codebase for maximum efficiency and scalability, employing techniques like parallel computing, asynchronous programming, and memory management. Spearheading the adoption of best practices and coding standards within the Python development team, ensuring code quality … with financial markets and trading concepts, including equities, derivatives, options, and futures, coupled with a strong quantitative background and analytical mindset. Experience with cloud computing platforms such as AWS, Azure, or GCP, and containerization technologies like Docker and Kubernetes. The ideal candidate will be a Python luminary with a more »

Algorithms, Algorithmic Trading, Electronic Trading, E-Trading, Systematic Trading, High-Frequency Trading, HFT, High Frequency, Startup, Scaleup, Prop Trading, Execution, Algo Trading, Quant Trading, Parallel Computing, Optimisations, Low-Latency, Algorithms, Distributed Systems, Market Data, Connectivity, Trading Engine, Systems Design, Hardware, Kernel, Sockets, Networking, TCP/UDP, Systems Programming more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

code/engineering debt. Key Skills: Extensive experience with Machine Learning and Spark/PySpark Recommendation systems, pattern recognition, data mining, artificial intelligence Modern Parallel Computing; distributed clusters, multicore servers, GPU’s Experience with developing machine learning models at scale Developing and debugging in C/C++ and more »