4 of 4 Remote/Hybrid Distributed Computing Jobs in the City of London

advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). ...

Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks (e.g., Spark) What’s on Offer Competitive compensation package, including equity Comprehensive benefits Hybrid working model Opportunity to build products ...

complex production issues and operate well in a fast‐paced, high‐pressure environment. A propensity to automate manual tasks, appreciation for large‐scale, and distributed computing systems will be necessary to succeed in the role. As part of a global support team, you will provide operational and technical … response. Proficiency in at least one scripting or programming language (e.g., Python, Shell Scripting, Java, C++) for automation, tooling, and operational tasks. Experience with distributed systems design, maintenance, and troubleshooting. Knowledge of financial markets, electronic trading workflows, and the FIX protocol. Demonstrated ability to debug, optimize, and troubleshoot code ...

fields. We are not a research lab, nor are we an AI agents company. We’re working at the intersection of LLMs and evolutionary computing to build self-improving systems. We’re looking for exceptionally talented engineers and researchers to join us on this epic quest Responsibilities Write SOTA … written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate choices about tiling, memory access patterns, warp-level primitives, and instruction scheduling ...