7 of 7 Distributed Computing Jobs in Central London

high-scale technology and quantitative finance. This is an opportunity to lead the design of advanced pricing and risk platforms, including a high-performance distributed computing system used for real-time market data and trading support. As a Senior C# Software Engineer , you will collaborate directly with Trading … robust architecture and continuous innovation. Your Impact Architectural Strategy: Lead the design of technology solutions that form the bedrock of the firm’s analytics. Distributed Systems: Build and optimize scalable, high-performance systems using modern C# .NET frameworks. Best Practices: Define and uphold software engineering standards to ensure consistency ...

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 ...

Role GenAI Data Engineer Your responsibilities: Design and maintain scalable data pipelines using PySpark, Python, and distributed computing frameworks to support high‐volume data processing. Architect and optimize AWS-based data and AI infrastructure, ensuring secure, performant, and cost‐efficient ingestion, transformation, and storage. Develop, finetune, benchmark … into production systems and ensure high-quality data, governance, and operational reliability Your Profile Essential skills/knowledge/experience: Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing ...

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 ...

large-scale compute, data centre capacity, and power solutions for advanced machine learning workloads. Platforms support leading research and industry teams requiring high-performance computing at significant scale. Fast-paced environment with emphasis on ownership, execution speed, and quality. Culture centred on pragmatic problem-solving, cross-functional collaboration … full lifecycle responsibility. Role Overview: Position operating across software, infrastructure, and operations to ensure reliability, scalability, and performance of a globally distributed compute platform. Close collaboration with networking, platform engineering, and physical infrastructure teams to design and operate systems supporting high-demand computational workloads. Hands-on engineering role requiring ...