7 of 7 Remote/Hybrid Distributed Computing Jobs in England

MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time‐series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability ...

expertise in Microsoft Azure cloud services - ADF, ADLS, Synapse, Purview. Databricks - Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large-scale distributed computing and performance tuning. Microsoft Fabric - OneLake and DirectLake integration. Azure Synapse Analytics for enterprise-scale data warehousing. Infrastructure-as-Code (Terraform ...

scalable data platforms and integrating Generative AI capabilities into enterprise systems. Key Responsibilities Design, build and maintain scalable data pipelines using PySpark, Python and distributed computing frameworks Architect and optimise AWS-based data and AI infrastructure for secure, high-performance data processing Develop, fine-tune, benchmark and evaluate … GenAI solutions into production environments Ensure data quality, governance and operational reliability across systems Essential Skills & Experience Strong experience with PySpark and large-scale distributed data processing (ETL/ELT pipelines) Advanced SQL expertise, including schema design (star/snowflake), indexing and optimisation techniques Proven experience implementing ...

operational datasets. Proven experience delivering complex end-to-end data platforms in Azure or Fabric environments. Strong understanding of medallion architectures, Delta Lake, distributed compute and modern data engineering principles. Experience defining data engineering standards, governance and security frameworks. Ability to engage confidently with business, product and technical stakeholders. ...

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 ...