251 to 262 of 262 Distributed Computing Jobs in the UK

patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. … training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied ...

customers.Key responsibilitiesDesign, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve.Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows.Support training at scale across large GPU clusters and cloud-based infrastructure.Work closely with ML teams to understand user … internal or external users.Strong understanding of testing, observability, maintainability, and engineering best practices.Experience working with cloud environments, ideally Azure.Experience with concurrent, parallel, or distributed computing.Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions.Desirable ...

responsibilities Design, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve. Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows. Support training at scale across large GPU clusters and cloud-based infrastructure. Work closely with ML teams … external users.Strong understanding of testing, observability, maintainability, and engineering best practices. Experience working with cloud environments, ideally Azure. Experience with concurrent, parallel, or distributed computing. Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Ability to work closely with technical stakeholders to refine requirements and deliver practical ...

adjustment calculations and risk analysisImplement independent price verification and valuation adjustment workflows across asset classesDevelop consensus pricing solutions integrating with external market data providersConfigure distributed compute, job scheduling, analytics integrations, and cloud storage pipelinesWrite and maintain comprehensive unit, baseline, and parameterized testsInvestigate and remediate security vulnerabilities; support audit remediation … prompt engineering, including LLM-based developer agents and workflow orchestrationPreferred QualificationsBackground in financial services, derivatives pricing, market data, or valuation conceptsExperience with distributed compute or job scheduling systemsFamiliarity with Databricks, Delta Lake, or similar analytics platformsKnowledge of reactive or event-driven programmingJ.P. Morgan is a global leader in financial ...

risk analysis Implement independent price verification and valuation adjustment workflows across asset classes Develop consensus pricing solutions integrating with external market data providers Configure distributed compute, job scheduling, analytics integrations and cloud storage pipelines Write and maintain comprehensive unit, baseline and parameterized tests Investigate and remediate security vulnerabilities; support … engineering, including LLM-based developer agents and workflow orchestration Preferred Qualifications Background in financial services, derivatives pricing, market data or valuation concepts Experience with distributed compute or job scheduling systems Familiarity with Databricks, Delta Lake or similar analytics platforms Knowledge of reactive or event-driven programming ABOUT US J.P. ...

with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. … competitive benefits package.CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome ...

responsibilities. Key Responsibilities Help design and build Aalyria's centralized observability platform, integrating and scaling tools for metrics (e.g. Prometheus), logging (e.g. Loki), and distributed tracing (e.g. Tempo/OpenTelemetry). Define, implement, and manage a robust framework of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error … blameless post-mortems. Required Qualifications 4+ years of experience in an SRE or platform engineering role, with a focus on observability for large-scale, distributed compute or network systems. Deep, hands-on expertise building, scaling, and managing observability platforms (e.g., Prometheus, Grafana, Loki/ELK, OpenTelemetry, Tempo/Jaeger ...

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas … C++ testbenches and working in Linux and Windows environment Experienced with Verilog, System Verilog, C, and C++ CPU pipeline knowledge Automating workflows in a distributed compute environment Exposure to simulation profile, efficiency improvement, acceleration, HLS tools/process Strong background in the C++ language, preferably on Linux with exposure ...

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas … C++ testbenches and working in Linux and Windows environments Experienced with Verilog, System Verilog, C, and C++ CPU pipeline knowledge Automating workflows in a distributed compute environment. Exposure to simulation profile, efficiency improvement, acceleration, HLS tools/process Strong background in the C++ language, preferably on Linux with exposure ...

processes to ingest and transform vast quantities of data, and UIs to visualize and action that data quickly. Responsibilities:Work on our in-house distributed-compute framework designed for execution on a large scale within HRT’s compute cluster. This framework serves various teams, with our algo teams being … competitive benefits package.CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome ...

Reference: 328031I’m currently working with an early-stage infrastructure company building high-performance distributed systems, with Rust at the core of the stack, who are looking for a Head of Engineering to lead the design, build, and scale of a genuinely differentiated systems architecture.This is a pivotal role … right stage and shape both the technology and engineering culture of a high-performance infrastructure platform with significant upside. Responsibilities Own engineering across distributed systems, backend infrastructure, storage systems, APIs, and real-time data pipelines.Lead development of high-performance Rust-based services and distributed compute components.Drive performance optimisation ...

recommend data centre/colocation partners capable of supporting high-density GPU racks Define networking topology (InfiniBand/Ethernet fabric) to optimise for distributed training and inference workloads Liaise with hardware vendors, OEMs and data centre providers to validate specifications and negotiate technical terms Produce technical documentation and board … design, and data centre infrastructure Methodology/Protocols: Strong grasp of InfiniBand/RDMA networking, NVLink/NVSwitch topologies, and cluster interconnect design for distributed compute workloads Soft Skills: Confident operating at boardroom level, able to translate deep technical detail into commercial costing narratives; comfortable owning ambiguous, high-stakes ...