11 of 11 Distributed Computing Jobs in Berkshire

passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab … . Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical ...

quality datasets for modell ing.Proficient in programming languages such as Python, R, and SQL for data analysis and model developm ent.Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Sp ark.Deep understanding of supply chain operations … iquesExcellent communication s kills Desirable Qualific ationsMaster's or PhD level degree5+ years of work experience in a data scienc e roleProficient with cloud computing environments, Kubernetes , etc.Familiarity with Data Science software & platforms (e.g. Datab ricks)Software development expe rienceResearch and new algorithm development expe rience ...

Degree in Computer Science, Data Science, or related discipline (Master's or PhD preferred). Preferred Qualifications: Experience with large-scale data systems and distributed computing. Familiarity with compliance frameworks and data governance in regulated industries. Excellent communication and stakeholder ...

bring Silicon Valley solutions to Wall Street's door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data ...

infrastructure-as-code, observability, CI/CD, and scalable deployment practices. Enable fast experimentation for diffusion transformer training (PyTorch/JAX, DDP, mixed precision, distributed compute). Design and scale our GPU training cluster Work directly with the founding team to set technical direction and engineering culture. You Strong ...

.NET Core backend services, APIs, and libraries. Implement modular application architectures to support scalability and maintainability. Integrate with cloud platforms (AWS, Azure) for distributed computing and storage. Technical Leadership & Collaboration Lead design reviews, code reviews, and architectural discussions to ensure technical excellence. Collaborate with product managers, designers … other AI-powered developer tools and workflows. Familiarity with modern cross-platform frameworks like .NET MAUI, Blazor, or Avalonia. Understanding of cloud-native design, distributed systems, and DevOps best practices. About Definely At Definely, we're on a mission to simplify the way legal professionals access and understand complex ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes … take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software ...

orchestration, and observability across thousands of GPUs. Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale. Build tools and automation for distributed training, inference, monitoring, and experiment management. Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference. … hardware, networking, and software to accelerate the path from idea to model. About You Deep systems or infrastructure engineering experience in high-performance or distributed computing environments. Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang ...

work. Ability to learn and use new technologies. Proven hands-on CyberArk experience Background in networking, data security and cloud-based applications. Experience with distributed computing platforms for high-scale systems. Experience with Azure services and eco-system. Experience with Microsoft and Linux-based environments. Experience with continuous ...

partner closely with the VP of Engineering to define and deliver the long-term architectural roadmap — evolving our system into a fully distributed, AI-agentic platform designed to support the next wave of intelligent applications. The Opportunity: You'll take a key role in driving architectural transformation, influencing everything … ensuring technical excellence across the team. You'll blend strategic thinking with practical, hands-on development -setting standards for reliability, performance, and modern distributed design. What You'll Do: Architectural Leadership Lead the migration from a monolithic to distributed architecture to enable scalability and modularity. Design and implement ...

partner closely with the VP of Engineering to define and deliver the long-term architectural roadmap — evolving our system into a fully distributed, AI-agentic platform designed to support the next wave of intelligent applications. The Opportunity: You'll take a key role in driving architectural transformation, influencing everything … ensuring technical excellence across the team. You'll blend strategic thinking with practical, hands-on development -setting standards for reliability, performance, and modern distributed design. What You'll Do: Architectural Leadership Lead the migration from a monolithic to distributed architecture to enable scalability and modularity. Design and implement ...