5 of 5 Distributed Computing Jobs in the South East

Spark and Scala. Hands-on experience with Hadoop. Proficiency with data processing frameworks like Kafka and Spark. Experience with database engines such as Oracle, PostgreSQL, Teradata, Cassandra. Understanding of distributed computing technologies, approaches, and patterns. Nice to have Experience with Data Lakes, Data Warehousing, or analytics systems. We offer Opportunity to work on cutting-edge projects. Collaboration with More ❯

challenges. GBI is looking for a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and technical teams to design tailored … computational solutions, ensuring compliance with data management best practices. You'll recruit, mentor, and lead a multidisciplinary team while optimizing computing resources for scalability and efficiency. Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to support large-scale data processing, high-performance computing, and AI-driven analytics in … genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely with researchers and technical teams to design and implement computational solutions tailored to applications in synthetic biology, chemistry, and genomics. Recruit, mentor, and lead a multidisciplinary team, fostering a culture More ❯

in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills More ❯

using Python, Spark, and MCP-based infrastructure.Role Overview:As an Agentic AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. You will leverage your expertise in Python and Spark to process large-scale data, and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers … or similar distributed computing platforms is key.Key Responsibilities:Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows.Implement scalable data processing pipelines using Apache Spark and Python.Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution.Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures.Work closely … PySpark or Scala-based implementations).Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.Experience deploying to and managing workloads on MCP or distributed processing environments.Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.Ability to write clean, efficient, and well-documented code in a collaborative environment.Desirable:Experience with multi More ❯

of a Pure Storage solution Refine sales strategy and tactics, taking command of technical responsibilities Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces Take control of evaluations and benchmarks, system configurations, and system installations Build and … systems solutions to a combination of large enterprise accounts and data centers Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Superior knowledge of current … and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) UNIX OS, NFS file systems and UNIX distributed network environment Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers More ❯