8 of 8 Distributed Computing Jobs in the South East

agents in-product - to join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning. Award-Winning Product : Recognised globally for innovation in AI. Remote-First Culture : Work from anywhere in the UK, with flexible hours and full autonomy … to deploy ML models. Use Gen AI tools to accelerate development and improve code quality. Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems More ❯

an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions Who You Are Proven background working in organizations that have adopted agile and product management principles in a globally distributed team set up Led/actively participated, setting architecture direction for products with focus on observability, security, and scalability Expertise in building Cloud Native applications in .NET/Java … Tech Stack leveraging microservices based architecture Good understanding of CI/CD principles focused on test automation, Devops culture and inclination to adopt Open-Source tech Good understanding of Distributed systems, i.e., Distributed computing and exposure to headfirst engineering, design thinking A strong passion for adopting and introducing standard, automated and repeatable processes to improve operational efficiencies More ❯

working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis.* Familiarity with Azure Databricks, Synapse, or distributed computing tools.* Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal development More ❯

edge technology on the market right now. Main Responsibilities Develop scalable systems and reusable components that serve as reference points for new team members. Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation. Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay. Utilise AI-powered … engineering principles such as test-driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp of algorithmic thinking and performance More ❯

RAG). Familiarity with feature stores, vector databases, or embedding pipelines. Understanding of data quality, lineage, and governance best practices. Exposure to cloud platforms (AWS, Azure, or GCP) and distributed compute environments. More ❯

into stories and epics. Broad knowledge of IT including Windows/Linux and general networking Good understanding of networking (TCP and UDP) and multicast data delivery Good understanding of distributed server architectures running on Linux Highly Desirable Skills Understanding of ultra-low latency distributed computing environments. Familiarity with FIX trading protocol and market data systems. Previous experience More ❯

of IT for IT tools such as Atlassian suite, Service now etc. an advantag Experience in enterprise grade software deployments and operation Working understanding of scalable agile SDLCs and distributed computing setup IT related 3rd level qualification (exceptions may be made where relevant experience compensates, and in-depth experience is demonstrated) About Primark At Primark, people matter. They 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 ❯