2 of 2 Distributed Computing Jobs in Kent

machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/ ...

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 … 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 ...