utilising AI models, Generative AI, LLMs) And experience of the following: • Cloud environments (e.g GCP, Azure) • Deployment and monitoring of compute intensive resources (i.e. “MLOps”) • Information Security • Integration Patterns • Speaking on behalf of technical teams and facilitating relationships with indirect stakeholders • Recommending decisions and describing the reasoning behind these • The more »
application. These include ingesting and understanding new data sources, evolving our data approach (e.g., to a fully fledged data fabric), implementing containers to streamline MLOps and exploring how we can sensibly and safely utilise artificial intelligence (AI) to turbo charge our work (e.g., smart data quality monitoring, meta data curation … desirable Utilising AI within data engineering to drive performance. Knowledge of implementing, managing and utilising graph databases (e.g., using technologies such as Neo4j). MLOps experience including familiarity with Docker and Kubernetes. Full data engineering cycle knowledge (tools and skills) for stream data. Benefits Competitive salary and rewards package including more »
Cloud Platform Engineer (Azure) – Manchester Are you a talented Cloud Platform Engineer looking for an exciting opportunity to make an impact? Our client, a leading player in the tech industry, is seeking a skilled individual like you to join their more »
