Nice to Have: Experience with Snowflake, Databricks, and GCP or Azure. Knowledge of streaming data architectures. Data security and compliance implementation. Machine Learning Operations (MLOps) experience. more »
overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI initiatives. Key Skills Required: Solid understanding as a Security Architect, with more »
My client, a Software Development Consultancy, are looking for an Azure Machine Learning Engineer with Active SC Clearance for an initial 6 month engagement. Key Skills Required: Excellent knowledge of Azure technologies for Machine Learning and AI Solid understanding of more »
knowledge; we're not just putting bodies on seats. The Project: We are seeking an ML Ops Engineer to join a newly formed centralised MLOps team to build and support tools and setup automation that improve the efficiency and productivity of Data Scientists. The ML Ops Engineer will work closely … to date with the latest standards (security, best practices) in IT Experience working with CI/CD pipelines and Agile frameworks, preferably with the MLOps context. Unit Testing, Integration Testing, E2E Testing, ETL/ELT Experience or at least knowledge of the following: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain more »
