Data and AI Architect

The role shapes standards and patterns for reliable, governable, production-ready machine learning systems and guides delivery teams in applying and validating them on live products.

• Define the machine learning development and deployment approach, assessing current implementation and available platform capabilities
• Define the end-to-end MLOps approach, covering data and feature preparation, experimentation, training, validation, model registration, deployment, monitoring, retraining, and rollback
• Define source control, CI/CD, environment separation, and operational ownership
• Define batch scoring and/or online serving, including how predictions reach downstream consumers such as Power BI, applications, APIs, and MCP
• Establish the delivery approach and onboarding Ways of Working using platform standards, layering conventions, and release processes, building on existing documentation
• Document interoperability and integration patterns between key data platforms
• Rationalise and publish platform documentation, improve site structure and consistency, and align it with existing guidance
• Translate approved architecture into implementation guidance, including standards, reference patterns, decision guides, and playbooks

• Proven experience in modern data platform architecture or technical consulting, with hands-on delivery in machine learning and AI environments
• Strong practical MLOps experience, including tracking, model registry, model serving and/or batch scoring, model monitoring, and retraining
• Experience with CI/CD and environment promotion for data and ML workloads
• Working knowledge of data engineering, architecture governance, data governance, and data quality
• Experience translating architecture into implementation standards, playbooks, and engineering guidance
• Будет плюсом: Experience with additional data platforms and tools, exposure to advanced operations for large language models or agent-based systems, background in regulated industries such as life sciences or internal IT audit

• Условий в вакансии нет