Data & ML Architect

Our client is a well-established recruitment and talent solutions provider, partnering with organisations across financial services, professional services, and the commerce & industry sectors since 2005.

They are strongly committed to promoting equal opportunities, with diversity, inclusion, and fairness forming a core part of both their service delivery to clients and their internal workplace culture.

Our client also places a strong emphasis on candidate support, guiding professionals throughout every stage of the recruitment journey. Their experienced consultants are dedicated to helping individuals secure roles that align with their skills, aspirations, and long-term career goals.

Responsibilities:

Strategic Leadership:

• Set the vision and direction for data and AI architecture for project and client.
• Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.
• Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.

Architectural Excellence:

• Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.
• Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.
• Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.

AI & ML Leadership:

• Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.
• Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.
• Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.
• Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.

Technical Leadership:

• Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.
• Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.
• Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).

Stakeholder Engagement:

• Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.
• Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.

Innovation & Emerging Technologies:

• Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.

Requirements:

• Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.
• Experience in both Agile and Waterfall project environments.
• Strong stakeholder management and communication skills.
• Security and compliance awareness.
• Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).
• Experience mentoring or managing technical teams.