Mark mc Naught
Director of Ai Infrastructure and Engineering @Lenovo
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WORK HISTORY
Director of Ai Infrastructure and Engineering @Lenovo
Edinburgh, GB
Leading the global AI Infrastructure and MLOps strategy for the Lenovo AI Technology Center (LATC).Based in our Edinburgh hub, I am responsible for:• AI Infrastructure & MLOps: Architecting scalable, distributed systems to power the next generation of Lenovo’s AI initiatives.• Global Technical Leadership: Driving engineering excellence across the LATC ecosystem, from hardware-level optimisation to Agentic AI deployment.• Site Growth: Collaborating with site leadership to scale our engineering presence and technical capabilities in Edinburgh.
EDUCATION
Stellenbosch University
Master's Degree, Industrial Engineering
Stellenbosch University
Bachelor of Engineering (BEng), Mechanical Engineering
SKILLS
ABOUT MARK MC NAUGHT
As an accomplished AI leader and technical visionary, I spearhead the strategic evolution of AI infrastructure and data engineering. My focus is on anticipating future data and AI needs, translating complex business challenges into robust, large-scale distributed systems that power the next generation of hybrid and Agentic AI initiatives.With a proven track record of scaling high-performing teams, I thrive on building cultures of technical excellence and operational discipline. I combine deep technical credibility in MLOps, cloud architecture (AWS, GCP, Azure), and distributed systems (Spark, Kafka, Flink) with a strong leadership presence to inspire teams and deliver transformative platforms.From founding a Generative AI product startup to leading cross-franchise AI adoption in a major financial institution, my passion lies at the intersection of cutting-edge AI and real-world impact. I am dedicated to propelling people and organisations forward, leveraging technology to solve meaningful problems.Specialties:• AI/ML Strategy: Agentic AI, Generative AI (RAG, LangChain), Hybrid AI Vision, MLOps• AI Infrastructure: Large-Scale Distributed Systems (Spark, Kafka), GPU Clusters, Inference Platforms• Cloud Platforms: AWS (Certified ML Specialty), Google Cloud (Certified Architect & Data Engineer), Azure• Leadership: Scaling Global Teams, Strategic Enablement, Talent Development, Board-Level Experience• Data Engineering & Governance: Data Pipelines, Data Lakes, GDPR, SOC2 Compliance
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