General Information Req # 100016217 Career area: Artificial Intelligence Country/Region: United Kingdom State: Renfrewshire City: Renfrew Date: Monday, September 1, 2025 Additional Locations:  * United Kingdom Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 
To find out more visit www.lenovo.com and read about the latest news via our StoryHub. Description and Requirements

This role is open for the Edinburgh, Scotland location only. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy).

Responsible for shaping data architecture, infrastructure, and engineering strategy. Acts as the senior site leader for the Edinburgh hub.

Key Responsibilities

Define and implement the vision and roadmap for AI infrastructure and data engineering.Lead, mentor, and scale global engineering teams.Oversee large-scale distributed compute, storage, and streaming systems (e.g., Spark, Kafka, Flink, Iceberg/Delta Lakes).Collaborate with cross-functional teams (Data Science, ML Engineering, Product).Build and maintain pipelines, governance frameworks, dashboards, and analytics systems.Ensure reliability, scalability, compliance, and security across platforms.

Key Qualifications

12+ years in data engineering/infrastructure, with at least 5 years leading large teams.Deep expertise in distributed systems, model training infrastructure, and inference platforms.Strong experience with cloud platforms (AWS, GCP, Azure), MLOps/DevOps, and security.Excellent leadership, communication, and stakeholder management skills.

Preferred:

Advanced technical degree (MS/PhD).Strong knowledge of data systems (SQL/NoSQL, Spark, Kafka, Flink).Familiarity with AI-assisted data workflows and intelligent data interfaces.

Benefits:

Holiday purchase Private medical Income protectionAttractive pension scheme Life insuranceLenovo and Motorola products discounts Mortgage advice and support 

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations:  * United Kingdom * United Kingdom

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