Director, AI Operations (Edinburgh)

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

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 protection
• Attractive pension scheme
• Life insurance
• Lenovo 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

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.