×
Register Here to Apply for Jobs or Post Jobs. X

Sr. AI Infrastructure Engineer

Job in Renfrew, Renfrewshire, PA4, Scotland, UK
Listing for: Lenovo
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 GBP Yearly GBP 120000.00 160000.00 YEAR
Job Description & How to Apply Below

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 $83 billion revenue global technology powerhouse, ranked #153 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).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit  , and read about the latest news via our Story Hub .

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).

The Lenovo AI Technology Center (LATC)—Lenovo’s global AI Center of Excellence is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world’s leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (Think Pad, Yoga), PCs, workstations, servers, and services/solutions.

This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting-edge foundation models and to enable flexible, hybrid-cloud, and agentic computing across our full product portfolio. To this end, we are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources.

This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us.

Summary

Lenovo is seeking a senior technical leader to guide the strategy, architecture, and delivery of our next generation Hybrid AI Platform. In this role, you will provide leadership across AI infrastructure, MLOps, cloud native platform engineering, and operational excellence
-setting direction for teams that build and run production grade AI/ML platforms on Kubernetes. You will drive the vision for scalable, secure, and reliable AI systems while partnering closely with engineering, product, and executive stakeholders. If you are passionate about leading high impact AI platform initiatives, mentoring engineering talent, and shaping enterprise wide Hybrid AI capabilities, we invite you to join us.

Responsibilities

AI Platform Engineering & Operations
  • Provide technical leadership and architectural direction for Kubernetes/Open Shift based AI/ML platform design, scalability strategy, security posture, and operational standards.
  • Oversee platform roadmap, ensuring alignment with Lenovo’s broader Hybrid AI strategy and enterprise architecture principles.
  • Lead engineering teams in implementing Git Ops driven, cloud native platform automation using ArgoCD and Helm.
  • Set standards for Linux systems management, platform hardening, and operational reliability across all AI infrastructure.
MLOps & Model Lifecycle Management
  • Define and evolve the enterprise MLOps architecture, enabling reproducible, automated, and governed AI model workflows.
  • Lead teams in building and optimizing ML pipelines using Kubeflow Pipelines, Tekton, and Python SDKs.
  • Architect scalable, production ready model serving…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary