Job Description

General Information



Req #



WD00088677

Career area:

Hardware Engineering

Country/Region:

United Kingdom

State:

Renfrewshire

City:

Renfrew

Date:

Tuesday, September 23, 2025

Working time:

Full-time

Additional Locations :

United Kingdom - Renfrewshire - Renfrew United Kingdom - Renfrewshire - Renfrew

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).

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 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).



Lenovo is seeking a highly skilled AI Infrastructure Engineer / AI Operations Engineer to join our growing team. This critical role will focus on designing, building, and maintaining the infrastructure and tools necessary for efficient AI model development, deployment, and operation. Your expertise will enable our data scientists and engineers to focus on high-priority tasks while ensuring seamless operation of AI models in production. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!

Responsibilities :

AI Infrastructure Design and Implementation:

Design, build, and maintain scalable and efficient AI infrastructure, including compute resources, storage solutions, and networking configurations.

AI Model Deployment and Management:

Develop and implement processes for deploying, monitoring, and managing AI models in production environments.

Automation and Tooling:

Create and maintain automation scripts and tools for AI model training, testing, evaluation, and deployment in a continuous integration / continuous delivery (CI/CD) pipeline.

Collaboration and Support:

Work closely with data scientists, engineers, and other stakeholders to ensure smooth operation of AI systems and provide support as needed.

Performance Optimization:

Continuously monitor and optimize AI infrastructure and models for performance, scalability, utilization, and reliability.

Security and Compliance:

Ensure AI infrastructure and models comply with relevant security and regulatory requirements.

Qualifications :

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

8+ years of experience in software engineering, DevOps, or a related field.

Strong background in computer systems, distributed systems, and cloud computing.

Proficient in Linux system administration, including package management, user/group management, file system navigation, shell scripting (e.g. Bash), and system configuration (e.g., systemd, networking).

Proficiency in programming languages such as Python, Java, or C++.

Experience with AI-specific infrastructure and tools (e.g., NVIDIA GPUs and CUDA).

Experience with managing high-performance computing (HPC) clusters, including job scheduling, resource allocation, and cluster maintenance.

Familiarity configuring job scheduling tools (e.g., Slurm).

Experience with AI infrastructure, model deployment, and management.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

Ability to work in a fast-paced, dynamic environment.

Bonus Points:

Familiarity with AI and machine learning frameworks (e.g., PyTorch).

Familiarity with cloud platforms (e.g., AWS, GCP, Azure).

Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

Experience with monitoring and logging tools (e.g., Prometheus, Grafana).

What we offer:

Holiday purchase

Private medical

Income protection

Attractive pension scheme

Positive work life balance

Learning and development

Life insurance

Lenovo and Motorola products discounts

Lifestyle discounts

Cycle to work

MyGymDiscounts

Mortgage advice and support

Referral bonus

Electric car salary sacrifice scheme

Free onsite parking



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 - Renfrewshire - Renfrew United Kingdom - Renfrewshire - Renfrew United Kingdom United Kingdom - Renfrewshire United Kingdom - Renfrewshire - Renfrew , United Kingdom - Renfrewshire - Renfrew


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.