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- Tasks: Design and maintain cutting-edge AI infrastructure for global projects.
- Company: Join Lenovo’s AI Technology Center, a leader in AI innovation.
- Benefits: Career growth, hybrid work model, and performance-based rewards.
- Why this job: Shape the future of AI with a talented team and impactful projects.
- Qualifications: 8+ years in software engineering and strong cloud computing skills required.
- Other info: Dynamic environment with opportunities for personal development and training.
The predicted salary is between 48000 - 72000 £ per year.
Join Lenovo’s AI Technology Center (LATC) – a global AI Center of Excellence – to help shape AI at a truly global scale. We’re building the next wave of AI core technologies and platforms, and we need a highly skilled AI Infrastructure Engineer / AI Operations Engineer to design, build, and maintain the infrastructure and tools necessary for efficient AI model development, deployment, and operation.
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 (bash), and system configuration (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 setting up multi-node distributed GPU clusters, leveraging Slurm, Kubernetes or related software stacks.
- 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 (PyTorch).
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Experience with monitoring and logging tools (Prometheus, Grafana).
What we offer:
- Opportunities for career advancement and personal development.
- Access to a diverse range of training programs.
- Performance‑based rewards that celebrate your achievements.
- Flexibility with a hybrid work model (3:2) that blends home and office life.
- Electric car salary sacrifice scheme.
- Life insurance.
Location: Edinburgh, Scotland – candidates must be based there, as the role requires working from the office at least three days per week (3:2 hybrid policy).
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industry: IT Services and IT Consulting
Advisory AI Infrastructure Engineer in Edinburgh employer: Lenovo
Contact Detail:
Lenovo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Advisory AI Infrastructure Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI infrastructure and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI infrastructure. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Advisory AI Infrastructure Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AI Infrastructure Engineer. Highlight your experience with cloud computing, Linux system administration, and any relevant projects that showcase your skills in AI infrastructure design and management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific tools or technologies you've worked with that align with the job description.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially in fast-paced environments like ours.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Lenovo
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI infrastructure, cloud computing, and the specific tools mentioned in the job description. Be ready to discuss your experience with Linux, Python, and any relevant frameworks like PyTorch. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially related to AI model deployment or infrastructure optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Collaboration is Key
Since the role involves working closely with data scientists and engineers, be ready to discuss your experience in collaborative environments. Highlight any projects where teamwork was essential, and demonstrate your communication skills. This will help convey that you can thrive in a dynamic setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
