AI Infrastructure Engineer / MLOps Engineer

Lenovo
Edinburgh
2 months ago
Applications closed

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AI Infrastructure Engineer / MLOps Engineer

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


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