AI Platform Engineer

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Not specified
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Cloud environments (AWS, Azure, GCP) Docker Kubernetes CI/CD DevOps practices Python MLOps Infrastructure as Code (Terraform/Ansible)

FULL DESCRIPTION

AI Platform Engineer at [Employer hidden — sign up to reveal]

Publication date: Apr 15, 2026

[Employer hidden — sign up to reveal] is a network and digital integrator that understands the entire value chain of the digital world. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop your skills.

About the role

  • Your day-to-day missions:Contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security. Work closely with data scientists, data engineers and infrastructure teams. Implement and maintain MLOps tooling and pipelines. Automate and standardize platform services (CI/CD, infrastructure as code). Participate in incident analysis and continuous improvement.
  • Occasional missions:Contribute to new AI platform features (GPU training, feature stores, model registries). Involved in migration projects to new cloud services or AI frameworks. Participate in communities of practice and proof-of-concept projects.
  • Skills you will develop:Deepen expertise in AI platform engineering, cloud environments, containerization, MLOps, observability, cross-functional collaboration, and technical leadership.
  • Benefits:Work at the heart of [Employer hidden — sign up to reveal] AI platforms. Flexible hybrid working environment. Continuous learning culture.
  • Career perspectives:Opportunities to Senior AI Platform Engineer, MLOps Lead, or Platform Tech Lead.
  • The team:International team combining data, AI, cloud, and platform engineering expertise.

Experience and education

3–5 years professional experience in platform/DevOps/data/ML engineering. Bachelor's or Master's degree in computer science, engineering or related field.

Hard skills

  • Good knowledge of cloud environments (AWS, Azure, GCP) and their managed services for data and AI.
  • Solid experience with containers and orchestration (Docker, Kubernetes) in production.
  • Hands-on CI/CD and DevOps practices (Git, pipelines, Terraform/Ansible, monitoring/logging).
  • Familiarity with AI/ML concepts and tools (Python, model serving, MLOps).
  • Understanding of security, reliability, performance for production platforms.

Soft skills

Team player with good communication, collaboration, rigor, curiosity, willingness to learn, ownership, and an agile mindset.

What we offer

  • Global opportunities in multi-national teams.
  • Flexible working hours and hybrid ways of working.
  • Professional development and upskilling.
  • Career growth within [Employer hidden — sign up to reveal].
  • Caring and daring culture, health and well-being programs, D&I initiatives.
  • Reward programs including Employee Referral Program.

At [Employer hidden — sign up to reveal], only your skills matter. We are an equal opportunity employer.

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