Senior AI Platform Engineer | Hybrid, Cloud & MLOps

Placements24; Southampton; Hybrid; GBP 41,000 - 54,000; Full time

Benefits offered by this job

Hybrid work model

Health, dental, and vision insurance

Professional development opportunities

Job summary

Placements24 in Randburg is seeking a Senior AI Platform Engineer to design, build, and maintain scalable AI/ML platforms on cloud infrastructure. You will enable data scientists and ML engineers to train, deploy, and monitor models in a hybrid work environment.

The role emphasizes distributed systems, Terraform/Ansible, CI/CD for ML, security and performance. Strong cloud and containerization skills, plus Python, Go, or Java, are required.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• 5+ years in software engineering with platform/infrastructure focus.
• Strong cloud experience and containerization (AWS/Azure/GCP; Docker/Kubernetes).
• Proficiency in Python, Go, or Java.
• Experience with MLOps and ML workflows.
• Hybrid work experience.

Responsibilities

• Design, build, and maintain scalable AI/ML platforms and infrastructure on cloud environments.
• Develop and manage CI/CD pipelines for machine learning models and applications.
• Implement and optimize tools for data management, model training, and model deployment.
• Ensure the reliability, security, and performance of the AI platform.
• Collaborate with data scientists and ML engineers to understand their needs and provide effective solutions.
• Automate infrastructure provisioning and management using Terraform or Ansible.

Skills

Distributed systems

Cloud infrastructure

MLOps

Python

Go

Java

CI/CD pipelines

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Terraform

Ansible

Docker

Kubernetes

Job description

Placements24 in Randburg is seeking a Senior AI Platform Engineer to design, build, and maintain scalable AI/ML platforms on cloud infrastructure. You will enable data scientists and ML engineers to train, deploy, and monitor models in a hybrid work environment.

The role emphasizes distributed systems, Terraform/Ansible, CI/CD for ML, security and performance. Strong cloud and containerization skills, plus Python, Go, or Java, are required.