AI Platform Engineer

J&T Recruitment has been exclusively retained by an innovative AI research and technology company in Oxford seeking an AI Platform Engineer.

This role will focus on building the infrastructure and platforms that support machine learning development, model training, and large -scale deployment across cloud environments.

Key Responsibilities

• Build and maintain scalable ML infrastructure
  

• Develop tools and platforms supporting machine learning workflows
  

• Improve performance of AI model training pipelines
  

• Implement MLOps practices for model deployment and monitoring
  

• Work closely with data scientists and AI researchers
  

Tech Stack

• Python
  

• Kubernetes
  

• ML pipelines (Kubeflow / Airflow)
  

• AWS / GCP
  

• Docker
  

• Terraform
  

Requirements

• 4+ years experience in platform engineering or ML infrastructure
  

• Experience supporting machine learning systems in production
  

• Strong knowledge of containerized infrastructure
  

• Experience with cloud -native technologies
  

Interview Process (5 Stages)

1. Recruiter Screening – 30 minutes
   
   Introduction via J&T Recruitment discussing experience in ML infrastructure.
   

2. Technical Coding Interview – 60 minutes
   
   Python problem solving and infrastructure -related coding.
   

3. ML Infrastructure Interview – 75 minutes
   
   Discussion around model training pipelines and ML infrastructure challenges.
   

4. Platform Design Interview – 90 minutes
   
   Designing a scalable AI platform architecture.
   

5. Final Leadership Interview – 45 minutes
   
   Cultural fit discussion with engineering leadership.