AI Platform Engineer
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About the Role
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)
- Recruiter Screening – 30 minutes
Introduction via J&T Recruitment discussing experience in ML infrastructure.
- Technical Coding Interview – 60 minutes
Python problem solving and infrastructure-related coding.
- ML Infrastructure Interview – 75 minutes
Discussion around model training pipelines and ML infrastructure challenges.
- Platform Design Interview – 90 minutes
Designing a scalable AI platform architecture.
- Final Leadership Interview – 45 minutes
Cultural fit discussion with engineering leadership.
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