AI/ML Infrastructure Engineer
Negotiable
Job Description
Build the infrastructure that powers our AI systems. Design and maintain scalable ML platforms, training pipelines, and model serving systems.
Requirements
- BSc/MSc in Computer Science or equivalent
- 4+ years infrastructure/platform experience
- Experience with Kubernetes, Docker
- Knowledge of ML workflow tools (Kubeflow, MLflow)
- Strong cloud platform experience (AWS/GCP/Azure)
- GPU cluster management experience
- 4+ years infrastructure/platform experience
- Experience with Kubernetes, Docker
- Knowledge of ML workflow tools (Kubeflow, MLflow)
- Strong cloud platform experience (AWS/GCP/Azure)
- GPU cluster management experience
Responsibilities
- Design ML infrastructure architecture
- Build training and inference platforms
- Optimize GPU utilization and costs
- Implement CI/CD for ML
- Ensure system reliability and performance
- Support ML engineers and researchers
- Build training and inference platforms
- Optimize GPU utilization and costs
- Implement CI/CD for ML
- Ensure system reliability and performance
- Support ML engineers and researchers
Benefits
- Salary £85,000 - £130,000
- On-call compensation
- Stock options
- Premium tech equipment
- Health and wellness benefits
- Career development support
- On-call compensation
- Stock options
- Premium tech equipment
- Health and wellness benefits
- Career development support
Job Overview
Employment Type
Full Time
Experience Level
Senior
Location
London, England, United Kingdom
Vacancies
2
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