MLOps Engineer: Scalable AI Infra & Deployment

Talenzon group; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Talenzon group is seeking an MLOps Engineer to join their team in London. This role focuses on designing and maintaining MLOps infrastructure to support machine learning lifecycle management. You will build CI/CD pipelines for training, testing, and deployment of ML models, working closely with data scientists to ensure reliability and efficiency.

The ideal candidate will have strong experience with MLOps workflows, cloud platforms, and automation using Python. Join us to help scale innovative AI systems!

Qualifications

• Strong experience with MLOps workflows and AI infrastructure.
• Experience with cloud platforms like AWS, Google Cloud, or Microsoft Azure.
• Strong Python and automation skills.

Responsibilities

• Design and maintain MLOps infrastructure for machine learning lifecycle management.
• Build CI/CD pipelines for deployment, training, and testing of ML models.
• Collaborate with teams to productionise AI systems.

Skills

MLOps workflows

Cloud platforms (AWS, GCP, or Azure)

Containerisation (Docker)

Orchestration (Kubernetes)

Python

CI/CD pipelines

Infrastructure as Code

Monitoring tools

Job description

Talenzon group is seeking an MLOps Engineer to join their team in London. This role focuses on designing and maintaining MLOps infrastructure to support machine learning lifecycle management. You will build CI/CD pipelines for training, testing, and deployment of ML models, working closely with data scientists to ensure reliability and efficiency.

The ideal candidate will have strong experience with MLOps workflows, cloud platforms, and automation using Python. Join us to help scale innovative AI systems!