ML Ops Engineer - Remote
Reference: 892394MLops_1758116489
ML Ops Engineer
Remote with occasional travel to the London office
My client is hiring an experienced ML Ops Engineer who has hands-on experience working on AI projects. You'll be responsible for building, deploying, and maintaining machine learning pipelines and infrastructure, ensuring seamless model integration and scalability across production environments.
Key skills:
- Design, implement, and manage scalable ML pipelines and infrastructure for AI applications.
- Collaborate closely with data scientists and engineers to automate model deployment and monitoring.
- Build and maintain CI/CD workflows tailored to ML workloads.
- Ensure model performance, reliability, and security in production environments.
- Expertise in cloud platforms and container technologies.
- Proficiency in scripting languages such as Python or Bash.
- Familiarity with infrastructure-as-code tools (Terraform, CloudFormation).
- Manage cloud-based ML infrastructure (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
- Monitor and troubleshoot production issues related to ML models and data pipelines.
Please send across an updated CV if this position is of interest
GCS is acting as an Employment Business in relation to this vacancy.
ML Ops Engineer - Remote
Greater London
Contract
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