**Job Title:** MLOps Engineer
**Location:** Remote
**Employment Type:** 6 month contract
Rate: £500 – 600 per day
We are looking for an experienced MLOps Engineer to streamline the deployment, monitoring, and management of machine learning models in production. This role will bridge the gap between data science and operations, ensuring scalability, reliability, and efficiency of AI/ML workflows.
Key Responsibilities:
- Build and maintain infrastructure for automated ML model deployment, monitoring, and scaling.
- Collaborate with data scientists and software engineers to integrate ML models into production environments.
- Monitor model performance and optimize for scalability and efficiency.
- Develop CI/CD pipelines for model updates and deployments.
- Ensure proper model governance, versioning, and documentation.
Qualifications and Skills:
- Bachelor’s in Computer Science, Data Science, or related field.
- Experience with MLOps tools (e.g., Kubernetes, Docker, MLflow).
- Proficiency in cloud platforms (AWS, GCP, or Azure).
- Strong understanding of CI/CD pipelines and DevOps practices.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
Preferred Qualifications:
- Experience with model monitoring and A/B testing in production.
- Strong scripting skills (Python, Bash).
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