Open roleExternal
AI/ML Operations (MLOps) Engineer
- wolverhampton, west midlands, WV13AZ, United Kingdom
- Job type not listed
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is looking for a skilled AI/ML Operations (MLOps) Engineer to enhance their capabilities in delivering robust and scalable AI solutions from their Wolverhampton base. This role is crucial for bridging the gap between machine learning model development and production deployment, ensuring that AI models are efficiently built, tested, deployed, and monitored. You will work closely with data scientists and software engineers to streamline the ML lifecycle, implement best practices, and maintain a high level of performance and reliability for AI systems. Join an innovative company that is passionate about leveraging AI and MLOps to drive business success and foster a culture of technical excellence and collaboration.
Key Responsibilities
- Develop, implement, and manage CI/CD pipelines for machine learning models.
- Automate the deployment, scaling, and monitoring of ML models in production environments.
- Collaborate with data scientists to version control data, features, and models.
- Design and maintain infrastructure for ML training and inference.
- Monitor model performance in production and implement necessary updates or retraining strategies.
- Troubleshoot and resolve issues related to ML system performance and reliability.
- Implement best practices for model security, reproducibility, and explainability.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Proven experience in an MLOps or similar role, focusing on the ML lifecycle.
- Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD tools and practices.
- Understanding of machine learning concepts and model evaluation metrics.
Benefits
- Competitive salary and bonus opportunities.
- Opportunity to work on challenging and impactful AI projects.
- Comprehensive health, dental, and vision coverage.
- Generous holiday allowance and flexible working arrangements.
- Support for continuous learning and professional development.
- A dynamic and supportive team environment in Wolverhampton .