Machine Learning Operations (MLOps) Engineer
- bradford, west yorkshire, BD1 1AA, United Kingdom
- Permanent·On-site
- Full time
- £72,000 - £72,000 Per Annum
Job Description
About the Role
Our client is looking for an experienced Machine Learning Operations (MLOps) Engineer to join their growing technology division in Bradford . This critical role bridges the gap between machine learning development and reliable, scalable production deployment. You will be responsible for building and maintaining the infrastructure and workflows that enable seamless MLOps practices, ensuring that AI models can be deployed, monitored, and managed effectively. This position requires a strong understanding of both machine learning principles and robust DevOps practices. You will work closely with data scientists and software engineers to automate and streamline the ML lifecycle, driving efficiency and reliability in our AI initiatives. This is a key role in a forward-thinking company committed to leveraging AI.
Key Responsibilities
- Design, implement, and manage CI/CD pipelines for machine learning models.
- Develop and maintain infrastructure for deploying, monitoring, and retraining ML models in production.
- Implement robust logging, alerting, and version control strategies for ML systems.
- Collaborate with data scientists to ensure models are production-ready and scalable.
- Automate processes related to model testing, validation, and deployment.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in DevOps or MLOps, with a focus on machine learning environments.
- Proficiency with containerization technologies (Docker, Kubernetes).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) and scripting languages (Python).
Benefits
- Competitive salary and annual performance bonuses.
- Comprehensive medical, dental, and vision insurance.
- Flexible working arrangements and generous holiday entitlement.
- Professional development opportunities and access to cutting-edge tools.
- A collaborative team environment with a focus on innovation and continuous improvement.