SENIOR MACHINE LEARNING ENGINEER – MLOPS
REMOTE (Travel to London once per month)
Up to 75,000 + 5,000 bonus + strong pension
COMPANY:
We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its customers.
They are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment.
ROLE:
- Design, build, and deploy scalable machine learning models to solve complex business problems.
- Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning.
- Automate the deployment and monitoring of models in production to ensure continuous performance and stability.
- Collaborate closely with data scientists, helping them move models from development to production seamlessly.
- Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy.
- Develop best practices around model versioning, testing, and governance.
- Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools.
REQUIREMENTS:
- 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow).
- Proven track record of delivering ML models that solve real-world business challenges at scale.
- Excellent communication skills with the ability to work effectively in cross-functional teams.
If this role looks of interest, please reach out to Joseph Gregory
