Senior Machine Learning Engineer

Job Description

SENIOR MACHINE LEARNING ENGINEER - MLOPS

REMOTE (Travel to London once per month)

Up to £80,000

COMPANY:

We are working with a leading telecoms/mobile network who 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