MLOps EngineerSalary: Up to £65,000 + bonus/benefitsLocation: Leicester (hybrid)
Join a dynamic e-commerce and supply chain-focused company, where you'll have the opportunity to deploy impactful models while working with the latest technologies.
Role Overview:
As an MLOps Engineer, your key responsibilities will include:
- Deploying and productionising projects related to segmentation, churn, and recommender systems, as well as supporting supply chain initiatives for key stakeholders.
- Collaborating with a team of four, reporting to the Head of Engineering, and closely working with a broader Data Science team.
- Focusing on the full lifecycle of data pipelines, including training, evaluating, and deploying ML models on AWS/Azure.
- Partnering with Data Scientists to provide guidance on best practices for ML and MLOps infrastructure.
- Coordinating with a dedicated DevOps team.
Your Skills and Experience:
- Solid understanding of DevOps Engineering.
- 1+ years of hands-on MLOps experience.
- MSc or PhD in a STEM field.
- Strong expertise in data pipelines and ML model deployment.
- Proficiency with technologies such as Python, AWS, Docker, Azure, Kubernetes, MLFlow, etc.
- Sponsorship available for this role.
How to Apply
To register your interest, please send your CV to Daniel Abbasi via the apply link on this page.