Machine Learning Engineer

MLOps Engineer

Up to £95,000

London (Hybrid, 2 days onsite per week)

Company:

This start-up ate utilising the latest advancements in computer vision technology and making it accessible to businesses of all sizes within the retail space.

Responsibilities:

• Collaborate closely with product and machine learning teams to streamline deployment processes, automate tasks, and enhance the overall efficiency
• Design, deploy, and manage scalable and reliable cloud infrastructure identifying new use cases where AI can be applied to boost marketing performance.
• Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value.
• Drive continuous improvement initiatives to optimize infrastructure costs, increase operational efficiency, and enhance overall reliability and performance

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Experience as an MLOPs Engineer, DevOps Engineer, with a focus on cloud infrastructure and automation
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Keywords:

Machine Learning, Data Science, start-up, MLOPs Engineer, DevOps Engineer, Cloud, AWS, GCP, Azure