ML Ops Engineer

Key Skills

AWS, Continuous Integration & Continuous Delivery - CI/CD, Machine learning techniques, MLOps tools, Python Programming

Job Description

Role

What you need to have

• Bachelors/Masters in Computer Science, Software Engineering, Mathematics, or equivalent.
• Excellent Python programming skills.
• 2+ years’ experience in backend or infrastructure development on AWS.
• Practical experience in Infrastructure as Code and CI/CD.

What is good to have

• Keen interest in machine learning.
• Experience in monitoring ML pipelines.
• Previous exposure to event processing and data engineering.

What you will do

• Manage day-to-day operational tasks to ensure smooth functioning of our ML infrastructure and processes.
• Automate our processes to deploy and monitor ML models.
• Maintain and improve our inference pipeline using Python and AWS CDK.
• Collaborate with the backend team to deliver the ML predictions to the end users.

Work Environment

We offer competitive remuneration and benefits, including a tax-efficient employee stock ownership plan scheme (ESOP), generous paid time off, private health coverage, and access to a well-being platform. We also provide family-friendly flexible working time, for example, to support school pickup/drop-offs and remote working. We have cultivated a relaxed, collaborative, supportive culture that also emphasises high-performance. We value employee health and well-being and offer the opportunity to apply and develop your skills productively on a novel product with cutting edge technology.

Our engineering organisation is distributed across multiple locations and time zones, so we use a variety of tools and processes to enable effective distributed working. Our organisation has employees with a wide variety of nationalities, experience levels and backgrounds. We encourage applications from women, returning mothers to work and other under-represented groups.

If you are passionate about MLOps and eager to work with cutting-edge technology, we encourage you to apply and join our dynamic team.