About this role
The team is seeking a Machine Learning Operations Lead Engineer to join their team remotely. The ideal candidate will have a strong background in platform or infrastructure engineering with a focus on ML Ops, AI, and cloud technologies.
Key Responsibilities:
- Design, deploy, and manage scalable, secure, and high-performing cloud-based infrastructures across Azure and AWS.
- Lead the end-to-end ML Ops lifecycle, including model deployment, monitoring, retraining, and CI/CD integration.
- Collaborate with AI, ML, Data Science, and engineering teams to ensure seamless integration of machine learning models into production environments.
- Implement best practices for model governance and compliance.
- Optimize existing ML workflows and infrastructure for performance and cost efficiency.
Required Skills & Qualifications:
- 7+ years of experience in platform or infrastructure engineering.
- Significant experience in ML Ops, AI, and cloud platforms, particularly Azure and AWS.
- Strong understanding of CI/CD processes and tools.
- Proficiency in programming languages such as Python or R.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
Experience:
- Minimum of 7 years in relevant fields, with a proven track record in ML Ops.
What we offer:
- Opportunity to work in a dynamic and innovative environment.
- Chance to lead impactful projects in machine learning operations.
- Flexible remote working arrangements.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.