Lead ML Engineer

This is an opportunity for a Lead Machine Learning Engineer to help shape and scale machine learning engineering within a growing data and AI function. The role combines technical leadership with hands-on engineering, focusing on building and operating production ML systems and evolving the organisation's MLOps capability.

You will take ownership of the ML engineering platform, ensuring models can be reliably deployed, monitored and maintained in production. Working closely with data scientists, platform teams and cross-functional squads, you will help move models from experimentation into robust production services.

Alongside the technical responsibilities, you will also mentor and guide a small team of ML engineers, helping establish engineering standards, best practices and scalable deployment patterns across the organisation.

• Strong experience building and deploying production machine learning systems
• Excellent Python and software engineering fundamentals
• Experience with MLOps, CI/CD pipelines, and model lifecycle management
• Hands-on experience with cloud platforms (AWS, GCP or Azure) and containerised deployments
• Experience with infrastructure as code and modern engineering workflows
• Ability to work closely with data science teams to productionise models
• Previous experience mentoring or leading engineers is highly desirable

This is a great opportunity to play a key role in scaling machine learning capability within a well-established organisation while remaining close to hands-on engineering and architecture.

If you're interested, apply now or reach out to Oscar Harper at IC Resources.

7710 N FM 620,Bldg. 13-d, Austin.Texas 78726