Machine Learning Team Lead
| Source | SEEK |
| Listed Company | GRIT Talent Consulting |
| Location | Brisbane QLD |
| Scraped | 2026-05-19 02:40 (0 days ago) |
| Real Employer | Luminate AI (jd_fingerprint, 65%) |
| Status |
Employer Found
|
View on Seek →
Description Snippet
Lead a team building and training ML models, deploying them to production in Azure with ongoing optimisation.
Full Description
We are seeking an experienced Machine Learning Team Lead (MLOps / Machine Learning) to drive the design, delivery, and ongoing operation of production AI solutions in a cloud-based environment.
This is a hands-on leadership role where you will guide a small team while working closely with software, data, and business stakeholders to ensure AI systems are reliable, scalable, secure, and delivering real-world impact.
Important:
This is not a traditional DevOps or API-based AI role. We are
specifically seeking candidates with hands-on experience building and training machine learning models
, and taking them end-to-end through development, production deployment, and ongoing performance optimisation.
Candidates with only DevOps, cloud engineering, or AI API experience are not suited to this role.
You will lead the delivery of AI and machine learning solutions across the full lifecycle — from model development and training through to deployment, monitoring, and continuous improvement in production.
Key Responsibilities
Lead end-to-end AI and machine learning delivery into production
Build, train, evaluate, and deploy machine learning models
Define and embed MLOps standards and responsible AI practices
Monitor model performance, accuracy, and data drift
Architect and maintain scalable ML pipelines and data workflows
Improve model performance through real-world feedback loops
Act as the primary technical contact for AI initiatives
Mentor and guide a small technical team
Collaborate with business and technology stakeholders
What You’ll Bring
3+ years’ experience in AI/ML production environments
Hands-on experience building and training machine learning models (not just APIs)
Strong understanding of model performance, accuracy, and generalisation
Proven experience taking models from development to production
Strong Python skills
Experience with Azure and Docker
Solid understanding of MLOps, CI/CD, and data engineering workflows
Experience mentoring or leading technical team members
Strong stakeholder engagement and communication skills
�� Apply via SEEK or contact Tony at
ton•@grittalent.com
or
04•• ••• 522
for a confidential discussion.