AI Platform Engineer | Perth or Australia-wide | $180k–$220k + super

The quick version

• Build the unified AI platform that powers multiple safety-critical products used globally
• Own end-to-end deployment of ML models into real-world, resource-constrained environments
• Be the credible technical expert connecting distributed ML teams across AU, UK, Europe and Asia

Why this role exists

This organisation is bringing together several acquired products into a single modern AI platform. Until now, AI and ML work has been fragmented across global teams. They need a senior engineer who can bring direction, credibility and robust MLOps maturity.

What you’ll do

• Design and build the core AI platform enabling multiple product teams to deliver ML features at scale
• Develop reliable, secure and automated ML deployment pipelines for models used in sensitive, high-stakes domains
• Operationalise models for extremely low-resource environments (e.g. student devices with minimal CPU)
• Standardise tooling, patterns and governance across disparate AI/ML groups in AU, UK, Spain and Sri Lanka
• Evaluate and adapt existing models from research/uni teams, ensuring they meet production and compliance requirements
• Containerise, optimise and ship models using modern MLOps approaches (Docker, CI/CD, testing, monitoring)
• Influence architectural decisions and create a clear technical direction for the evolving AI ecosystem
• Provide hands-on technical credibility — visible evidence of past impact is highly valued

What you’ll bring

• Proven MLOps experience taking ML models into production (not just experimentation or model-building)
• Strong software engineering fundamentals across Python and cloud (AWS or Azure)
• Experience with containerisation, orchestration, CI/CD and ML lifecycle tooling
• Ability to design platforms supporting multiple product teams and diverse model types
• Demonstrated evidence of real-world impact: scale delivered, products shipped, talks given, open articles/projects etc
• Experience working with distributed or cross-timezone teams
• Nice to have: background in edge ML or optimisation for constrained devices, experience unifying legacy/duplicated ML stacks

Team & ways of working

• Join a growing AI function spanning Australia, UK, Spain and Sri Lanka
• Work with Head of AI, ML Engineers, Data Engineers and product stakeholders
• Hybrid for Perth; fully remote considered Australia-wide
• Collaborative, delivery-focused environment with transparency and credibility valued above everything

Compensation & details

• Permanent, full-time
• $180k + super (depending on experience)
• Perth-based preferred, but open Australia-wide
• Relocation support available for the right candidate
• Australian work rights required

Why it’s different

• Genuinely impactful domain with global user reach
• Opportunity to define the AI platform from the ground up and unify multiple legacy products
• Highly technical peers who value evidence, clarity and technical credibility
• Greenfield MLOps with strong backing and patience to hire the right person

What to do next

Apply via DR Analytics Recruitment.