Top Tech Jobs & Startup Jobs in Melbourne

Design, build, test, deploy, and monitor reliable AI/ML products and services at scale. Develop real-time and batch data pipelines, optimize ranking and retrieval models using embeddings, transformers, and LLMs, and establish evaluation, observability, and model lifecycle management practices. Collaborate across product, engineering, data, and consumer experience teams while contributing to scalable ML platform capabilities.

Lead the design, development, deployment, and operation of scalable AI/ML products and platforms. Own the full machine learning lifecycle, including experimentation, evaluation, inference, monitoring, and optimization. Develop LLM, retrieval, ranking, relevance, and generative AI solutions using Python, AWS, SQL, Airflow, Kafka, and BigQuery. Set technical direction, establish evaluation frameworks, improve engineering practices, mentor engineers, and promote reliable, ethical, and compliant AI/ML delivery.

Leads cyber governance, risk, and compliance activities across products, platforms, and initiatives. Designs GRC frameworks, coordinates control assurance, audits, remediation, regulatory compliance, third-party assessments, and risk reporting. Advises product and engineering teams on secure-by-design practices, supports incident preparedness, maintains risk and control registers, and drives security culture, automation, and continuous improvement.

Partner with data domain and product owners to build trusted, AI-ready data products. Coach teams on data ownership, governance, lifecycle management, quality, observability, and data-as-a-product practices. Translate enterprise standards into practical delivery guidance, identify cross-domain opportunities, communicate data health and business value, and provide feedback to platform teams. The role combines hands-on data engineering with stakeholder management, capability uplift, and influence across a federated environment.

Manage the migration of lifecycle campaigns from Salesforce Marketing Cloud to Braze, focusing on B2B customer journeys for real estate agencies and agents. Responsibilities include audience targeting, campaign development, personalization, testing, scheduling, launch management, performance analysis, and optimization. The role collaborates cross-functionally to prioritize campaigns, maintain customer journey continuity, identify opportunities, and improve engagement and conversion through data-driven experimentation.

Owns end-to-end lifecycle marketing campaigns for Mortgage Choice using HubSpot, including audience segmentation, workflows, personalized email communications, QA, launch, reporting, testing, and optimization. The role supports lead nurture, retention, refinance, reactivation, and broker engagement journeys while troubleshooting platform, HTML, data, workflow, and deliverability issues. It also develops content, coordinates compliance reviews, supports stakeholders and brokers, and explores AI tools to improve marketing efficiency and performance.

Lead the creation of REA’s residential machine learning capability, managing a distributed team across multiple product tribes. Set technical direction, engineering standards, delivery practices, and team ways of working. Provide guidance on ML, data science, data engineering, architecture, evaluation, governance, and operational excellence. Partner with product, design, and AI teams to deliver pragmatic AI/ML products using NLP, LLMs, semantic search, and related technologies.

Leads consumer lifecycle marketing strategy and personalization across email, SMS, push, and app channels. Builds segmented, data-driven campaigns, trigger programs, and transactional messaging; defines OKRs, monitors performance, and optimizes conversion and retention. Manages a team of three campaign specialists, partners with product and marketing operations teams, oversees roadmaps and dependencies, and communicates business impact. Requires strong consumer insights, experimentation, visualization, project management, and lifecycle marketing expertise.

Leads enterprise-wide strategy workstreams, developing financial models, market sizing, competitor analysis, scenario assessments, and strategic recommendations. Creates executive-ready materials, supports corporate and business-unit strategy, maintains dashboards and governance, contributes to Board and investor briefings, and influences senior stakeholders across the organization.

Design, build, test, release, and support Android features using Kotlin. Collaborate with Product, Design, and subject-matter experts to deliver user-focused functionality. Own features end-to-end, including performance, accessibility, analytics, experimentation, observability, and reliability. Contribute to shared mobile platform standards, code reviews, documentation, release support, and knowledge sharing while working in an agile, cross-functional squad.