Top Technology Jobs & Startup Jobs in Sydney

Leads high-impact AI projects, defining data science approaches and robust software architectures. Responsibilities include developing algorithms, mentoring data scientists, managing project delivery, assessing technical feasibility, partnering with commercial teams and clients, and contributing to thought leadership through courses, speaking, or open-source work. The role combines hands-on data science expertise, technical leadership, client engagement, and delivery oversight.

Lead the design, development, deployment, and scaling of production-grade machine learning systems. Define ML engineering standards, make architectural decisions, collaborate with technical and commercial stakeholders, advise clients, and mentor junior engineers. The role requires expertise across the ML lifecycle, software engineering, cloud infrastructure, containerization, orchestration, and responsible AI deployment.

Leads customer growth across Australia by developing strategic account plans, driving sales, negotiating complex deals, and managing senior stakeholder relationships. Oversees multidisciplinary teams delivering large-scale AI transformation programs, identifies AI use cases, advises clients on strategy and implementation, and mentors team members. Requires consulting, digital transformation, commercial development, relationship management, and technical AI expertise.

Designs and delivers bespoke data science solutions for client projects, including end-to-end data science approaches, software architecture, algorithms, and scalable software. The role assesses technical feasibility, advises clients, leads technical standards, translates business problems into mathematical frameworks, validates model impact, and contributes to thought leadership through teaching, speaking, or open-source work.

Build and deploy production-grade machine learning software, tools, infrastructure, and scalable solutions. Collaborate with engineers, data scientists, and commercial leads to solve client challenges, lead technical scoping and architecture decisions, define ML deployment standards, and advise customers and partners. The role requires expertise across the ML lifecycle, Python, software engineering, cloud infrastructure, containers, orchestration, and core machine learning concepts.

Lead the launch and scaling of Faculty’s Australian operations. Design operating models, build the local operations team, coordinate People, Finance, Marketing, Legal, Security, and IT functions, manage office setup and external partners, and support HR, marketing, and project staffing. As a member of the Country Leadership Team, the role will establish local culture, strategic direction, and alignment with global processes, ethics, and organizational principles.