Top Machine Learning Jobs in Melbourne

Develop and deploy machine learning products and services by translating complex business problems into applied research programs. Build robust data pipelines and reusable code in Python or Scala, develop and evaluate applications involving NLP, computer vision, and LLMs, and monitor algorithms at scale. The role also involves managing research risks, collaborating cross-functionally, mentoring colleagues, communicating complex findings, and raising scientific and engineering standards.

Design and implement novel real-time computer vision algorithms in C++, develop and maintain C++ CV pipelines for autonomous systems, integrate deep learning models with perception systems, collaborate with AI/robotics/optical engineers, and keep up with academic research to deliver reliable edge solutions.

Leads ML and platform engineering teams building scalable, production-grade machine learning infrastructure. Responsibilities include coaching engineers, guiding architecture and engineering trade-offs, improving MLOps maturity and observability, translating business goals into delivery plans, managing roadmaps, maintaining system health, and supporting production incidents through code review, debugging, or hands-on development. The role supports AI products including conversational GenAI, automated bank reconciliation, document capture, and cash-flow forecasting.

Serve as the product specialist for Zero Trust Networking across Australia and New Zealand, driving adoption and revenue for ZTNA, SD-WAN, and branch solutions. Collaborate with solution engineers and account teams to gather requirements, create value propositions, close deals, implement account-based strategies, and expand partner and customer relationships. Operate in a hybrid model (Sydney/Melbourne) and travel extensively as needed.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Design, implement, and integrate real-time computer vision algorithms into high-performance C++ pipelines for edge-deployed autonomous systems. Focus on custom perception capabilities, model adaptation and evaluation, inference optimization, dataset curation, and cross-functional integration with AI, robotics, and optical teams to deliver robust mission-capable solutions.

Lead and mentor engineers to design, build, and maintain scalable automation and onboarding systems. Implement AI/data-driven risk detection, collaborate with product/ops/compliance, drive architecture and reliability, and improve operational efficiency.

Lead end-to-end solution architecture for data, analytics and AI initiatives. Translate strategy into scalable, secure designs across data platforms, pipelines, model deployment and governance. Advise delivery teams and senior stakeholders, embed privacy, security and responsible AI, manage architectural risk and contribute to enterprise data and AI roadmaps.

Lead a multidisciplinary engineering team building next-generation conversational and semantic search capabilities. Drive technical direction, delivery, operational excellence, LLM integration, evaluation-driven development, and cross-functional collaboration to scale AI-powered search systems.

Lead development and implementation of AFCA's AI governance and assurance framework. Design lifecycle assurance, perform technical risk assessments, define controls and evaluation methods for generative and ML systems, maintain AI inventory and risk register, report to executives, and uplift organisation-wide AI governance capability.

Leads the enterprise strategy, roadmap, and delivery of governed data products, analytics, AI, and GenAI capabilities. Oversees multidisciplinary data engineering, analytics engineering, AI/ML engineering, and product teams; drives production AI solutions, governance, compliance, responsible AI, transformation, innovation, and operational efficiency. Partners with business and technology leaders, manages budgets and vendors, and builds high-performing teams within a regulated financial services environment.

Lead end-to-end UX and product design for Timescapes’ construction progress tracking platform. Research customer needs, prototype and test solutions, iterate throughout the product lifecycle, and design complex AI-powered capabilities. Collaborate with customers, product managers, and engineers while helping expand the design system, introduce AI-assisted workflows, and develop concepts for future products.

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities for Walmart Connect’s sponsored search ad server. Build infrastructure, tooling, AI/ML frameworks, and distributed systems; conduct design reviews; drive software lifecycle activities; mentor engineers; influence architecture and technical decisions; and collaborate across teams to translate complex business needs into reliable, data-driven solutions.

Lead the superannuation and wealth portfolio, ensuring commercial and delivery success of client engagements. Build C-suite relationships, drive business development, shape AI-driven propositions, manage proposals/pricing, and grow a high-calibre team while implementing AI-enhanced analytics solutions.

Build scalable backend platform capabilities, infrastructure, tooling, and ML frameworks for Walmart’s Membership Experience Engineering team. Lead the full software development lifecycle, apply cloud-native architecture, design APIs and resilient systems, integrate AI and machine learning components, conduct design reviews, and ensure deployment, observability, and maintenance. Mentor engineers, influence technical decisions, collaborate with stakeholders, and use data-driven practices to improve engineering productivity and product outcomes.

Provides advanced statistical expertise to technical operations, manufacturing, quality, and regulatory teams in a GxP environment. Applies statistical modeling, multivariate analysis, machine learning, process monitoring, comparability assessments, and analytics to support product quality, investigations, validation, lifecycle management, technology transfers, and continuous improvement. Also supports regulatory submissions, audits, training, and cross-functional decision-making through evidence-based recommendations.

Leads Android software development across design, coding, testing, deployment, debugging, and production support. Develops scalable and secure mobile solutions using Kotlin and modern architectures, integrates AI and ML capabilities, conducts code reviews, supports CI/CD and DevOps activities, monitors performance, and promotes engineering best practices. Collaborates with cross-functional teams, owns feature delivery, mentors peers, and contributes to Walmart+ customer-focused platform improvements.

The Senior Account Executive will develop sales strategies, cultivate relationships with clients, and manage the sales process to close deals with banks and fintechs.

Lead and embed Computational Design across projects and regions by developing workflows, automation, and AI-enabled tools. Provide technical leadership, mentor specialists, coordinate resources, create standards and training, collaborate with BIM/Sustainability/IT, and represent the practice in industry engagement and research.

Unpaid, part-time internship offering hands-on mentorship in robot learning and imitation learning. Work ranges from setting up robot simulation frameworks, robot integration and human demonstration data collection, to designing and training ML algorithms and deploying models on robots. Remote theoretical work allowed; Sydney-based preferred for hardware testing.

As a Strategic Sales Director, you will lead sales efforts, develop relationships with key executives, and drive significant transactions in Australia.

Manage sprint and release planning for Mosaic, translate business needs into a prioritised backlog, guide engineering and data science teams, define acceptance criteria, support UAT and incident triage, and coordinate compliance and operational commitments to deliver energy trading optimisation features.

Design and implement end-to-end data solutions: build data pipelines, perform data modelling and warehousing, implement ETL, write scalable Python/SQL/Spark code, work with cloud data services, support ML/AI initiatives, and liaise with clients to deliver practical, secure data products and visualisations.

Lead design and implementation of AI research and production infrastructure. Mentor junior engineers, and collaborate to enhance data usability, solving complex technical challenges.

Lead and execute Dataminr's Defence sales strategy across APAC: build strategic customer relationships, drive revenue growth, manage procurement and sales cycles, partner with cross-functional teams, mentor sales teams, and maintain accurate pipeline and forecasting in Salesforce.