Top Machine Learning Jobs in Melbourne

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.

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.

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 design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

The Reserve Engineer maintains and services robotic hardware, responds to failures at client sites, and ensures customer satisfaction. Responsibilities include learning hardware, communicating repairs, and assisting with deployment projects.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.

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.

Provide transactional legal support on private equity, M&A, and financing deals by reviewing, drafting, and negotiating NDAs and ancillary documents using client playbooks and an AI-enabled platform. Manage workload across concurrent transactions, identify deviations, apply fallback language per client guidance, collaborate with global legal, product, and engineering teams, and help improve internal processes and AI tools.

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.

Design, build and scale AI-enabled products and data solutions using cloud platforms and modern AI frameworks. Translate business challenges into technical outcomes, measure commercial impact, improve solution performance, and mentor engineers while contributing to engineering standards and cross-functional delivery.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

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.

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 execute statistical and geospatial analyses to quantify and map climate mitigation potential from forests and peatlands. Design analytical workflows, manage projects and partners, create datasets, tools, reports, and deliver trainings and technical support for global conservation initiatives. Communicate results via publications, visualizations, and capacity-building activities; occasional fieldwork and international travel possible.

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

The Genesys Cloud Architect will lead the design and architecture of cloud-based contact center solutions, ensuring alignment with business strategies and technical requirements.

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.

Lead design and implementation of AFCA's AI governance and assurance framework. Establish AI lifecycle assurance, conduct technical risk assessments, define governance standards and evaluation methods, maintain AI inventory and risk register, report to executives, and uplift organisation-wide AI governance capability.

Partner with sales and cross-functional teams to win deals by designing and demonstrating Snowflake-based data and AI solutions. Lead discovery, workshops, proofs-of-concept, and technical presentations; translate business needs into architecture and implementation patterns; build trusted relationships with technical and executive stakeholders to drive adoption and long-term value.