Top Machine Learning Jobs in Melbourne

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.

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.

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

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 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.

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 the FICO–Accenture alliance in ANZ to grow ARR and CoE through consultative selling, joint value propositions, pipeline management, co-marketing, and end-to-end deal execution. Build executive relationships, productize repeatable IP, oversee joint business plans, and drive revenue via channel and direct sales while representing FICO at industry events.

As a Senior Software Engineer, you'll design and implement features related to digital twins, data abstractions, and structural analysis, leveraging machine learning and algorithms.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

The Solution Sales Executive will drive sales of FICO's platform in financial services, engaging with clients, managing relationships, and collaborating with internal teams to deliver solutions.

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 Research Scientist will tackle advanced research problems in Protocol Learning, publish findings, and work collaboratively in a distributed model training environment.

The Director of AI Engineering will lead AI capabilities, including development and evaluation of AI systems, while managing a team and collaborating with cross-functional departments.

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

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.

Lead and grow a 5-7 person enterprise sales team across ANZ, drive new logo acquisition and account expansion, develop GTM and business plans, manage full sales cycle, recruit and coach future sales leaders, and exceed quarterly and annual targets.

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.

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 Senior Solutions Engineer, you'll provide pre-sales technical support, deliver product demonstrations, and foster customer relationships for Tempo's SPM solutions across the APAC region, focusing on value-based SaaS sales and AI-driven capabilities.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

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.