Top Machine Learning Jobs in Melbourne

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 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 build scalable ML infrastructure and services to productionise models. Develop data orchestration pipelines, support real-time AI services, and collaborate with scientists and engineers to deliver LLM-powered features for millions of users.

Partner with business leaders to translate complex problems into analytical frameworks, deliver data-driven insights and visualisations, lead end-to-end analytical projects, and manage a team to improve portfolio performance and strategic decision-making.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

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 horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

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. Design scalable, secure cloud data platforms and AI solutions, embed governance and responsible AI, guide delivery teams, manage architectural risk and technical debt, and evolve enterprise data and AI architecture roadmaps and standards.

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 enhancement of risk infrastructure and automation, analyze historical trading data, administer MT4/MT5 and third-party trading tech, collaborate on hedging and mitigation strategies, prepare reports for Head of Risk, and mentor team members.

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.

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

The Lead Metallurgist will oversee resource evaluation, audit geometallurgy models, liaise with teams, ensure quality control, and mentor junior staff.

The Lead Metallurgist will oversee mineral resource evaluation, ensure quality control, audit geometallurgical models, and provide technical leadership, focusing on optimizing mine operations through advanced modeling and collaboration with teams.

The Director of Business Development will lead business development and go-to-market initiatives in mining, leveraging industry connections to establish executive relationships and create opportunities for Stratum AI's solutions. Key responsibilities include market development, sales strategy creation, and pipeline development, targeting high-value clients and navigating complex sales environments.

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.

Execute end-to-end outbound CRM campaigns (email, SMS, push): audience segmentation, QA, build, deploy and optimize lifecycle programs. Use automation, A/B and multivariate testing, machine learning/predictive modeling, and analytics to improve conversion and LTV. Collaborate with Data & Analytics, MarTech, product, media, and agencies to meet performance goals and extract insights for template and strategy optimization.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

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.

As a Senior Machine Learning Engineer, develop ML models to digitize infrastructure from varied data sources while optimizing training pipelines and mentoring junior engineers.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

The Product Manager leads product implementation and development, collaborates with teams, manages product roadmaps, and integrates AI capabilities for improved customer experiences.