Top Machine Learning Jobs in Melbourne

As a Senior Applied Scientist, you will develop data-driven products and services by applying scientific methods and machine learning to solve complex problems. You'll collaborate with engineers and product owners to translate theoretical models into real-world applications, focusing on robust coding and maintaining high standards in research programs.

The Senior Manager leads AI presales with a team of Architects and Engineers to deliver POCs and technical solutions, driving customer adoption and revenue.

Lead collaborative molecular imaging research projects focused on PET (and SPECT), design feasibility studies, develop and validate prototypes, publish and present findings, grow external partnerships, and translate research tools into product-ready solutions.

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

As a Senior Data Scientist at Thoughtworks, you'll leverage statistics and machine learning to craft impactful data solutions, analyze data for insights, and communicate findings to stakeholders, while guiding junior team members and addressing ethical concerns.

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.

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

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.

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 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.

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

As a Software Engineering Manager, you'll lead the optimisation team, drive product and technical strategy, and foster individual growth while cultivating a high-performing team.

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.

The Digital Solution Executive will drive sales of digital solutions, design proposals, and manage complex deal logistics and negotiations.

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

Lead the Context & Personalisation team, developing Canva's centralised context platform and personalised AI experiences by guiding a multidisciplinary engineering team.

As a Senior Machine Learning Engineer, you'll research, develop, and deploy automated solutions for content moderation at Canva, collaborating with cross-functional teams and fostering a healthy code review culture.

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

The Commercial Account Executive will manage and grow a portfolio of commercial accounts, driving revenue growth and customer success through effective relationship management and solution-based selling.

The role involves presenting Workday's architecture, leading technical discussions, creating architecture designs, and demonstrating technology to stakeholders.

As a Strategic Account Executive, you will drive enterprise transformations, manage the full sales cycle, and expand accounts while working directly with leadership to refine the sales strategy.

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 Demand Planning Manager leads the demand planning capability in a data-driven supply chain, focusing on forecasting, strategic planning, and team leadership while leveraging advanced analytics and AI.