Top Machine Learning Jobs in Melbourne

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.

Hands-on principal engineer responsible for full-stack development (frontend, APIs, authentication/security), cloud deployments on Azure (including AKS and deployment pipelines), Node.js/JVM/Python development, AI-assisted coding, testing (e.g., Playwright), API documentation (Swagger), package management (NPM), and working with machine learning components. Requires hybrid onsite presence.

Develop and deploy computer vision and machine learning models for real-time airborne object detection on edge hardware. Responsibilities include improving ETL processes, organising datasets, training neural networks with PyTorch and related libraries, optimising models, conducting code reviews, mentoring junior engineers, documenting systems, and supporting the full ML lifecycle from research through deployment.

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.

Define and execute the product roadmap for AI-driven on-chain monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, ensure timely delivery of features, and communicate roadmap progress to stakeholders to improve blockchain security offerings.

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 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.

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.

Lead Sales Finance for APJ as strategic partner to Sales leadership: own P&L, forecasting, budgeting, variance analysis, KPI tracking, deal desk support, financial modeling, and cross-regional finance projects to drive sales performance and operational improvements.

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.

Lead design and delivery of scalable AI and data solutions, set engineering standards and guardrails, experiment with emerging AI tools, collaborate with product stakeholders, mentor engineers, and improve platform performance, reliability and cost across cloud-based pipelines.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

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.

Staff Software Engineer leading production AI/ML and GenAI engineering within a payments technology environment. Responsibilities include building cloud-native AI services, agents, RAG systems, APIs, microservices, and reusable platforms; establishing evaluation, guardrails, observability, security, and responsible AI practices; and taking solutions from experimentation through production operations. The role also influences architecture and engineering standards, mentors engineers, and drives DevSecOps and AI adoption across teams.

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.

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.