Top Machine Learning Jobs in Melbourne

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 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.

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.

Design and implement large-scale, production-grade distributed systems to power generative AI features. Own architecture, operational reliability, and technical debt. Collaborate with applied scientists to productionize ML/LLM models, mentor engineers, and improve data usability and engineering standards.

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.

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.

Lead delivery and engineering of cloud-based AI solutions (Azure/AWS). Provide technical leadership across design, architecture governance, CI/CD, IaC, security, DevOps, and production readiness. Coordinate onshore/offshore teams, manage risks and stakeholders, mentor engineers, and ensure scalable, secure, high-quality AI deployments.

Lead applied research and R&D for fixed income trading: design and deploy advanced ML and deep learning solutions, manage multidisciplinary research projects, build custom architectures, create OOS/simulation/backtest evaluation frameworks, and collaborate on quantitative trading workflows.

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.

Drive AI strategy and transformation by identifying high-value AI opportunities, defining roadmaps, operating models, and governance, facilitating workshops, building business cases, and supporting adoption, change management, and value realisation across business and technology stakeholders.

Lead client engagements to define and execute enterprise AI strategies, operating models, governance, and transformation roadmaps. Identify and prioritise high-value AI use cases, build business cases, drive adoption, mentor teams, and ensure measurable business outcomes across growth, efficiency, customer experience, and risk management.

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.

Support Emiri client deployments by bridging product support, UX, and development: investigate issues, triage root causes, configure and QA client models, coach commercial teams, test fixes, and communicate feedback to product. Use Jira/Confluence and apply NLP/ML knowledge to improve processes and user education.

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

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.

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