Job Title: Senior Machine Learning Engineer Company: Atlassian Job Category: Machine Learning Roles & Responsibilities: Overview Working at Atlassian Atlassians can choose where they work—whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities Your future team You will join AI Context, a team of software and machine learning engineers working across Sydney, Melbourne, Brisbane, and the US West Coast. The team has a mix of SWEs and MLEs and partners closely across Rovo \+ AI and product teams. You will act as a thought partner to Engineering Managers and Heads of Engineering, influence technical direction across stakeholder teams, and lead small virtual squads that own critical components. You will also coach junior engineers and help the team achieve its key results. Work Location: Carlton, Victoria, Australia Availability: Full time
Job Title: Associate Machine Learning Engineer Company: News Corp Job Category: Machine Learning Roles & Responsibilities: As an Associate Machine Learning Engineer in the AI Experience team (part of the Consumer Experience division), you’ll help build intelligent features that make property discovery more personalised and relevant for our users. You’ll work on recommendation and prediction models that power key experiences across REA’s web and app platforms. This includes using state\-of\-the\-art recommender systems such as deep learning models, collaborative filtering and content\-based methods, as well as supporting the development of decision models using techniques like regression and decision trees. Working alongside senior machine learning engineers and data scientists, you’ll contribute to model training, evaluation and deployment. You’ll also help maintain and improve AI pipelines that connect with systems like recommendation engines and user decision flows. This is a great opportunity to deepen your machine learning skills while contributing to impactful products that reach millions of users every day. * Contribute to the design and development of machine learning solutions for REA. * Apply new AI/ML technologies and techniques in products used by over 12 million users. * Build and maintain recommendation and prediction models using techniques like deep learning, collaborative filtering, regression and decision trees. * Help develop and deploy ML pipelines for both batch and real\-time use cases. * Work with cloud\-based tools and frameworks such as Python, Docker, and GCP or AWS. * Participate in model evaluation and monitoring. * Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production. * Work closely with product teams to support AI\-powered product features. * Continue to learn and grow your ML skills with hands\-on experience and mentoring. Work Location: Melbourne, Australia Availability: Full time
Job Title: Junior Machine Learning Engineer Company: I-MED Radiology Network Job Category: Machine Learning Roles & Responsibilities: We’re looking for a Machine Learning Engineer to help develop and deliver scalable, reliable machine learning and AI solutions that support clinical and operational outcomes across our organisation. Working within our Analytics team, you’ll collaborate with Senior ML Engineers, Data Scientists, Software Engineers and Clinical stakeholders to take ML models and AI solutions from development through to production. * Develop, train and evaluate ML models, and build AI solutions. * Deploy, integrate and operate scalable ML/AI services and workflows. * Develop and maintain ML pipelines, including batch and real\-time inference, integrating ML solutions with enterprise platforms. * Implement testing, monitoring and CI/CD practices. * Collaborate across technical and clinical teams to deliver high\-quality, secure and governed solutions. Work Location: NSW, Australia Availability: Full time
Job Title: Associate Machine Learning Engineer Company: REA Group Job Category: Machine Learning Roles & Responsibilities: Where the team fits in As an Associate Machine Learning Engineer in the AI Experience team (part of the Consumer Experience division), you’ll help build intelligent features that make property discovery more personalised and relevant for our users. You’ll work on recommendation and prediction models that power key experiences across REA’s web and app platforms. This includes using state\-of\-the\-art recommender systems such as deep learning models, collaborative filtering and content\-based methods, as well as supporting the development of decision models using techniques like regression and decision trees. Working alongside senior machine learning engineers and data scientists, you’ll contribute to model training, evaluation and deployment. You’ll also help maintain and improve AI pipelines that connect with systems like recommendation engines and user decision flows. This is a great opportunity to deepen your machine learning skills while contributing to impactful products that reach millions of users every day. Day to day of the job * Contribute to the design and development of machine learning solutions for REA. * Apply new AI/ML technologies and techniques in products used by over 12 million users. * Build and maintain recommendation and prediction models using techniques like deep learning, collaborative filtering, regression and decision trees. * Help develop and deploy ML pipelines for both batch and real\-time use cases. * Work with cloud\-based tools and frameworks such as Python, Docker, and GCP or AWS. * Participate in model evaluation and monitoring. * Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production. * Work closely with product teams to support AI\-powered product features. * Continue to learn and grow your ML skills with hands\-on experience and mentoring. Work Location: Richmond, Victoria, Australia Availability: Full time
Job Title: Full-Stack Developer Company: Emesent Job Category: Machine Learning Roles & Responsibilities: Emesent is a world leader in drone autonomy, LiDAR mapping, and data analytics. Our vision is to autonomously map the inaccessible. Founded in 2018, with deep connections to Australia's globally recognised CSIRO, we have established ourselves worldwide with a reputation for delivering high\-quality data capture in the mining, infrastructure, survey, and mapping industries. Our team of 100\+ roboticists, engineers, and business development experts work side\-by\-side to deliver revolutionary efficiency, safety, and operational insights to our customers. As a Full\-Stack Developer at Emesent, you'll play a critical role in developing our next generation of cloud computing workflows. You will leverage your experience in AWS, TypeScript and React to help build a platform enabling Emesent customers to process, colourise, filter, and visualise LIDAR point cloud data. Key Responsibilities Full\-Stack Development: * Design, build, and maintain efficient and reliable code across our stack. * Create new APIs and UIs using TypeScript and React. * Collaborate with UX/UI designers to create intuitive experiences for customers * Make improvements to architecture and tooling to accelerate and automate the software delivery processes. * Implementing continuous integration/continuous delivery (CI/CD) pipelines. * Architect and implement complex end\-to\-end system solutions by collaborating with other teams within Emesent * Lead and participate in code reviews, maintaining high development standards * Investigate and lead system improvements that improve our engineering efficiency * Create and document technical designs for significant features * Work closely with product managers to scope new work and technically contribute to Product Requirement Documents * Communicate technical challenges and solutions to both technical and non\-technical stakeholders. * Work with engineering leadership to optimise architecture and software delivery processes. * Proficient in TypeScript and React with a strong understanding of their ecosystems. * Demonstrated experience in full\-stack development with a portfolio of successful projects. * Excellent problem\-solving, organisational, and communication skills. * Experience with AWS, serverless technologies, and infrastructure as code * Familiarity with Agile project management methodologies * 9\-day fortnight – every second Friday off * Employee Share Option Plan (ESOP) – share in Emesent's success * Work alongside a passionate and collaborative team building world\-leading technology * Genuine learning and development opportunities including LinkedIn Learning access * Employee Assistance Program * One additional day of leave each year for your work anniversary * Novated lease options Note: This is an on\-site role at Milton office. 9 days fortnight. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Work Location: Brisbane, QLD, Australia Availability: Full time
Job Title: Machine Learning Engineer Company: TaskVerse Job Category: Machine Learning Roles & Responsibilities: About The Role Bailey Abbott is seeking a Machine Learning Engineer with a strong software engineering foundation to help productionise, scale, and maintain advanced analytical and predictive models. You will connect data science experimentation with dependable engineering, enabling models and analytical workloads to run effectively in production. Working within a Databricks environment, you will develop scalable data pipelines and automated machine learning lifecycles using Apache Spark, R, and modern engineering practices. You will collaborate with data scientists, data engineers, architects, and domain specialists to turn analytical solutions into maintainable services and workflows. This role suits someone who enjoys solving technical problems, improving reliability, and making complex systems easier to operate. You should be comfortable querying relational data and working with Delta Lake or comparable data formats, as well as large tabular or time\-series datasets. Familiarity with Python or PySpark, cloud platforms such as Azure, AWS, or GCP, Infrastructure as Code, model monitoring, data lineage, or enterprise governance would be beneficial. Responsibilities Design, build, test, and optimise production\-grade data processing and model training pipelines in Apache Spark and Databricks. Develop repeatable workflows that support reliable model deployment, versioning, monitoring, and retraining, using MLflow and CI/CD practices where appropriate. Partner with data architects, data engineers, analysts, and other stakeholders to integrate predictive outputs into downstream systems and analytical platforms. Monitor pipeline performance and reliability, help manage cluster sizing, and support data integrity, governance, and maintainability across production workspaces. Work Location: Australia Availability: Full time
Job Title: Senior AI Engineer Company: H2O.ai Job Category: Machine Learning Roles & Responsibilities: H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose\-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure\-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end\-to\-end AI solutions for some of APAC's most complex enterprise problems \- spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands\-on engineering role embedded within a customer\-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. What You Will Do * Model distillation and synthetic data generation for fine\-tuning an open source model (eg. Gemma). Experience with PEFT\-QLORA frameworks * Design and build agentic AI systems and multi\-agent frameworks that automate complex, multi\-step workflows for enterprise customers. * Develop and deploy LLM\-powered applications using techniques including RAG, fine\-tuning, prompt engineering, function calling, and tool use. * Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production\-grade reliability and safety. * Stay current with the rapidly evolving agentic AI landscape \- MCP, LLM orchestration frameworks, reasoning models \- and bring the best of it into customer engagements. End\-to\-End AI Application Development* * Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment. * Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. * Integrate AI models into customer environments \- cloud, on\-prem, and hybrid \- ensuring performance, stability, and maintainability at scale. * Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. * Work directly with customer data scientists, engineers, and business stakeholders to translate real\-world problems into AI solutions. * Contribute to pre\-sales and proof\-of\-concept engagements \- building fast, credible demonstrations that win technical trust. * Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome\-focused updates for business stakeholders. * Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high\-quality solutions. * Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine\-tuning, RLHF, model evaluation, guardrails, and LLMOps. * Solid grounding in classical ML \- able to select the right tool for the problem, not just default to the latest LLM. * Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications. * Strong problem\-solving instincts \- comfortable with ambiguity, able to move fast without sacrificing engineering quality. * Clear communicator who can explain complex AI systems to non\-technical stakeholders without oversimplifying. * Market leader in total rewards * Remote\-friendly culture * Flexible working environment * Be part of a world\-class team * Career growth H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting\-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. Work Location: Sydney, NSW, Australia Availability: Full time
Job Title: Geophysical and Geotechnical Data Analysis Intern Company: Equans Job Category: Machine Learning Roles & Responsibilities: and is operating and maintaining approximately 2GW of solar PV plants. You will be a part of our growing Innovations team tasked with the implementation of our LSP What you’ll be leading You’ll report to the Innovation leader, our key person in Australia managing the LSP program, and Your rôle and responsibilities: * Primary role: Develop, refine and validate data analytics and machine learning models to * Consolidate and manage large datasets from intrusive investigations (e.g. boreholes, test * Continue and enhance an existing preliminary model previously developed by Equans in findings into practical recommendations for project development and delivery. 2\. One or two interviews with the hiring manager or relevant team lead At Equans, we believe in the value of diverse talent. This role is open to all candidates, including Work Location: Sydney, Australia Availability: Full time
Job Title: Compliance Investment Information Services - Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION J.P. Morgan's Compliance Reporting Services (CRS) is one of the largest providers of post\-trade compliance reporting services to some of the largest Asset owners and Asset managers globally. Our service enables clients to efficiently detect and manage violations of their investment rules, facilitating risk reduction and demonstrating industry best practices. Our mission is to support our clients \- investment process by providing market leading services across the investment risk, return, analytics and post\-trade investment compliance spectrum. As an Associate in the Investment Information Services team, you will be responsible for interpreting guidelines, building investment rules, investigation of potential violations and partnering with the investment manager and/or the client to assess their needs and provide solutions. In your new role, you will be exposed to a wide gamut of financial products, including Equities, Fixed Income securities and Complex Assets. Job Responsibilities * Interpret investment guidelines and mandates to design clear, logic\-based compliance rules. * Build, test, and maintain rule configurations in post\-trade compliance platforms to ensure accurate monitoring. * Implement prospectus updates and rule changes with strong version control, documentation, and timeliness. * Investigate potential violations by analyzing holdings, portfolio composition, historical transactions, and reference data. * Validate data inputs and identify root causes, including data quality gaps, mapping issues, or rule logic defects. * Resolve exceptions by partnering with clients, investment managers, and internal data/configuration teams. * Prepare and deliver manual client and regulatory reports with high accuracy and audit\-ready support. * Monitor and triage client queries to meet service timelines and communicate clear next steps. * Partner with controls, audit, and risk stakeholders to strengthen processes and reduce operational risk. * Participate in client discussions to review service performance and support ongoing enhancements and projects. * Professional certification (for example, Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Certified Public Accountant (CPA), or Chartered Accountant (CA)). * Experience supporting client onboarding or large\-scale rule migrations/implementations. * Experience improving operational controls, documenting procedures, or supporting audit/testing activities. * Familiarity with automation or analytics tools (for example, Alteryx, Python, artificial intelligence, or machine learning) to improve efficiency and quality. * Experience providing backup coverage for a team lead/manager and coordinating work during periods of high volume. * Exposure to asset owner segments such as pension funds, insurance, mutual funds, or hedge funds. * Training or coursework related to operational risk, internal controls, or regulatory reporting. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first\-class business in a first\-class way approach to serving clients drives everything we do. We strive to build trusted, long\-term partnerships to help our clients achieve their business objectives. J.P. Morgan's Commercial \& Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial \& Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Work Location: Sydney, NSW, Australia Availability: Full time
Job Title: Fabric Data & Analytics Engineer Company: c/- Bundaberg Brewed Drinks Job Category: Machine Learning Roles & Responsibilities: At Bundaberg Brewed Drinks, we believe great data leads to great decisions — and we’re looking for a passionate and skilled Fabric Data Engineer to help shape our growing analytics landscape in our Bundaberg Office. About the Role Reporting to the IT Manager \- BI, Data \& Automation, this role combines modern data engineering, advanced analytics and machine learning to support business decision\-making across the organisation. You'll work within Microsoft's Fabric platform to develop scalable data solutions, automate workflows, and deliver meaningful insights that drive business performance. Key Responsibilities * Design, build and maintain data pipelines and analytical solutions within Microsoft Fabric. * Develop, deploy and monitor machine learning models used for prediction, forecasting and classification. * Perform statistical analysis, feature engineering and exploratory data analysis on large and complex datasets. * Create automated analytical workflows using Pipelines, Lakehouse, notebooks, Python and PySpark. * Monitor model performance, data quality and retraining requirements. * Collaborate with business stakeholders to identify opportunities and translate business needs into data\-driven solutions. * Present insights and recommendations to both technical and non\-technical audiences. * Maintain robust documentation, governance and best practice standards for analytics and AI solutions. To be successful in this role, you will ideally have: We're not just passionate about craft\-brewed beverages — we're passionate about our people and innovation. You'll join a supportive culture that values curiosity, creativity, and continuous learning. It’s an exciting time to come on board and help shape our data\-driven future. Work Location: In person Work Location: Thabeban, Australia Availability: Full time
