Job Title: Senior Machine Learning Engineer Company: Anduril Industries Job Category: Machine Learning Roles & Responsibilities: At Anduril Australia we are developing un\-crewed maritime and air domain systems that leverage unsupervised autonomy for the delivery of long endurance, multi\-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL\-AUV) Program, require a Senior Machine Learning Engineer with deep experience developing, testing, validating and deploying machine\-learning based sensor processing and the technical toolchains they rely on. The Senior Machine Learning Engineer strives to leverage their experience to rapidly architect, design, deliver, support, and evolve next generation autonomous vehicles through the entire product life\-cycle. What You'll Do * Lead the design, development, integration and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities * Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training * Manage model selection, training, validation, evaluation, deployment and regression testing * Manage training data sourcing and integration, and quality * Develop tools and processes for machine learning in a classified environment * Collaborate with cross\-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing Required Qualifications * Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience * Experience in a senior role with the delivery of a production grade software system with a mature machine learning component * Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring * Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies * Experience with the delivery of computer vision capabilities, from the data side as well as the model side * Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment * Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity * Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2\) Preferred Qualifications * Experience with the delivery of capability with a public sector customer * Experience with workflow management tools such as flyte, airflow, and kubeflow * Experience with deep learning frameworks such as PyTorch * Experience with edge ML applications * Experience with inference engines such as TensorRT * Experience writing C\+\+, Go, Python or Rust * Proficiency in data management and traceability techniques to maintain high\-quality datasets and enable reproducibility of experiments and results * Desire to grow in to a Tech\-Lead\-Manager role, with responsibility for line management of engineers, in addition to delivery * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. * Please always verify communications: + Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. + Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Senior AI Engineer* Company: Accenture Australia Job Category: Machine Learning Roles & Responsibilities: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at accenture.com. Project Description: - Design and develop AI models, focusing on LLMs and Generative AI. - Monitor, maintain, and enhance deployed AI solutions for optimal performance. - Structured career development program - Flexible Work Arrangements \- centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Data Analyst Company: HUB24 Job Category: Machine Learning Roles & Responsibilities: At HUB24, we’re rethinking the way wealth management works, combining platform, technology and data to create better outcomes for financial professionals and their clients. What sets us apart is how we work. We back bold thinking, move with pace, and turn ideas into action. You’ll have the opportunity to make a real impact across your team, the business, and for the clients we support every day. * Work with smart, collaborative people who get things done. * Your ideas won’t sit in a backlog, they’ll be heard, tested and actioned. Grow your career your way, with support to learn, stretch and explore new opportunities. * We are looking for a Data Analyst to join our Data Strategy \& Analytics team. In this role, you will turn complex data into practical insights that support better decisions across the business. Working closely with stakeholders across Finance, Risk, Product, Operations, Technology and Distribution, you will build trusted analytical data assets, develop dashboards and reporting, automate recurring analysis, and help improve the way data is understood and used across HUB24\. * Gather, transform, validate and analyse data from internal and external sources. * Build and maintain analytical data assets and data models for reporting, dashboards and automation. * Develop clear dashboards, reports, visualisations and presentations that support business decisions. * Use SQL, Python and relevant analytics tools to automate analysis and improve delivery efficiency. * Apply statistical methods to identify trends, explain performance and solve business problems. * Support advanced analytics and machine learning activities where appropriate. * Partner with business stakeholders to understand priorities, clarify requirements and prioritise analytics initiatives. * Collaborate with data engineering, development and visualisation teams to deliver end\-to\-end analytics outcomes. * Contribute to data quality, validation, governance and secure data\-handling practices. Provide commercial insights that strengthen execution, strategic planning and client opportunities. * If you need any adjustments, please let us know \- we’re here to support you. Work Location: Sydney, NSW, Australia Availability: Full time
Job Title: Senior Data Scientist Company: LMG Job Category: Machine Learning Roles & Responsibilities: We are Australasia’s largest privately owned aggregator group, backing more than 6,000 brokers and advisers across Australia and New Zealand. Partnering with over 110 banks and lenders, we support independent businesses alongside our own Loan Market brand. In FY26, our brokers helped over 400,000 people settle over $167 billion in loans and reached a collective loan book of $428 billion, proof of what happens when scale meets real drive. About the role: As a Senior Data Scientist, you'll be a key contributor in our Data \& Analytics team, leading the development and implementation of cutting\-edge AI and ML solutions. You'll work closely with business stakeholders, data engineers, data modellers, software engineers and analysts to deliver impactful, data\-driven outcomes. This is a high\-impact role where you'll have the opportunity to shape the future of LMG and make a real difference in the lives of our customers. This is a hybrid role (2 days in the office per week). We are looking for candidates in either Sydney (preferable) or Melbourne. Duties and Responsibilities: * Design, develop, and implement AI and machine learning solutions to address complex business challenges. * Translate business problems into clear technical approaches, success measures and delivery plans. * Select appropriate approaches across generative AI, machine learning and statistical methods, balancing quality, complexity, cost and maintainability. * Establish evaluation frameworks, representative test datasets and automated checks to assess quality, reliability and business impact before and after release. * Work with Product, Engineering and Data Engineering to deliver scalable, maintainable AI solutions and integrate them into business products and workflows. * Guide the design of agentic workflows, including tool integration, access controls, failure handling and appropriate human review. * Establish and promote good practices for experimentation, testing, code review, documentation and responsible AI. * Communicate technical choices, trade\-offs, limitations and recommendations clearly to stakeholders. * Mentor and guide junior data scientists to foster their growth and development. * Stay at the forefront of industry trends in AI, machine learning, and data science, driving innovation and continuous improvement within the team. * Communicate technical insights and recommendations effectively to both technical and non\-technical stakeholders. * Flexibility \& Balance: Hybrid work (min. 2 office days per week, including a team anchor day), 6 additional ‘Me’ leave days, flexible public holiday swaps, and options to purchase additional annual leave. * Family \& Wellbeing: 16 weeks paid parental leave (plus superannuation support), paid fertility treatment leave, 12 days personal leave, and access to the Sonder wellbeing app. * Growth \& Development: Dedicated paid study leave and L\&D programs for each stage of your career * Community: Participation in the Loan Market Group Foundation (with donation matching) and a paid volunteer day. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Senior Data Science Company: Mutinex Job Category: Machine Learning Roles & Responsibilities: ### What’s the role? With a special focus on model and data product development and marketing science, you will take charge of our models in finding ways to improve robustness and learning of causal relationships. You will also support and lead the scalable and automated deployment of our models and data products for new customers. * Development of machine learning models as a product, with a critical focus on quality and customer success. * Development of novel models and data products. * R\&D POC work using contemporary developments in ML, AI, and statistics. * Writing: creating documentation for both data science and non\-technical stakeholders; providing a data science lens on insights and outputs from the model, processes, and data products. We’re improving a multibillion dollar industry with product technology that is disrupting the status quo of consulting based approaches to marketing mix modelling. Although it’s early days, we’re well positioned to win. We’ve got brilliant people, a market leading product, and we are regularly closing household name customers on the strength of our product in the market. Work Location: Chippendale, NSW, Australia Availability: Full time
Job Title: Senior Data Scientist – Applied Machine Learning Company: Lendi Group Job Category: Machine Learning Roles & Responsibilities: Lendi Group is transforming the way Australians find, buy and own property. As the company behind Lendi — Australiaʼs original and \#1 digital mortgage brand — and the iconic Aussie franchise network, we combine technology, distribution and deep property expertise to support customers across their entire property journey. Powered by our proprietary AI platform and a national network of 1,300 brokers and 220 retail stores, Lendi Group now manages a $107B\+ loan book and continues to set the pace in the industry, recently recognised as Aggregator of the Year. Through our integrated Find–Buy–Own ecosystem and industry\-leading Agentic platform, weʼre redefining how property decisions are made — delivering greater confidence, speed and simplicity for customers. This role sits at the centre of that next phase of growth. * Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions, with a goal of becoming AI\-native by June 2026\. * Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy. * Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance. * Grow \& Evolve – Develop your skills and advance your career in a fast\-moving, purpose\-driven environment. About the role This is a hands\-on role covering the full lifecycle: framing the problem, understanding the data, developing features and models, deploying solutions, monitoring performance and improving them over time. You will work closely with data engineers, product managers, analysts, software engineers and business stakeholders to deliver measurable outcomes. Generative and agentic AI will form part of the team’s evolving toolkit, where it is the right solution to the problem. The core of the role is strong applied machine learning and sound data\-science judgement. Job Description * Translate customer and business problems into clear analytical and machine\-learning objectives. * Work with large datasets, event data and feature stores to identify useful signals and build predictive features. * Develop, evaluate and improve models for use cases such as propensity, personalisation, growth and retention. * Apply appropriate techniques across classification, regression, experimentation, forecasting and other applied data\-science problems. * Take models through the full product lifecycle, including deployment, automation, monitoring, retraining and ongoing maintenance. * Help improve data quality, feature pipelines, model monitoring, drift detection and ML Ops practices. * Work with product managers and business stakeholders to define success measures and translate model outputs into action. * Explain technical approaches, assumptions and results clearly to technical and non\-technical audiences. * Collaborate with data, software and AI engineering teams to review solutions, improve coding standards and share knowledge. * Contribute to technical documentation, design discussions and delivery planning. * Work with external partners or vendors where required to deliver the right solution. * A vibrant, relaxed, yet professional culture. * Hybrid working arrangement designed to support work\-life balance, while fostering meaningful connection and collaboration. * A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work. * Generous paid Parental Leave: we celebrate our growing Lendi Group family with 18\-26 weeks leave for primary carers and up to 4 weeks for secondary carers. * An additional week’s Loyalty Leave each year after reaching 3 years’ service. * Wellness initiatives with a strong focus on psychological safety. We’re committed to fostering a diverse and inclusive community at Lendi Group. We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Senior Consultant - GCP AI/ML Engineer - Baseline | Brisbane Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Department: Technology \& Transformation Design, develop and deploy AI/ ML, and intelligent agent solutions on Google Cloud Platform (GCP). About the GCP AI/ML Engineer role Based in Brisbane, you will join our AI \& Data practice as a Senior Consultant and work across the full AI and machine learning lifecycle, from opportunity identification and solution design through to deployment, monitoring and continuous improvement. You will use Google Cloud technologies, including Vertex AI and Gemini, to build practical, secure and scalable solutions for complex client environments. You will collaborate with data scientists, data engineers, architects, product teams and business stakeholders to identify valuable AI and ML opportunities and translate them into production\-ready solutions. Your work may include preparing data, developing models and algorithms, building AI model, training models, monitoring performance and communicating technical decisions to stakeholders. Design, develop, train, test and deploy AI/ML solutions on GCP. Develop BigQuery and BigQuery ML, Auto ML, custom models, algorithms and data features using Python / R and relevant machine learning libraries. Use Google Cloud Gemini Enterprise Agent Platform (Vertex AI) for model development, training, evaluation, deployment and monitoring. Build/Support automated deployment, testing and monitoring practices for AI and ML solutions. Monitor model performance, data drift, quality, cost and operational outcomes, and implement continuous improvements. How this role brings our table\-stakes behaviours to life Our core behaviours guide how we work: Be Curious, Reuse and Improve, Validate and Elevate, Reinvent Delivery, and Show, Don't Tell. In this role, you will explore emerging AI and ML techniques, build working solutions, validate outcomes with evidence, reuse proven patterns and help teams deliver measurable client value. Our AI \& Data team brings together specialists across Australia who combine deep technical expertise with strong business insight. We work with public and private sector clients to design and implement advanced analytics, cloud data, machine learning and Generative AI solutions. You will work alongside AI engineers, data scientists, data engineers, architects and client teams, with access to Deloitte's broader alliance ecosystem and delivery capabilities. Understanding of MLOps, model evaluation, monitoring, security, privacy and responsible AI practices. We value in\-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities. We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market\-leading parental leave and return to work support package. Work Location: Brisbane, Australia Availability: Full time
Job Title: Software Engineer - Research Company: IMC Trading Job Category: Machine Learning Roles & Responsibilities: The Research Engineering team develops and deploys the pipelines connecting a research idea all the way to its rollout in production. We exist to ensure that the entire pipeline describing our research is efficient, effective, and scalable. People in our team are avid collaborators and work in tight feedback loops with our researchers. We talk through problems on desk, prepare solutions same day, and work out how to deploy safely for tomorrow. About You * You write production code in both Python and C\+\+. You reach for the second one when it matters, and you know when it does. * You're naturally curious about how other teams' systems work, not just your own, and you often end up being the person who spots where things won't fit together before it becomes a problem. * You enjoy working on many projects at once, seeing connections and opportunities between them which others miss. * You’re motivated to solve issues with whatever tool is best, rather than a preference towards deep specialisation in one area. * You like working with research stakeholders across the business and you're good at figuring out what someone actually needs, not just what they asked for. * You've done this commercially. You've owned something in production that other people relied on. Not necessarily big, but something you had to maintain, debug and live with long after you shipped it About Us IMC is a research\-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real\-time feedback to turn insight into execution and execution into advantage. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Senior Software Engineer - Machine Learning Company: REA Group Job Category: Machine Learning Roles & Responsibilities: What The Role Is All About This is a unique opportunity to design and deliver delightful, reliable ML products at REA. As our Senior Software Engineer, ML, you’ll be instrumental in designing and implementing the intelligent core of our platform. You’ll tackle complex challenges in building reliable, maintainable and scalable AI/ML systems that directly impact millions of users — helping them discover properties in ways they never thought possible. The systems you and your team develop and maintain will span a range of AI/ML techniques, including audience segmentation, large language models and multimodal vision\-language models. If you’re passionate about using AI to solve real\-world problems and want to help redefine an entire industry, this role is for you. You’ll * Design, implement, test, evaluate, deploy and monitor AI/ML products, pipelines and services using Python, modern ML frameworks such as PyTorch, AWS and cloud\-native technologies. * Apply engineering best practices including test automation, CI/CD, refactoring, observability, Docker and infrastructure as code to build and operate reliable AI/ML products. * Develop, test and maintain real\-time and batch data engineering pipelines using technologies such as Airflow, SQL, BigQuery and Kafka. * Establish automated evaluation and monitoring systems to track AI product and feature performance, detect drift and ensure quality at scale. * Implement and optimise ML models for ranking, relevance and retrieval using embeddings, transformers and LLMs in production environments. * Measure and optimise third\-party models through appropriate evaluation and optimisation approaches. * Own model lifecycle management, including versioning, deployment and CI/CD integration for reproducible experimentation and delivery. * Contribute to discussions, design and delivery of ML platform capabilities that accelerate delivery across teams. You’ll Bring Who we’re looking for * Proficiency in machine learning, ML engineering, MLOps, software engineering and LLMs in a commercial production environment. * Demonstrated knowledge and application of machine learning across training, evaluation, inference and model monitoring, using both structured and unstructured data such as image and text. * Proficiency in Python, SQL and other relevant ML technologies. You don’t need to know every technology we use, but you do need to be able to design and create high\-quality, maintainable software. * The ability to identify the most appropriate machine learning approaches and tools for a commercial application or opportunity. * Clear written and verbal communication skills, with the ability to work collaboratively across teams and with a range of business stakeholders. * The ability to independently and collaboratively lead the design, scoping and delivery of key feature slices to a high standard and within agreed timelines. * A strong motivation to learn — we’re constantly learning together, mentoring each other and looking for ways to improve. * The ability to thrive in a fast\-paced environment and adapt quickly. Work Location: Richmond, Victoria, Australia Availability: Full time
Job Title: Analytics Engineer Melbourne, Victoria Company: Bupa Job Category: Machine Learning Roles & Responsibilities: We’re a global healthcare leader trusted by millions and committed to helping people to live longer, healthier, happier lives and making a better world. Healthcare is changing, and so are we. We’re investing in more clinics, better systems and smarter, more connected ways to help our customers. As we continue to expand our services and invest in innovation, you’ll help create a healthcare system that meets people where they are, responds to what they need and leaves them better than before. Implement MLOps Framework to support the delivery of a set of propensity models that drive audience selection and personalisation for customer recommendations, offers and 1\-1 marketing campaigns. Provide support to the Customer Insights and Decision Science team with the development and management of data assets and pipelines that support feature development and insights generation. You may also carry out any other duties reasonably requested by Bupa from time to time. * Engineering using cloud first approaches * Data processing frameworks * Modern data management practices * Agile working rhythms * Automation \& Efficiency What you’ll be doing in this role: * Work with business stakeholders and data science / analytics team to understand detailed data requirements to be implemented * Engineering of data pipelines from data acquisition and ingestion though the data lake, to various means of consumption including, reports, dashboards, applications, models, and API’s. * Engineering of data features in support of advanced analytical processes and data science / analytics teams. Ensure that data features are reusable across different models and other areas of Bupa where appropriate, through championing the use of the feature store. * Engineering of data processes supporting monitoring of quality of key data sets and advanced analytical solutions’ inputs and outputs to minimise risk. * Work in accordance with Bupa’s designs, standards and guidelines, and patterns. We support our people to be the healthiest and happiest versions of themselves. We are dedicated to removing barriers to participation. If you need any reasonable adjustments during the recruitment process, or if you’d like to discuss how this role can be flexible for you, please let us know so we can support your participation on an equitable basis. Work Location: Melbourne, VIC, Australia Availability: Full time
