Job Title: 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 Data Scientist in the Data \& Analytics team, you will be responsible for developing data driven, AI and ML solutions to deliver value to the organisation. You will work with business stakeholders, data engineers, data modellers, software engineers and analysts in cross functional teams to deliver end\-to\-end outcomes. You will also get opportunities to build proof of concepts to determine the value of AI/ML solutions to push the boundaries to create value for our brokers and their Clients. 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 machine learning solutions tailored to solve problems in a practical and timely manner. * Develop and improve AI solutions using large language models (LLMs), retrieval\-augmented generation (RAG), and agentic workflows that use tools and business systems to complete tasks. * Evaluate the performance, stability, and scalability of developed models, ensuring they meet the necessary business requirements and standards. * Work with Product, Engineering and Data Engineering to take solutions from experimentation into production and integrate them into existing products and workflows. * Apply appropriate privacy, security and responsible AI practices when working with business data and AI systems. * Stay abreast of industry trends, advancements, and innovations in AI, machine learning, and data science, driving continuous improvement and innovation within the team. * Communicate technical insights and recommendations clearly and 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: Lead AI Engineer Company: Zurich Australia Job Category: Machine Learning Roles & Responsibilities: As one of Forbes 2024 ‘World’s Best Employers’ and Fortune’s ‘World’s Most Admired Companies’ for 2025, Zurich \- a leader in the insurance industry, is on a journey towards a brighter future… A brighter future for you \- focused on your career, your wellbeing, and your community \- as well as our customers and the planet. Join us on this thrilling journey as we work towards our vision of becoming Australia's leading digital insurer. If you're eager to be part of a values\-driven global organisation that's experiencing real growth and transformation, and if you share our commitment to making a tangible difference and taking continuous steps towards a sustainable future for our people, customers, communities, and our planet, then keep reading! As a Lead Engineer within our ZX initiative, you’ll play a key role in shaping the future of AI\-led insurance at Zurich. This is a greenfield opportunity to design and build agent\-based solutions from the ground up, working on complex problems that directly impact customer outcomes and business performance. You’ll operate across the full lifecycle, from early experimentation through to production, delivering scalable and reliable AI\-native systems. You’ll work closely with engineering, product, and design teams to bring agentic systems to life. This is a hands\-on leadership role where you’ll set technical direction, uplift engineering standards, and help define how we build, evaluate, and scale AI solutions in a modern, cloud\-native environment. * Lead the end\-to\-end development of AI agents and agentic orchestration solutions in production environments * Drive engineering excellence through strong DevSecOps and AIOps practices, ensuring security, reliability, and resilience * Establish robust evaluation, monitoring, and observability frameworks to improve quality, accuracy, and performance * Build scalable, reusable components and contribute to shared frameworks, standards, and internal documentation * Optimise developer productivity through AI\-powered engineering tools and automation across the delivery lifecycle * Collaborate with cross\-functional teams to solve real customer and business problems using AI\-native approaches Important to your success – let’s grow together You are a hands\-on technical leader who thrives in ambiguity and brings structure to complex problems. You collaborate openly, challenge thinking constructively, and take ownership of outcomes while supporting others to do their best work. Belong. Zurich is here to support you There are so many reasons why Zurich is a great place to be and the right choice for you, but here are just a few. * Enjoy 5 weeks of annual leave for permanent staff through our Z leave initiative, along with 15 days of personal/carer’s leave as we empower our people to manage their own wellbeing. Plus, access to Family Care (parental leave). * Benefit from a hybrid working arrangement – 3 days in the office and 2 days working from home per week for full\-time employees. * Access programs to stay healthy and feel healthier, receive an AUD$500 wellbeing payment per year, and a AUD$295 new starter e\-voucher for your work\-from\-home setup (flex work \- hybrid working), along with other great benefits through our Shine portal. * Grow and thrive in your career with our award\-winning training programs. We support and encourage your development because our strength lies in our people, and we value your individuality. * Work with global, diverse, and inclusive teams; explore your passions, fuel innovation, drive equity, collaborate, and make a positive difference beyond your role. * Take advantage of global mobility opportunities across more than 200 countries worldwide. * Volunteer and work in our state\-of\-the\-art Green Star rated offices (when you are in the office) and dress for your day. * We plant a tree for every new employee. * Not to mention our various employer of choice awards/memberships – WGEA; Family Inclusive Workplace; Gold AWEI Employer, Pride in Diversity… to name a few. We could go on, but the main point is that Zurich is a great place to be, where you can truly belong, be yourself, maintain work/life balance, and thrive in a supportive environment. Work Location: North Sydney, New South Wales, Australia Availability: Full time
Job Title: AI Engineer - Senior Consultant Company: EY Job Category: Machine Learning Roles & Responsibilities: Working within the innovation team in our Digital Assurance practice, you’ll help move AI opportunities from discovery and feasibility assessment through rapid prototyping and into secure, scalable production delivery. This is a hands\-on engineering role rather than a pure research, strategy or architecture position. At Senior Consultant level, you’ll take ownership of defined technical workstreams and collaborate with senior technical, risk, product and engagement leaders. This is a hybrid position that can be performed from any of our EY offices across Australia. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options. Your Key Responsibilities * Design, develop, test and deploy AI\-enabled applications using Python and Microsoft Azure, including machine learning, generative AI and agentic AI solutions. * Translate business requirements and discovery findings into practical technical designs, prototypes and secure, production\-ready solutions. * Build scalable data, training and inference pipelines, applying source control, automated testing, CI/CD, monitoring and appropriate software engineering, security and operational practices. * Strong Python development skills and experience building production\-quality AI applications. * Practical experience with Azure AI services, including Azure AI Foundry, Azure OpenAI, Azure Machine Learning and Azure Databricks. * Experience delivering scalable AI pipelines using cloud\-native architecture, automated testing, CI/CD and MLOps practices. * Sound understanding of enterprise cloud security, monitoring and operational requirements. * Strong problem\-solving and communication skills, with the ability to translate business needs, contribute to solution design and own technical deliverables. Work Location: Canberra, Australian Capital Territory, Australia Availability: Full time
Job Title: Senior Data Scientist - Plant Intelligence Company: Fortescue Job Category: Machine Learning Roles & Responsibilities: Work Location: 256 St Georges Tce, Fortescue's Perth office is located on the traditional lands of the Whadjuk people. Reporting to: Principal Delivery Lead – Plant Intelligence Fortescue is transforming its business through Artificial Intelligence, bringing our unique culture of innovation and leading through doing* to transform our asset and employee productivity. In this role you will develop and deploy AI models for fixed plant operations, working with control and process engineers to integrate their outputs into plant control systems and operations strategies. These applications might include performance explanation, soft sensors for sensor augmentation, operating classification and setpoint recommendations. Success means measurable improvement in asset productivity drivers including operating rate, recovery and yield, energy efficiency and water use. This role is suited to experienced individual contributors who deliver autonomously in a range of settings. It would suit candidates coming from a range of backgrounds, including process engineering, metallurgy, data science or applied research. Mineral processing experience is valuable, but we would also consider strong technical specialists in applied data science and machine learning. Regardless of background, you will bring a strong ability to analyse operational performance, develop fit\-for\-purpose models and take them from exploration through validation \& operational use with SMEs and users. You will work in a forward\-deployed AI delivery team, with a focus on accelerated development of new solutions across multiple disciplines in close partnership with operations. As part of an AI\-native team, you will champion the practical use of generative AI in personal and team workflows, share effective practices and contribute to its adoption and productivity impact. Key Responsibilities ------------------------ * Owning the design, build, deployment and support of AI and analytics workflows across the product development lifecycle * Helping identify, quantify and validate efficiency and opportunities, using data from a range of sources * Collaborating with domain SMEs and users to shape technical requirements * Working closely with front\-line and operational support teams to test, validate and refine models to support adoption and operational impact * Maintaining the backlogs for development, and collaborating with cross\-functional teams to prioritise development * Supporting community development through technical engagement and leadership on data science and AI topics Qualifications and Experience --------------------------------- Be part of something big. Fortescue is leading the world with our plan to decarbonise our iron ore operations, projects that harness renewable energy and the development of technology that will change our planet forever.* Work Location: Perth, WA, Australia Availability: Full time
Job Title: Advanced Analytics Analyst Company: Commonwealth Bank Job Category: Machine Learning Roles & Responsibilities: * Build statistical and machine learning models that help solve real commercial lending and customer problems. * Join a highly experienced modelling team where you can develop specialist credit risk capability without needing previous credit risk experience. * Work on high\-impact initiatives spanning lending automation, merchant data, property analytics and model monitoring. We work on complex problems where the answer isn't always obvious. Rather than simply maintaining established models, we explore different data, methodologies and modelling approaches to understand a business problem and determine the right analytical solution. Our work spans areas including lending origination, servicing assessments, early warning and arrears, property analytics and the use of merchant data. We're a small, experienced team working on strategically important initiatives, and we're looking for an Advanced Analytics Analyst who is curious about data, enjoys solving problems and wants to develop their modelling capability in a supportive environment. In this role, you'll support the development and management of statistical and machine learning models that help us understand risk and make better decisions for our customers and business. * Support the development of statistical and machine learning models across commercial lending and credit\-related use cases. * Work with data to investigate business problems, identify patterns and determine appropriate analytical approaches. * Contribute to machine learning\-based origination scorecards and statistical modelling, including logistic regression. * Explore new data sources and methodologies, including merchant data, property analytics and forecasting. * Support model monitoring, implementation and ongoing model management. * Help translate analytical findings into meaningful customer and business outcomes. Work alongside experienced credit modelling specialists who can help you build your technical and domain expertise. * The team supports model implementation and works closely with the areas responsible for deployment, but does not own model deployment itself. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696\. Work Location: Sydney, Australia Availability: Full time
Job Title: Software Engineer Company: SCNITS AUSTRALIA Job Category: Machine Learning Roles & Responsibilities: About the role SCNITS Australia is seeking a capable Software Engineer to join our Melbourne team. In this role, you will design, build and maintain modern applications across a range of technologies, with a growing focus on artificial intelligence and machine learning. You will work closely with stakeholders to deliver reliable, secure and high\-performing solutions that meet real business needs. Key responsibilities * Collaborate with stakeholders to understand business requirements and translate them into technical designs and specifications. * Develop, test and maintain applications using Python, JavaScript/Node.js, React and C\#/.NET. * Design, build and maintain RESTful APIs, and integrate applications with SQL and NoSQL databases. * Implement AI capabilities within applications, including large language model (LLM) integrations, chatbots and automated workflows. * Prepare data and build, train and evaluate machine learning models for prediction, classification and analytics. * Deploy and manage applications in cloud environments (AWS or Azure) using CI/CD pipelines. * Write unit and integration tests, troubleshoot issues and resolve defects in a timely manner. * Participate in code reviews and uphold best practices in code quality, security and performance. * Create and maintain technical documentation, test records and user guides. * Provide ongoing maintenance, enhancements and technical support for existing systems. Work Location: In person Work Location: Melbourne, Australia Availability: Full time
Job Title: Senior Machine Learning Engineer (open to Staff Level) Company: Allura Partners Job Category: Machine Learning Roles & Responsibilities: About The Role Open to different seniority levels from Mid to Staff or Lead Duties / Key Responsibilities * Develop and refine predictive and forecasting models that feed directly into customer decision\-making * Build and scale optimisation frameworks to solve complex, constraint\-based problems * Design and maintain scalable backend services, APIs and data layers in Python * Architect event\-driven cloud infrastructure using infrastructure\-as\-code and automated orchestration * Take POCs through to production with clean, well\-tested code and strong CI/CD practices Allura Partners was founded to support private equity firms by placing C\-Suites to lead, transform, and scale portfolio companies. Today, in addition to our proven private equity specialisation, we've become a trusted partner for major ASX\-listed and private enterprises in Australia, offering executive search, recruitment, and business transformation. Known for integrity, reliability, and results, our expertise spans Executive Search, Accounting \& Finance, Transformation \& Change, and Technology \& Digital. We connect businesses and top\-tier talent, exceeding expectations and driving lasting impact. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Senior Machine Learning Engineer Company: Nearmap Job Category: Machine Learning Roles & Responsibilities: Job Description This role is all about translating R\&D from other parts of the Nearmap AI \& Computer Vision team into data and ultimately, answers. You will be a core contributor to the algorithmic systems that create the Map Data behind Nearmap's AI products. Every time Nearmap flies a survey, we find and measure what's on the ground (roofs, trees, roads and much more) and turn it into foundational map data: clean, property\-level data that other products build on. We work with 2D and 3D aerial imagery captured daily across whole countries, alongside property boundaries, licensed open data and other geospatial sources. We get that data into the hands of the people and systems that rely on it, and keeping it affordable and trustworthy only gets more interesting as the volume grows. We design, build, and operate software systems that take petabytes of data to transform aerial imagery to insight. The team focuses on algorithmic systems, where each node of the computational graph is a software application in its own right (such as a deep learning model or geospatial algorithm), and the goal is to produce outstanding high\-quality data for customers and internal stakeholders in a fully automated and cost\-effective manner. Our technology stack is based on the python scientific libraries and traverses machine vision deep learning technology such as Pytorch, and GIS tools such as the GEOS, Shapely and GeoPandas/GeoPolars libraries. We work mostly in python for speed of development and occasionally drop down to compiled libraries when we need to care about performance. On a typical day, you might spend a morning tracking down why a pipeline slows to a crawl in one region but flies through another, and the afternoon with a machine learning researcher working out what it would take to run their new model over a whole country. You could finish the day reviewing a colleague's PR that makes inference faster, checking that the numbers still come out the same. Agentic coding tools like Claude Code are a normal part of how we work, and they're well suited to the exploratory, iterative work this role involves. * Keep those pipelines reliable: monitor runs, diagnose failures and fix root causes. * Develop geospatial algorithms, such as stitching features across tile boundaries and clipping them to property parcels. * Build the tools and systems that let internal users find and use our data themselves and support them along the way. We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. * Quarterly wellbeing day off \- Four additional days off annually for your 'YOU' Days * Wellbeing and technology allowance * Annual flu vaccinations * Hybrid flexibility for this role * Nearmap subscription (of course!) * Stocked kitchen with access to all the snacks you need * In\-office lunch every Tuesday and Thursday at our Sydney CBD office * Showers available for anyone cycling to work or lunchtime gym\-goers! We move fast and work smart; often wearing multiple hats. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Data Scientist - Credit Risk Models Company: Commonwealth Bank of Australia Job Category: Machine Learning Roles & Responsibilities: Credit risk models play a critical role in helping CommBank understand how our lending portfolios could perform as economic conditions change. You’ll work with complex data and challenging modelling problems, combining technical rigour with commercial and risk judgement to understand not simply what a model predicts, but why, what is driving the outcome and what it means for the portfolio. You’ll join the Model Development Chapter Area within Risk Management, which develops credit risk models and advanced analytics across the Group. We’re recruiting across both Retail and Non\-Retail Models, giving you the opportunity to apply your quantitative skills to complex credit portfolios and contribute to the development of stress\-testing models and methodologies. The broader Retail Models team develops estimates including Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD), with models supporting regulatory capital, provisioning and stress\-testing activities. As a Data Scientist \- Credit Risk Models, you’ll apply advanced statistical and quantitative techniques to develop and enhance models that help us understand portfolio vulnerabilities, assess resilience under adverse scenarios and support better risk decisions. As such, you may regularly expect to: * Develop and enhance credit risk stress\-testing models using advanced statistical and quantitative techniques. * Apply approaches including predictive modelling, regression, time\-series analysis, panel\-data methods and macroeconomic modelling. * Translate economic and portfolio scenarios into measurable credit\-risk impacts, including changes in PD, LGD, exposure and expected credit loss. * Analyse model behaviour, sensitivities, limitations and key risk drivers to understand how portfolios may respond under different conditions. * Work with large and complex datasets, including incomplete or imperfect data, and determine practical, well\-governed approaches to analytical challenges. * Use R, Python and SQL, alongside relevant data and cloud platforms, to prepare data, perform analysis and develop models. * Translate technically complex modelling outcomes into clear insights that can be understood by both technical and non\-technical stakeholders. * Document methodologies, assumptions, limitations and modelling decisions clearly, supporting independent review and validation. * Partner across the modelling lifecycle with model users, independent model validation and business risk teams. Explore thoughtful uses of AI and emerging tools to improve analysis, learning, documentation and productivity, while maintaining appropriate human judgement and accountability. * You’ll be someone who genuinely enjoys quantitative problem\-solving. You’re comfortable getting into the detail of data and statistical methodology, but equally interested in understanding what the results mean and why they matter. To this role, you'll bring: This is an opportunity to deepen your technical capability in a sophisticated, highly regulated modelling environment where your work has a clear connection to real risk and business decisions. You’ll gain exposure to forward\-looking credit risk modelling, complex portfolio and economic scenarios, and experienced practitioners across modelling, validation, risk and the broader business. The role provides visibility beyond the mechanics of building models into how modelling insights inform portfolio management, planning and risk decision\-making. At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696\. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696\. Work Location: Sydney, NSW, Australia Availability: Full time
Job Title: AI Engineer/ Developer Company: FinXL Job Category: Machine Learning Roles & Responsibilities: FinXL is looking for an experience Senior AI Engineer / Developer to play a pivotal role in delivering complex application development projects across cutting\-edge technology and digital platforms. you will specialize in either on\-premise cloud\-native or public cloud platform tooling, with the capability to design, implement, and optimize environments for both greenfield (new) implementations and brownfield (existing) setups. You will focus on building secure\-by\-design architectures, incorporating reusable patterns and Infrastructure as Code (IaC) to deliver scalable, compliant solutions. Key Responsibilities: * Design, build, and maintain secure, scalable cloud infrastructure supporting Artificial Intelligence (AI), Machine Learning (ML), and Generative AI services. * Lead the end\-to\-end implementation, configuration, and optimization of enterprise AI solutions across on\-premise, public cloud, and hybrid environments. * Ensure all AI platforms comply with organizational security, governance, and regulatory frameworks through DevSecOps and secure\-by\-design principles. * Resolve highly complex technical issues, provide architectural guidance, and articulate technical concepts to stakeholders. * Collaborate with Data Scientists, Cyber Security, and Core Data teams to establish foundational capabilities while providing mentorship and best practice guidance to internal teams. Work Location: Sydney, Australia Availability: Full time
