Job Title: Data Engineer Company: National Heavy Vehicle Regulator Job Category: Machine Learning Roles & Responsibilities: About the role As a Data Engineer, you’ll bring a well\-rounded understanding of data\-driven practices to support senior team members and stakeholders in enhancing regulatory processes. From uncovering insights through data profiling and analytics to building robust models and engineering solutions, you’ll play a key role in how data is governed, interpreted, and transformed into actionable intelligence. Key responsibilities of this role are: * Collaborate within a high\-performing Scrum team to deliver BAU work and Project Roadmap milestones that support the Data Science and Analytics Strategy. This includes interpreting requirements, estimating effort, and raising risks and impediments early. * Interpret business requirements, estimate workloads, prioritise tasks, and manage time in the delivery of quality solutions to meet deadlines. * Design, build, and maintain scalable data pipelines in Databricks using Python, PySpark, and Spark SQL, primarily within our metadata\-driven ingestion and transformation framework. * Develop and operate Databricks notebooks and jobs on classic compute. Optimize performance and cost through cluster configuration, cluster policies, and Spark and Delta Lake tuning. * Extend and improve the framework's configuration, patterns, and reusable components so that new data sources can be onboarded quickly and consistently. * Contribute to the platform's evolution toward Lakeflow declarative pipelines and modern Databricks capabilities. * Deliver changes through modern CI/CD practices, including source control, automated testing, peer code review, and CAB\-approved releases. * Support, maintain, and upgrade existing workflows, deployment pipelines, and environments across the full application lifecycle. * Implement and manage data security with Unity Catalog, including catalog, schema, and table permissions, row filters, column masks, service principals, and secrets management. * Identify, classify, and protect sensitive and personal (PII) data. Apply tagging, masking, and access controls in line with privacy obligations and organizational policy. * Participate in a rotating incident management roster. This includes troubleshooting and resolving issues, performing root cause analyses, configuring monitoring and alerting, and writing troubleshooting guides. * Proactively remediate and document operational incidents, project risks, and impediments where possible or otherwise surface these items as appropriate to project managers and senior team members. * Salary package of $135,995\.90* \+ superannuation* * Monthly RDO* and paid leave over Christmas closure. * Hybrid working environment – up to 2 days from home. * Up to15\.25% superannuation through a co\-contribution scheme * Leave loading 17\.5% * Wellbeing programs – discounted fitness through Fitness Passport, Discount health insurance, flu vaccine, financial programs including discounted banking products, finance information sessions. * Salary packaging options including novated lease. * Discounted IT products including Microsoft and free family password security plan. * Ongoing training and professional development support * Professional membership Please Note: We will not require any support from Recruitment Agencies at this time and kindly request no contact is made. Only direct applications will be considered. Work Location: Brisbane, Australia Availability: Full time

Job Title: Senior Data Scientist Company: Blackbook.ai Job Category: Machine Learning Roles & Responsibilities: Blackbook.ai is seeking a Senior Data Scientist / Machine Learning Consultant to lead the full lifecycle of machine learning projects — from problem framing and data strategy through to model development, deployment, and ongoing performance management. This role sits at the intersection of applied research and production engineering, requiring both deep technical expertise in NLP and LLMs and the ability to translate business problems into scalable AI solutions. KEY RESPONSIBILITIES Model Development \& Research * Design, fine\-tune, and evaluate LLMs and multimodal models (e.g. Qwen, LLaMA) using frameworks such as PyTorch, PEFT/LoRA, ms\-swift, and Megatron\-LM * Develop and own RAG pipelines, embedding models, and retrieval systems (dense and sparse), including contrastive learning approaches to improve retrieval accuracy * Lead applied NLP work across tasks including text classification, NER, summarisation, OCR, and code generation * Conduct rigorous experimentation, benchmarking, and ablation studies; document findings clearly for technical and non\-technical audiences * Containerise and deploy models using vLLM, Triton Inference Server, TensorRT\-LLM, ONNX Runtime, and Docker * Build and maintain FastAPI services wrapping model inference endpoints; integrate models into production applications * Own CI/CD pipelines for ML components; manage experiment tracking and model versioning (e.g. ClearML, MLflow) * Monitor deployed models for drift, latency, and quality; iterate based on real\-world feedback Technical Leadership \& Collaboration * Act as a technical authority on LLM and NLP best practices across the data science team * Collaborate closely with software engineers, product managers, and domain experts to scope, deliver, and iterate on AI features * Conduct code reviews, define engineering standards, and contribute to a culture of technical excellence * Mentor and guide junior and mid\-level data scientists; support skill development through pairing and knowledge\-sharing sessions * Stay current with the latest advances in LLMs, multimodal AI, and NLP; evaluate and introduce new techniques with business relevance * Represent the organisation's work through publications, conference papers, or technical blog posts where appropriate * Contribute to the development and maintenance of internal benchmarks, evaluation harnesses, and datasets Work Location: Brisbane, Queensland, 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. * Design, build and run production pipelines that turn aerial imagery and other geospatial data into property\-level map data. * Keep those pipelines reliable: monitor runs, diagnose failures and fix root causes. * Make pipelines faster and cheaper to run through profiling, better use of GPUs and distributed compute, and compiled code where it pays off. * Measure the quality of everything we produce and validate every model or pipeline change against current outputs before it ships. * Turn research models into production systems that run across whole countries. * Develop geospatial algorithms, such as stitching features across tile boundaries and clipping them to property parcels. * Get data to the people and systems that use it, from batch deliveries to lower\-latency services. * Review code and share knowledge so our scientific Python stays clean, tested and documented. * 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, NSW, 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: New South Wales, Australia Availability: Full time

Job Title: Senior Data Scientist Company: Blackbook.AI Job Category: Machine Learning Roles & Responsibilities: Blackbook.ai is seeking a Senior Data Scientist / Machine Learning Consultant to lead the full lifecycle of machine learning projects — from problem framing and data strategy through to model development, deployment, and ongoing performance management. This role sits at the intersection of applied research and production engineering, requiring both deep technical expertise in NLP and LLMs and the ability to translate business problems into scalable AI solutions. KEY RESPONSIBILITIES Model Development \& Research * Design, fine\-tune, and evaluate LLMs and multimodal models (e.g. Qwen, LLaMA) using frameworks such as PyTorch, PEFT/LoRA, ms\-swift, and Megatron\-LM * Develop and own RAG pipelines, embedding models, and retrieval systems (dense and sparse), including contrastive learning approaches to improve retrieval accuracy * Lead applied NLP work across tasks including text classification, NER, summarisation, OCR, and code generation * Conduct rigorous experimentation, benchmarking, and ablation studies; document findings clearly for technical and non\-technical audiences * Containerise and deploy models using vLLM, Triton Inference Server, TensorRT\-LLM, ONNX Runtime, and Docker * Build and maintain FastAPI services wrapping model inference endpoints; integrate models into production applications * Own CI/CD pipelines for ML components; manage experiment tracking and model versioning (e.g. ClearML, MLflow) * Monitor deployed models for drift, latency, and quality; iterate based on real\-world feedback Technical Leadership \& Collaboration * Act as a technical authority on LLM and NLP best practices across the data science team * Collaborate closely with software engineers, product managers, and domain experts to scope, deliver, and iterate on AI features * Conduct code reviews, define engineering standards, and contribute to a culture of technical excellence * Mentor and guide junior and mid\-level data scientists; support skill development through pairing and knowledge\-sharing sessions * Stay current with the latest advances in LLMs, multimodal AI, and NLP; evaluate and introduce new techniques with business relevance * Represent the organisation's work through publications, conference papers, or technical blog posts where appropriate * Contribute to the development and maintenance of internal benchmarks, evaluation harnesses, and datasets Work Location: Hybrid remote in Brisbane QLD 4000 Work Location: Brisbane, QLD, Australia Availability: Full time

Job Title: Clinical AI Engineer Company: Heidi Job Category: Machine Learning Roles & Responsibilities: We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2\.8 million patient sessions a week across 190\+ countries, in 110 languages and over 200 specialties. The role ------------ * Design the evaluation. Define evaluations for greenfield products to an academic standard: endpoints, comparators, ground truth, sample size, analysis plan. Set the bar before the result arrives. * Build the measurement. Build, optimize and validate the LLM judges and rubrics that score the product at scale. Report their agreement with clinician ground truth, not their convenience, and retire the ones that drift. * Run it and write it up. Execute the evaluation, do the statistics, and write it up once in a form that serves the pod, the regulatory file and an academic submission. * Run post\-market surveillance. Monitor output quality in production and respond to regulatory feedback with data. Our clinical safety team triages complaints and incidents; you’re their counterpart in the pod, working out what their findings mean for the product and what should change. * Fix what the evidence finds. Prompt and rubric changes, evaluation harness changes, code changes in the pod’s codebase, shipped through the pod’s normal review and release process. * Publish. Contribute to peer\-reviewed literature on the translational benefit of the product. * Be the clinician in the room. Catch the output that reads well and is wrong. Hold the line on clinical nuance when a shortcut would ship faster. * Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. * Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. * Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. * Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end\-to\-end, and never be a bystander. * Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. * Live in clinicians' reality. Not the ideal workflow, the twenty\-patients\-before\-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. * Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. * Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend. * Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility. * Fertility support. £7,000 one\-off payment, eligibility applies. * Learning \& development. £700 per year for courses, books, memberships, conferences and more. * Home office budget of £500 one\-off to set up a workspace you actually want to work in. * Recharge days after major milestones and busy periods so you can reset and come back strong. * Work from anywhere for up to 4 weeks per year, wherever the world takes you. * Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements. * Flexibility that works. A hybrid environment, with 3 days in the office. Work Location: Sydney, NSW, Australia Availability: Full time

Job Title: Full-time | Management / Technology Consultant (2-3 years of experience) Company: Visagio Australia Job Category: Machine Learning Roles & Responsibilities: At Visagio, you have the opportunity to be part of something bigger. Recognised as a Great Place to Work®, we pride ourselves on being a people platform \- where you are what makes us Visagio. You’ll be supported by a global network of passionate and welcoming team members, ready to guide, teach, and grow with you. We’re hiring experienced professionals to join Visagio Australia full\-time across three streams. You’ll work on real client challenges, helping organisations transform through a combination of state\-of\-the\-art technology and management practices \- ranging from diagnosis and strategic recommendation to practical, agile, and sustainable implementation. 1\) Management \& Business Typical responsibilities include: * Delivering comprehensive business solutions by combining strategic overview with a concise and pragmatic approach * Performing data analysis and gathering insights to support client recommendations * Bringing an innovative, problem\-solving approach to client challenges * Contributing to a fast\-growth company and helping Visagio continue to achieve the extraordinary Typical responsibilities include: * Delivering business solutions with a strategic overview and a concise, data\-driven approach * Performing data analysis and generating insights for recommendations * Developing and implementing advanced analytics models (ML, GenAI, simulation, optimisation and other data\-driven solutions) * Tackling data storytelling challenges with an innovative approach You'll help design, develop and deliver full\-stack software solutions that meet client needs, contributing real code from early on while you grow across the engineering lifecycle. You'll work closely with the team and, increasingly, with designers, product managers and stakeholders. Typical responsibilities include: * Building, testing and deploying features across the stack \- including responsive front\-end interfaces (Angular or React) \- with support and code review. * Helping develop and integrate APIs (RESTful or GraphQL) with front\-end services. * Contributing to database, cloud and technical design discussions and learning to weigh trade\-offs. * Building AI\-enabled features and using AI coding assistants as part of how the work gets done. * Writing clean, documented code and helping create operational and end\-user documentation You'll lead the build of automations and low\-code solutions that improve clients' operational efficiency, primarily on the Microsoft Power Platform (Power Apps, Power Automate) and comparable RPA / low\-code tooling, owning delivery from process discovery through to a shipped, used tool. This stream also owns our data\-engineering delivery, so building data pipelines and constructing data warehouses sits squarely here. Typical responsibilities include: * Mapping client processes and spotting where automation or a low\-code app removes friction. Building, testing and iterating workflows and apps on the Power Platform (or comparable low\-code / RPA tooling). * Building data pipelines and helping construct and maintain data warehouses, plus the reporting and data\-management layers around them. * Designing the logic (conditions, data flows, approvals) behind a reliable automation. * Working with stakeholders to make sure what you build actually fits how they work, and documenting it. Online test: GMAT\-style critical reasoning and logical analysis, plus business case questions. (For Data/AI roles, code interpretation and quick coding may also be included.) Roles may be based in Perth or Sydney, depending on stream and business need, and in some special cases, remote work may be considered. Founded in 2003, Visagio is a global platform that helps organisations achieve their goals. With operations in over 45 countries and offices in Australia and Latin America, we specialise in driving efficiency and achieving sustainable results through projects that range from diagnosis and strategic recommendations to hands\-on solution implementation. Dive into a vibrant culture built on collaboration and personal development. Connect, share, and build your network from the moment you join by working closely with other Visagians and our clients. We invest in what makes you exceptional: your growth. We pair each team member with a buddy to help you navigate your early days and a partner who provides long\-term career guidance. Our corporate university, UniVisagio, is your launchpad for technical excellence and personal development, offering everything from workshops to webinars. At Visagio, our priority is to ensure an equitable environment where everyone feels free to exercise their full potential. Through our Think WIDE (Wellbeing, Inclusion, Diversity and Equity) initiative, we champion a diverse and supportive environment of trust and acceptance that inspires all Visagians to feel good, have a voice and impact our community. Work Location: Perth, Western Australia, Australia Availability: Full time

Job Title: Analyst Company: Medibank Job Category: Machine Learning Roles & Responsibilities: As an Analyst in Provider Strategy Analytics, your key role is to support decision\-making in respect to Provider Strategy. You will work closely with the Provider Strategy team to deliver analytical insights and recommendations that enable timely and informed decision\-making to enhance member and enterprise value. The role monitors health care efficiency, performance and quality while providing targeted recommendations and commentary. You will assess the impact of strategic initiatives and identify opportunities to leverage analytics for industry insights. You will be joining a collaborative team with a focus on career progression and growth. Key responsibilities will include: * Developing meaningful and actionable insights to support Medibank’s health care strategies and initiatives. * Provisioning analysis with respect to new methods of health care funding and price changes. * Monitoring and analysing benefit outlay and providing targeted commentary and insights. * Analysing member risk profiles and providing advice on health care interventions. * Innovating using advanced analytics – delivering business value by leveraging emerging analytical methods such as Artificial Intelligence/Machine Learning. You are a strategic thinker and have proven ability to analyse complex data and develop innovative, business\-focused reporting and analysis. You are a strong communicator with the ability to influence at a senior stakeholder level and tell the story within the data. At Medibank, we believe work should help you live better. You'll be part of a team that's reimagining how work, wellbeing and growth come together, with the flexibility, support and opportunities to make a meaningful impact while building a career that works for you and reaching your fullest human potential. Be Yourself. Belong Here We’re committed to a workplace where everyone feels safe, supported, and free to be themselves. By embracing diverse perspectives, we challenge the status quo and uncover better ideas. You can confidently bring your whole self—because your unique voice is what makes us stronger. Our employee networks create space for connection, advocacy and allyship. We offer flexible ways of working to support inclusion, accessibility and wellbeing. Work Location: Docklands, VIC, Australia Availability: Full time

Job Title: Software Engineer - AI & Machine Learning Company: Amplink Technologies Job Category: Machine Learning Roles & Responsibilities: About the Role In this full\-time, on\-site position, you will design, develop, test and deploy intelligent software systems and machine learning solutions supporting our MarketBrain AI technology and the Amplink modelling platform. The successful candidate will contribute to the development of AI\-powered applications, predictive modelling capabilities and high\-performance software systems, with a strong focus on software quality, maintainability, security and reliability. Key Responsibilities Design, develop, test and maintain software applications and AI\-driven systems supporting the MarketBrain AI platform. Develop, train, validate and deploy machine learning models, including neural networks and predictive algorithms. Design and implement scalable software components, APIs and integration solutions for machine learning models. Evaluate, optimise and maintain model accuracy, performance, scalability and reliability. Develop automated testing and validation procedures to ensure software quality. Prepare and maintain technical documentation, including software design specifications and model documentation. Research and evaluate emerging artificial intelligence and machine learning technologies to support ongoing platform improvement. Apply secure software development practices and contribute to the continuous improvement of development processes. Demonstrated experience in software engineering, software development or the implementation of machine learning systems. Ability to develop maintainable, scalable and reliable software solutions. Work Location: In person Work Location: Adelaide, Australia Availability: Full time

Job Title: Principal Data Scientist Company: Commonwealth Bank Job Category: Machine Learning Roles & Responsibilities: As a Principal Data Scientist in Financial Crime domain, you’ll be a hands\-on technical leader working in cross\-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions. You’ll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning in the team, and translating complex ideas into high\-impact outcomes for our customers and colleagues. You’ll contribute strongly to guide the team on technically demanding problems across Fin Crime domain as AI continues to evolve. If you’re passionate about shaping the future of AI while helping others thrive, we’d love you to lead with us.* Key Responsibilities: * Lead GenAI and Agentic system design and development: Prototype, design, develop, deploy and design monitoring for innovative GenAI and Agentic solutions that transform the prevention, detection and investigation of Financial Crime in the bank while setting technical direction and best practices across the domain. * Develop and implement Machine Learning Models: Prototype, design, build, deploy and monitor a variety of machine learning models * Expand Data/AI Science Usage: Identify potential AI opportunities across Fin Crime for future focus * Drive Continuous Improvement and Business Outcomes: Work closely with financial crime stakeholders to understand risk and operational pain points, driving adoption of AI and GenAI to enhance detection, improve investigative outcomes, and shape the future operating model We’re interested in hearing from people with the following skills. Technical Leadership and Coordination: * Ability to coordinate effectively across the Fin Crime and COO Data Science community to unify efforts and drive collaborative outcomes. * Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group. * Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts Working with us: Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. 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, New South Wales, Australia Availability: Full time