Job Title: Systems Engineer - Windows, Region Services Company: Amazon Web Services Job Category: Machine Learning Roles & Responsibilities: The AWS Region Services team combines AWS global cloud leadership with Australian security expertise to deliver highly secure, scalable environments for sensitive workloads. We’re creating innovative ways to use cloud computing, artificial intelligence, and machine learning while maintaining the highest standards of security and operational excellence. This is an opportunity to make a lasting impact on Australia’s digital future. You’ll work with AWS services, implement innovative solutions, and help customers succeed in their most important missions. We’re committed to helping our builders grow through continuous learning, mentoring, and collaboration with industry experts. Are you ready to build the future of secure cloud computing in Australia? Key job responsibilities The Systems Engineer contributes to the design, implementation, and automation of complex Windows infrastructure solutions across multiple environments. This role supports the infrastructure automation, system architecture, and Windows environment management, focusing on developing automated solutions for managing large server fleet. * Provide technical support for Windows Server infrastructure systems and Active Directory services * Perform system maintenance, updates, and patch management for Windows environments * Develop and implement automation solutions for routine support processes using PowerShell and other scripting tools * Maintain accurate documentation of all support activities, and contribute to knowledge base and runbook development * Participate in on\-call rotation to ensure 24/7 system availability Region Services provides the highest caliber Operational Solutions and Cleared Support for services within our Regions. We provide 'hands on keyboard' support to our service teams by deploying changes into these isolated regions, monitoring the results, and reporting any issues that are observed. We value work\-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Work Location: Melbourne, VIC, Australia Availability: Full time
Job Title: Data Scientist, AI Company: Virgin Australia Job Category: Machine Learning Roles & Responsibilities: Help shape how AI powers Australia’s favourite airline! Newly created, permanent role based out of our Brisbane or Sydney office (Hybrid). You’ll work closely with Revenue Management, Commercial and other business teams to identify opportunities where machine learning, optimisation and AI can make a meaningful difference. * Develop and deploy machine learning and predictive models to solve complex commercial and operational problems * Apply forecasting, optimisation and decision science to areas including pricing, demand, inventory and revenue management * Translate model outputs into clear, actionable recommendations that support better business decisions * Build robust, explainable and reproducible data science solutions, with strong validation, testing and monitoring * Explore and apply emerging AI capabilities, including generative AI and LLMs, where they can materially improve decision\-making, productivity or automation * Partner closely with stakeholders to understand their needs, measure impact and ensure solutions are adopted in practice * Contribute to a modern data science environment with strong engineering, version control and governance practices * Discounted flights for you and your loved ones (including $1000 worth of travel credits per year from 3 months in the role) * A flexible, hybrid work style. Work from home or the office, adapt your location to suit your style and needs * One of Brisbane’s most admired head office locations, with South Bank train station, a supermarket, pharmacy, and lunch options downstairs plus a 5\-minute walk to the Busway, a rooftop restaurant and onsite gym (with a low membership fee) and South Bank Parklands just across the road * Discounts on travel insurance, lounge membership, car hire, accommodation, and experiences worldwide * Cheaper hospitality, retail, technology, beauty and wellness services * Free counselling and access to a wellbeing app to support your physical, mental, social and financial health * ‘Dress for Your Day’ – enjoy the freedom to wear whatever makes you feel great for the type of work you do and the day you have ahead of you. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: Data Scientist Company: Commonwealth Bank of Australia Job Category: Machine Learning Roles & Responsibilities: As a Data Scientist in the team, you’ll help assess whether AI solutions perform as intended by independently evaluating their data, methodology, assumptions and outcomes. You’ll combine hands\-on technical investigation with clear, evidence\-based challenge, helping support safe and sustainable AI adoption. You’ll work closely with model developers, product owners and business stakeholders while maintaining the independence expected of a validation function. In this role, you will: * Independently deliver defined components of AI and ML validation, including technical analysis, testing and evaluation. * Review data, methodologies, assumptions and model outcomes, investigating unexpected behaviour and potential weaknesses. * Design and execute evaluations for Generative AI and agentic systems, including architectures involving RAG, tool use, guardrails, routing, memory and LLM\-as\-a\-Judge approaches. * Build reproducible test harnesses, reusable evaluations and automation that improve the efficiency and consistency of validation. * Navigate unfamiliar codebases, reproduce evaluation pipelines and inspect trace data to understand model and agent behaviour. * Provide constructive, evidence\-based technical challenge and bring your findings into broader validation conclusions. * Communicate complex technical findings clearly to both technical and non\-technical stakeholders. Share knowledge and contribute to the continuing development of AI validation practices, tooling and standards. * This role will suit a curious, hands\-on Data Scientist who enjoys getting beneath the surface of how AI systems behave. You’ll bring sound analytical judgement, attention to detail and the confidence to investigate unexpected results, while staying curious as Generative AI and agentic techniques continue to evolve. 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 Company: Hays Job Category: Machine Learning Roles & Responsibilities: Join a leading financial services organisation investing heavily in AI, data and digital transformation. Your new role As an AI Engineer, you'll design, build and support production\-grade AI solutions that deliver measurable business value in a regulated environment. Working closely with data, engineering, architecture and security teams, you'll: * Develop AI applications, copilots, agents and machine learning solutions * Build RAG solutions, enterprise search capabilities and agentic workflows * Create reusable APIs, prompts, orchestration patterns and integration components * Implement CI/CD pipelines, automated testing and MLOps/LLMOps practices * Integrate AI solutions with Azure, Microsoft 365, Power Platform and enterprise platforms * Embed responsible AI, privacy, security and governance controls into solution design * Monitor model quality, application performance, usage, cost and operational reliability * Contribute to engineering standards, reusable frameworks and platform capabilities If you're interested in this role, click 'apply now' to forward an up\-to\-date copy of your CV, or call us now. Work Location: Sydney, New South Wales, Australia Availability: Full time
Job Title: M/LOps Engineer Company: NTT DATA Job Category: Machine Learning Roles & Responsibilities: Working closely with data scientists, data engineers and architects, you'll play a key role in building scalable machine learning pipelines, automating model lifecycles and ensuring analytical workloads are reliable, secure and production\-ready. Key Responsibilities * Build, test and optimise production\-grade machine learning and data processing pipelines using Databricks and Apache Spark * Design and implement MLOps frameworks supporting model deployment, versioning, monitoring and automated retraining * Develop scalable and maintainable solutions using software engineering best practices, including automated testing and CI/CD * Optimise and productionise R\-based forecasting and statistical modelling workloads using Sparklyr and SparkR * Collaborate with data architects, engineers and business stakeholders to integrate predictive models into downstream systems * Monitor platform performance, pipeline reliability and data integrity across production environments * Manage Databricks workloads, MLflow implementations and model lifecycle processes * Support data governance, lineage and operational best practices across machine learning solutions * Contribute to architecture discussions and continuous improvement of engineering standards Work Location: Perth, WA, Australia Availability: Full time
Job Title: Senior Data Scientist Company: GoodStart Early Learning Job Category: Machine Learning Roles & Responsibilities: Role: Senior Data Scientist Location: Murarrie, QLD (Home of the Turrbal and Yuggera Peoples) Employment Type: Permanent, Full\-time Make a measurable impact using data that drives real outcomes for children, families, and centres. As a Senior Data Scientist within Goodstart's Data Science team, you will be the team’s subject matter expert in predictive machine learning and applied AI, while contributing strong Generative AI technical capability across the broader Data Analytics and Insights (DA\&I) function. Reporting to the Data Science Manager, you will partner with Data Scientists, Data Analysts and Data Engineering to apply knowledge of existing and emerging data science principles and techniques to inform business decisions. Your Impact: In this role, you will lead the delivery of data science solutions across high\-impact areas including child safety and safeguarding, quality and compliance, forecasting and retention. This is an opportunity to apply your technical expertise, collaborative approach and innovative thinking to help improve outcomes for children and families across Australia. You will: * Lead the end\-to\-end delivery of predictive models, applied AI and targeted Generative AI solutions that solve high\-priority business challenges and deliver measurable value for Goodstart. * Work closely with business stakeholders to understand their needs, identify valuable use cases and translate complex analytical findings into clear recommendations, decisions and measurable outcomes. * Take accountability for model quality and accuracy, applying pragmatic judgement to deliver trusted, maintainable solutions with technical rigour proportionate to the business need. * Partner with Data Scientists, Data Analysts, Data Engineering and operational teams across all aspects of solution delivery, ensuring solutions are practical, adopted and embedded into business workflows. * Strengthen team capability through technical direction, coaching, code reviews and the continued improvement of modelling, MLOps and documentation practices. We review applications as they are submitted. We encourage you to submit your application as soon as possible for your best chance to progress to the next stage of the process. Applicants who have previously applied for this role need not reapply. Supporting our people and protecting our children Work Location: Murarrie, QLD, 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, Australia Availability: Full time
Job Title: Staff Platform Engineer Company: Commonwealth Bank of Australia Job Category: Machine Learning Roles & Responsibilities: This is a hands\-on technical leadership role at the intersection of platform engineering, cloud, security and artificial intelligence. You will translate security requirements and emerging technologies into robust, automated and reusable services that engineering teams can adopt through clear paved\-road patterns. You will balance technical direction with implementation, solving complex platform problems, testing new approaches and enabling teams to protect AI workloads without relying on bespoke integrations or unnecessary technology coupling. Our purpose is safeguarding a brighter future for all by securing the bank, protecting customers, strengthening recovery capability and delivering leading security outcomes across governance, protection, detection, response and recovery. * Lead the architecture and engineering of platform capabilities that protect AI applications, services and workloads. * Build reusable services, application programming interfaces, libraries, templates and automation for policy enforcement, configuration management and telemetry. * Design integration patterns for securing AI traffic, model interactions, application programming interfaces and agentic architectures. * Establish engineering standards and technical guardrails using automated testing, infrastructure\-as\-code, configuration\-as\-code and modern continuous delivery practices. * Design capabilities for resilience, scalability and maintainability, while understanding the latency, throughput and capacity impact of controls within AI request paths. * Lead prototypes and proofs of concept, guiding successful experiments towards secure and production\-ready services. * Establish observability through meaningful metrics, logs, traces, dashboards and alerting. Mentor engineers and influence technical decisions across security, cloud, platform and application teams. * * Strong software engineering capability across services, application programming interfaces and integration patterns. * Cloud\-native engineering experience, including containers, orchestration, infrastructure\-as\-code and automated delivery. * Experience designing resilient, scalable, observable and highly automated production systems. * Understanding of security engineering principles and experience integrating security controls into platforms or application request paths. * Ability to evaluate emerging AI technologies through experimentation, prototyping and proof\-of\-concept activities. * Demonstrated technical leadership, including establishing direction, influencing decisions and mentoring engineers across organisational boundaries. * Experience with AI or machine learning platforms, AI gateways, model endpoints, agentic architectures, Kubernetes, proxies, service mesh, distributed tracing or policy\-as\-code. Software development experience using Go, Python, Java, TypeScript or a comparable language. * 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: 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, Australia Availability: Full time
Job Title: AI/ML Engineer Company: Downer Job Category: Machine Learning Roles & Responsibilities: This role is suited to collaborative, quality\-focused engineers who enjoy building, testing and improving production\-ready AI solutions with an agentic first mindset. You will work across enterprise scale AI platforms including Azure Databricks and MS Foundry and be well versed in engineering tools such as Claude Code, Codex, Cursor and/or Github Copilot. About the Role In this role, you will: * Design, build, test and deploy enterprise grade AI solutions and agentic workflows across MS Azure and Databricks ecosystems. * Using manual and spec\-driven techniques, develop clean, testable and well\-documented Python, C\# and SQL code that meets engineering standards and supports long\-term supportability. * Develop integrated PDLC and DDLC agent workflows which delivery software applications, data pipelines and products. * Build AI solutions using frontier and open weight models using RAG, VectorDBs, Knowledge Graphs and MCP servers. * Use Azure AI Foundry, Databricks Mosaic AI and approved AI engineering tools to support solution development and delivery. * Contribute across the delivery lifecycle, including problem framing, data exploration, prototyping, feature engineering, model evaluation, deployment, monitoring and support. * Design and maintain MLOps pipelines, including CI/CD for machine learning, automated model training, evaluation gates, deployment and monitoring. * Manage experiment tracking, model versioning and reproducibility through the Databricks MLflow model registry. * Implement solution performance monitoring with evaluation agents for drift detection, hallucination, and model performance degradation. * Apply spec\-driven development, DevOps, secure\-by\-design, responsible AI and human\-in\-the\-loop review practices. * Contribute to engineering standards, code reviews, prompt reviews, technical design sessions and agile delivery ceremonies. * Produce and maintain technical documentation, including architecture decision records, runbooks, model cards, data lineage records and pipeline documentation. * Support and mentor junior engineers through knowledge sharing, pairing and agent\-assisted delivery walkthroughs. * Work with architecture, governance and cyber security teams to ensure solutions meet Downer's enterprise, security and responsible AI standards. * Contribute to cost optimisation and FinOps practices across Azure Databricks and Azure AI Foundry. This is an opportunity to contribute to Downer's uplift in AI\-native delivery while developing your technical depth across modern AI/ML engineering, agentic workflows and governed enterprise AI. Our Ideal Candidate You are a hands\-on engineer who enjoys transforming complex problems into practical, reliable and maintainable solutions. You are curious about emerging AI engineering tools, a coder at heart but take pragmatic and responsible approaches to using AI tooling to accelerate development in enterprise environments. You are comfortable collaborating with product, architecture, security, governance and business stakeholders, and can explain technical concepts, limitations and trade\-offs clearly to both technical and non\-technical audiences. * Work with an ASX\-listed company, working with market leaders. * Grow your career with us through personal and professional development and continuous learning: + Professional development programs + Access to professional memberships and industry networks * Be part of a team that cares, with support that is flexible around employee wellbeing needs: + Flexible work arrangements + Parental leave + Employee Assistance Program + Programs promoting diversity and inclusion * A range of corporate benefits, including: + Discounted services (car hire, hotels, insurance, retail stores, gyms) Why Downer? As a trusted name in infrastructure, transport, facilities management, and construction, Downer is committed to delivering projects that create a lasting, positive legacy. As a WORK180 Endorsed Employer, we support flexibility that works for your life, inclusive leadership that values your voice, and equitable access to opportunity so you can do your best work and bring your whole self to it. Work Location: Melbourne, Victoria, Australia Availability: Full time
