Job Title: Senior Machine Learning Engineer Company: Atlassian Job Category: Machine Learning Roles & Responsibilities: Overview Working at Atlassian Atlassians can choose where they work—whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities Your future team You will join AI Context, a team of software and machine learning engineers working across Sydney, Melbourne, Brisbane, and the US West Coast. The team has a mix of SWEs and MLEs and partners closely across Rovo \+ AI and product teams. You will act as a thought partner to Engineering Managers and Heads of Engineering, influence technical direction across stakeholder teams, and lead small virtual squads that own critical components. You will also coach junior engineers and help the team achieve its key results. Work Location: Greater Brisbane Area Availability: Full time

Job Title: Applied AI Specialist, Australia Company: Cloudera Job Category: Machine Learning Roles & Responsibilities: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. The Applied AI team exists to help the world's largest enterprises move beyond AI experimentation and into production. Our mission is to identify, validate, and accelerate high\-impact AI use cases that deliver measurable business outcomes across regulated and data\-intensive industries. Working at the intersection of industry expertise, AI technology, and enterprise data platforms, we partner directly with customers to solve complex business challenges using machine learning, computer vision, predictive analytics, generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production. About the Role As an Applied AI Specialist, your mission is to identify, validate, and establish technical conviction around high\-impact private AI use cases that can be successfully deployed into production. Operating within a specialized regional pod, you will lead technical discovery, execute deep\-dive AI workshops, and collaborate closely with strategic ecosystem partners such as NVIDIA. You will work directly with enterprise architects, data scientists, platform teams, and business stakeholders to evaluate AI opportunities, assess technical feasibility, and define clear implementation paths. Your focus is on separating low\-conviction ideas from production\-ready opportunities, ensuring that only the highest\-value use cases advance into our engineering pipeline. Lead AI Discovery Workshops \- Partner with strategic ecosystem providers, including NVIDIA, to design and facilitate highly technical hands\-on workshops that identify, validate, and prioritize private AI opportunities. Develop Regional Domain Leadership \- Serve as a subject matter expert within your regional pod, building deep expertise in one or more strategic industries while helping transfer successful AI patterns across customer segments. Build Technical Assets \- Develop lightweight proofs of concept, reference architectures, technical demonstrations, and solution frameworks that help customers validate feasibility before committing to full\-scale implementation. Capture and Scale Best Practices \- Document successful use cases, architectural patterns, and implementation frameworks that can be reused across customers, industries, and regions. The Builder Mindset \- Strong technical foundation in data science. Comfortable working directly with code, APIs, notebooks, development frameworks, and enterprise architectures. Executive Communication Skills \- Exceptional ability to engage technical and executive audiences, facilitating conversations that connect business outcomes with practical implementation strategies. Centralized Platform Support \- You will never lose time troubleshooting cloud credentials, environment setup, or workshop preparation. A dedicated Global Workshop Platform Engineer builds, seeds, manages, and tears down workshop environments programmatically, allowing you to focus entirely on customer engagement and solution discovery. Direct Access to Industry Innovation \- You will work alongside leading AI practitioners, strategic ecosystem partners, and enterprise innovators to help shape how AI is deployed across some of the world's largest organizations. * Generous PTO Policy * Support work life balance with Unplugged Days * Flexible WFH Policy * Mental \& Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * Paid Volunteer Time * Employee Resource Groups Work Location: Sydney, Australia Availability: Full time

Job Title: Research Fellow - Machine Learning for LEO Satellite Communications Company: Macquarie University Job Category: Machine Learning Roles & Responsibilities: The Role You will investigate how low Earth orbit (LEO) satellites can operate as intelligent agents, learning to make decisions and coordinate their actions as orbital and traffic conditions change. Your research will combine machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open\-source simulation and benchmarking platform to evaluate these methods under realistic network conditions. Within the project’s objectives, you will have considerable scope to shape the research direction, develop your own ideas and lead research contributions. The role offers opportunities to publish in leading journals and conferences, contribute to postgraduate supervision, and build your research profile through international collaboration. You will also contribute to technical reporting and collaborative research activities across the project team. To be considered for this role, please submit: Role specific enquiries: Dr Hazer Inaltekin at hazer.inaltekin@mq.edu.au. Your employment is conditional upon the completion and maintenance of all role\-required pre\-employment or background checks in terms satisfactory to the University. At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. Work Location: Australia Availability: Full time

Job Title: Senior Machine Learning Engineer (Platform) Company: Neara Job Category: Machine Learning Roles & Responsibilities: Neara is conducting cutting edge research, developing multi\-modal spatial frontier models. You will help the team run faster, helping overcome challenges that have never been seen before in the world. These models work with a range of less researched data types, including point cloud, geospatial data, and asset data. The lack of research maturity in the geospatial domain and novel nature of the problem presents unique challenges around performance, data unification, and deployment. The problem and role stretch beyond pure research. These models will be deployed with our global utility and new vertical customers, delivering real value and increased climate resilience for critical infrastructure. Your role will be critical in getting models out of the lab and into customer environments \- reliably, repeatably, and economically. What You'll Do * Build and operate ML pipelines \- Own the training, evaluation, and deployment pipelines end\-to\-end, from data ingestion through to models running in customer environments. * Automate the path to production \- Build CI/CD for models, artefact and model registries, reproducible environments, and infrastructure as code that takes an experiment to a deployed service without manual steps. * Keep production models healthy \- Implement monitoring, alerting, and drift and data quality checks, and act as a first responder when something breaks. * Run distributed training infrastructure \- Manage GPU clusters and scheduling, keep jobs efficient and utilisation high, and troubleshoot failures across cloud, on\-prem, and neocloud environments. * Ship reliable serving infrastructure \- Deploy and scale inference services that handle spiky load across regions and customers, with attention to latency, cost, and data residency requirements. * Remove friction for the ML team \- Improve the tooling and workflows ML engineers use daily, and document the standards that keep things consistent as the team grows. What You'll Bring * Solid hands\-on experience building and operating ML training pipelines, model serving, and monitoring systems in production. * Strong Python, and working knowledge of PyTorch (or equivalent) \- enough to debug a training job, not necessarily to design the model. * Practical experience with distributed training and GPU infrastructure, including scheduling, resource management, and diagnosing throughput or memory issues. * Experience in the cloud (AWS, GCP, or Azure), container orchestration (Kubernetes, Docker), and infrastructure as code. * Experience with production model monitoring, data quality frameworks, and preparing training data for ML readiness. * Sound engineering judgement \- you write maintainable code, think about failure modes, and know when a quick fix is fine and when it isn't. * Bonus: CUDA or kernel\-level optimisation experience, exposure to point cloud or geospatial data, or experience supporting deployments into regulated or air\-gapped customer environments. Work Location: Sydney, New South Wales, Australia Availability: Full time

Job Title: Expressions of Interest - Graduate Quantitative Researcher 2027 Company: Optiver Job Category: Machine Learning Roles & Responsibilities: As our Graduate Quantitative Researcher, you’ll develop, refine and implement statisitical models that directly impact and improve the global financial markets. As part of a team of expert researchers, you’ll leverage our large historical datasets and the latest technologies to develop innovative solutions that drive Optiver’s cutting\-edge trading strategies, fully immersing in the world of market making. If you have a critical mindset, a passion for quanititative problems and mathematical precision, you are the ideal candidate for this role. Join us and be a part of a dynamic team where you can make a meaningful impact. Your Responsibilities From your first day on the team, you’ll have the autonomy and responsibility to make decisions that create an immediate impact. Every day will present you with new and interesting challenges to solve, and it’s up to you and your team to drive our success by ensuring that our quantitative models remain at the cutting\-edge of constantly evolving capital markets. Key responsibilities may include: * Using statistical models and machine learning to develop innovative solutions that are foundational to Optiver’s trading strategies * Leveraging big data technologies to analyse high\-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities. * Building stochastic models to determine the fair value of financial derivatives. * Combining quantitative analysis and high\-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries. * Seeking continuous improvement in everything you do. Find your niche in research We offer a range of opportunities in our research teams. During the training program, we will work with you to ensure that you’re placed in the most suitable role for you. Below are examples of the various roles available. * Read Dom’s story to discover how he uses cutting\-edge statistical and machine learning algorithms to develop profitable live trading strategies in the Delta 1 team. * Read Noah’s story to discover how he leverages large datasets to create underlying models that price our financial instruments in the Options Pricing team. * Read Rob’s story to discover how he develops and tests hypotheses that drive improvements in the execution, speed and success of our trading systems, in the Performance Research team. What You’ll Get You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high\-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets. * A performance\-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment. * The opportunity to work alongside best\-in\-class professionals. * Training, mentorship and personal development opportunities. * Gym membership, plus weekly in\-house chair massages. * Daily breakfast, lunch and an in\-house barista. * Regular social events. Work Location: Sydney, New South Wales, Australia Availability: Full time

Job Title: Data Engineer Company: Bunnings Job Category: Machine Learning Roles & Responsibilities: About the role As a Data Engineer in our Data, AI, Loyalty and Analytics team, you’ll build scalable data pipelines, analytical datasets and models that support reporting, self\-service analytics, advanced analytics and emerging AI use cases. Working with technologies including Python, dbt, Apache Airflow, Snowflake and Power BI, you’ll solve meaningful data challenges in a large and evolving environment. You’ll join a collaborative team that values practical thinking, sound engineering and continuous learning. With support to test ideas, develop your capability and take ownership, we’re Inspiring you to give it a red hot go* . This is an opportunity to shape how trusted data is created, managed and used across Bunnings. You’ll: * Build and maintain reliable data pipelines and curated datasets for reporting, analytics and AI initiatives * Design dimensional, semantic and other analytical models that make data easier for teams to understand and use * Develop reusable transformation logic using Python, SQL, dbt and Apache Airflow * Improve data quality through automated testing, monitoring, documentation and clear lineage * Optimise queries and data solutions for performance, scalability and cost * Translate evolving business requirements into practical, maintainable data products * Partner with BI developers, data scientists, analysts, architects and product teams to deliver connected solutions * Contribute to peer reviews, technical discussions and shared engineering standards Help create consistent business definitions while balancing flexibility, governance and delivery pace * You’ll have room to influence how we work, strengthen our engineering practices and develop solutions that support both team members and customers. We love the diversity across our teams, brought together in an inclusive culture guided by our values. We welcome applications from individuals of all ages, cultural backgrounds, abilities, sexual orientations, and gender identities. We strongly encourage Aboriginal and Torres Strait Islander peoples to apply and join us in shaping a workplace that celebrates First Nations voices, perspectives, and contributions. Please note, you must be age 15 or over to apply for a role at Bunnings. Bunnings is the leading retailer of home improvement and lifestyle products in Australia and New Zealand. We're proud to support project builders, commercial tradespeople and the housing industry through our network of stores, trade centres, frame and truss sites and online. At Bunnings, our purpose is simple: we’re here to inspire people to have a red hot go! Whether that's backing our team to grow, supporting customers to take on new projects, or helping communities make a real difference. By joining our passionate and diverse team, you will be part of a culture that encourages you to roll up your sleeves and build something great together. If you’re ready to have a go, apply today. Work Location: Hawthorn East, Australia Availability: Full time

Job Title: Data Engineer Company: NTT DATA Job Category: Machine Learning Roles & Responsibilities: Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Working with a range of enterprise customers, you will develop robust data pipelines, data models and lakehouse solutions using Microsoft Azure and Microsoft Fabric technologies. Key Responsibilities ------------------------ * Design and develop scalable data pipelines and ELT/ETL processes. * Build and maintain data platforms using Microsoft Fabric and Azure services. * Develop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric. * Implement data integration solutions across cloud and on\-premises data sources. * Design and optimize data models to support analytics, reporting and AI initiatives. * Develop and maintain data transformation processes using SQL, Spark and Python. * Implement data quality, governance and security controls. * Monitor and optimize platform performance, reliability and cost efficiency. * Collaborate with architects, analysts, data scientists and business stakeholders to deliver data\-driven outcomes. * Support CI/CD implementation and automated deployment practices. NTT DATA is a $30\+ billion business and technology services leader, serving 75% of the Fortune responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with Work Location: Melbourne, Australia Availability: Full time

Job Title: Head of Data Science and IT Company: Centaur Institute Job Category: Machine Learning Roles & Responsibilities: About the role We are seeking a Head of Data Science and IT to lead the Institute's technology, data and analytics function. The role owns our clinical research platforms, data infrastructure and applied AI work, and turns clinical and biomechanical data into tools that surgeons, clinicians and researchers use every day. It is also a research role: you will design and conduct studies, publish in peer\-reviewed scientific journals and present findings at national and international conferences. Key responsibilities 2\. Lead research in data science and biomechanics: design and conduct clinical and laboratory studies, publish findings in peer\-reviewed scientific journals and present them at national and international conferences. 3\. Lead, recruit and develop a multidisciplinary team of software engineers, data scientists and data operations staff. 4\. Own the design, development and operation of in\-house cloud platforms for clinicians and patients, supporting data capture, outcome tracking and reporting, with a focus on reliability, security and usability. 5\. Manage IT infrastructure, cloud environments, systems integration and vendors, including clinic systems and laboratory data sources (force plates, motion capture, isokinetic and wearable sensors). 7\. Build and maintain clinical databases and registries, with reliable data pipelines, quality assurance and integration of external data sources. 8\. Develop and validate statistical, machine learning and causal inference models on registry and biomechanical data to inform treatment, rehabilitation and return\-to\-sport decisions. 9\. Lead applied AI projects on clinical and biomechanics data, from concept and model development through validation to deployment in clinical and research workflows. 11\. Manage technology budgets, project priorities and delivery timelines, working closely with clinicians, researchers, leadership and external partners to understand their needs and deliver solutions that meet them. Work Location: In person Work Location: Richmond South, VIC, Australia Availability: Full time

Job Title: Tech S and T-AI Engineer-ISR-Senior-GDSF02 Company: EY Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Lead and execute AI/ML assessments to evaluate current\-state analytics, automation, and AI maturity across client organizations. * Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption. * Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies. * Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures. * Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks. * Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria. * Lead proof\-of\-concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance. * Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks. * Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery. * Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients. Work Location: Trivandrum, Kerala, India Availability: Full time

Job Title: Senior_Expert (AI_Engineering) Company: Novartis Job Category: Machine Learning Roles & Responsibilities: Relocation Support: Yes Imagine shaping how breakthrough medicines are discovered by bringing cutting\-edge AI from concept to real\-world application. As a Senior Expert in AI\-Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes. ### About the Role Key Responsibilities Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture Division Biomedical Research Business Unit Information Technology Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS \= IN010\) Novartis Healthcare Private Limited Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No ### Accessibility and accommodation Work Location: Telangana, India Availability: Full time