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: Sydney, New South Wales, Australia Availability: Full time
Job Title: CSIRO Postdoctoral Fellowship in Aquaculture Genetics Company: CSIRO Job Category: Machine Learning Roles & Responsibilities: Role highlights * Advance aquaculture breeding through genetics, genomics and data science * Develop innovative tools to guide breeding decisions across generations * Collaborate on supporting a resilient, sustainable aquaculture industry The opportunity CSIRO Early Research Career (CERC) Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years relevant research experience. These Fellowships aim to develop the next generation of future leaders of the innovation system. Help shape the next generation of aquaculture breeding. In this postdoctoral role, you’ll combine quantitative genetics, genomics, optimisation and data science to develop breeding strategies for high\-performing, resilient and adaptable populations across future generations and diverse production environments. Your research will integrate multi\-objective optimisation, Look\-Ahead Genomic Selection, genotype\-by\-environment\-by\-management modelling and haplotype stacking to guide selection and mating decisions. Working with a collaborative, multidisciplinary team, you’ll translate your research into practical decision\-support tools that help breeders balance genetic gain, resilience, adaptability, sustainability and genetic diversity. With scientific, technical and industry support, you’ll develop new ideas, build your research capabilities and deliver outcomes with practical value for the aquaculture industry. Your high\-level duties will include: * Develop and evaluate next\-generation quantitative genetic and genomic methods for aquaculture breeding, including multi\-trait, multi\-environment and G×E×M prediction. * Develop multi\-objective breeding optimisation approaches that balance genetic gain, resilience, sustainability, profitability and genetic diversity. * Develop and test Look\-Ahead Genomic Selection and haplotype\-stacking approaches to improve long\-term breeding outcomes across generations. * Build simulation and optimisation frameworks to evaluate breeding strategies under changing environmental, disease, management and production scenarios. * Integrate genomic prediction, optimisation, mate allocation and look\-ahead decision methods into practical breeding decision\-support tools. * Validate the methods using simulated and real aquaculture datasets and assess their transferability across species and production systems. * Develop reproducible research software, computational pipelines and technical documentation. * Publish and communicate research findings, contribute to collaborative research and industry engagement, and support future research and funding opportunities. Role particulars Tenure \& work schedule: Specified term of 3 years, Full\-time Please note: To be eligible for this role you must have no more than 3 years (or full\-time equivalent) of relevant research experience. * Strong knowledge of quantitative genetics and/or genomic prediction. * Demonstrated expertise in statistical modelling and computational analysis. * Strong programming skills in at least one scientific programming environment such as R, Python or C\+\+. * Experience analysing large genetic, genomic or biological datasets. * Develop novel algorithms for multi\-stage and long\-term breeding decision optimisation. * Design and implement scalable computational methods capable of analysing large genomic and phenotypic datasets. * Apply advanced statistical learning, machine learning and artificial intelligence approaches where appropriate to improve prediction and decision\-making performance. * Develop efficient software implementations using modern programming practices, parallel computing and reproducible research workflows. * Evaluate optimisation and prediction methods under uncertainty using simulation\-based experimentation and sensitivity analysis. * A record of high\-quality scientific publication appropriate to career stage. * Demonstrated ability to work effectively within collaborative and multidisciplinary research teams. * Strong scientific writing, communication and organisational skills. For full details about this role, please review the Position Description. Setting you up for success We are committed to providing a recruitment process that is fair, equitable and accessible to everyone. We recognise that it may be helpful for us to adjust our process to make it equitable for your individual situation. Please contact Laura Mason via Careers.Online@csiro.au and let us know how we can support you. How to apply Please apply online and submit a CV and cover letter (maximum 2 pages) that demonstrate your motivation and ability to meet the selection criteria of this role. Work Location: Hobart, TAS, 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, Australia Availability: Full time
Job Title: AI Engineer Company: Vivanti Consulting Job Category: Machine Learning Roles & Responsibilities: We are home for talented technologists who want more and are looking to take their career to the next level by through more learning, more variety, more support and more chances to do meaningful work. * A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills. Support growth of our UK\&I business. * Access global businesses: Work with some of the world's biggest brands. * IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast\-track your success on projects. * All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS, Anthropic, OpenAI, Nvidia, Mistral \- you’ll use it, play with it and maybe even break it (responsibly). This extends to coding tools such as Claude Code, Cortex Code, Gemini CLI and OpenAI’s Codex. * Progress that’s transparent: Annual reviews based on 360° feedback, just clear goals, solid feedback and real growth. No politics, and no guesswork. * Kudos and rewards: We celebrate wins, reward impact and offer long\-term incentives. * Leadership who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end. * Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more. * Real connection: High\-energy team that values genuine relationships. Expect regular team socials, annual offsites, and plenty of opportunities to connect beyond your day\-to\-day work. * Building production\-grade software using Python and/or SQL, with an understanding of maintainable application and data\-system design. * Developing, evaluating and improving machine\-learning and generative\-AI solutions, including LLM\-powered workflows, retrieval\-augmented generation, agents, model evaluation and observability. * Working with modern AI model providers and open\-source models, and making sound choices around quality, latency, cost, safety and privacy. * Designing data pipelines and working with structured and unstructured data, including data warehousing, orchestration and vector search where relevant. * Deploying and operating AI or ML workloads in cloud environments, with familiarity in areas such as containerisation, infrastructure automation, monitoring and security. * Collaborating with product, data and engineering teams to turn ambiguous business problems into useful, reliable solutions. * Communicating technical trade\-offs clearly and contributing to engineering standards, documentation and knowledge sharing. Perks \& Benefits Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing \- professionally and personally. * Mentoring Program – with a Senior Support Lead * 360° Progress Reviews – honest feedback, not fluff * Guilds \& Regular Training – learn from your peers * Paid Certifications – across all major technologies * Hackathons \& Innovation Days – challenge yourself, build cool stuff * Kudos \& Recognition Programs – great work doesn’t go unnoticed * Socials \& Team Days – Book Club, Data \& Drinks, Team Building days, and more Work Location: Canberra, Australian Capital Territory, Australia Availability: Full time
Job Title: AI Engineering Lead Company: McMillan Shakespeare (MMSG) Job Category: Machine Learning Roles & Responsibilities: As the AI Engineering Lead in our business you will design, develop, deploy and support secure, scalable and responsible AI solutions that deliver measurable business value. The role combines software engineering, machine learning, generative AI and automation to build AI products, Co\-pilots agents and intelligent workflows. Working across business and technology teams, the AI Engineer translates priority opportunities into production\-ready solutions and supports adoption, monitoring and continuous improvement across the AI lifecycle. At MMS clear expectations help our people Be the Difference. Your key responsibilities in this role will include: * Design, build, test and deploy AI, machine learning and generative AI solutions aligned to business priorities and approved architecture. * Develop Co\-pilot, AI assistants, agents and intelligent automation that improve customer and employee outcomes, productivity and decision\-making. * Translate business problems into practical AI use cases, technical requirements, solution designs and delivery plans. * Build retrieval\-augmented generation solutions, prompt and orchestration patterns, APIs and integrations with enterprise applications and data platforms. * Partner with Data Engineering to source, prepare and manage reliable data for AI solutions, including appropriate quality, access and lineage controls. * Apply software engineering, DevOps and MLOps practices including version control, automated testing, CI/CD, deployment, observability and support documentation. * Work with Cyber Security, Privacy, Risk and AI Governance stakeholders to ensure solutions meet organisational policies, standards and regulatory obligations. To be considered for this role you will have: * Strong culture and the support of a values\-based recognition program * Novated leasing benefits and discounts * 12 weeks paid parental leave * Comprehensive learning and development opportunities to support your career growth * Sonder digital wellbeing platform , providing personalised support 24/7, plus annual flu vaccinations * Default Income Protection Insurance reimbursed for members of the MMS Default Super Fund * Exempt Employee Share Plan * Volunteer leave \& Career break * MMS Rewards program Work Location: Melbourne, Victoria, 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: Sydney, New South Wales, Australia Availability: Full time
Job Title: Staff Software Engineer Company: Commonwealth Bank of Australia Job Category: Machine Learning Roles & Responsibilities: * Help establish reusable AI\-powered document intelligence capabilities, accelerate intelligent automation and make it easier for teams to safely introduce new document types and use cases * Move AI beyond experimentation into trusted, scalable production services that materially improve how documents are processed across the organization Strengthen engineering capability and influence the broader technical direction of Document Management * You’ll operate as a trusted technical leader, working alongside senior technology leaders, architects and engineering peers to solve complex problems, influence technical direction and establish engineering patterns that can be reused at scale. The Document Management Crew is transforming how documents are captured, understood, processed and managed across the organisation. You will provide deep technical leadership as we build the next generation of intelligent document services. * Partner with senior technology leaders, architects, Staff and Principal Engineers and other engineering leaders to shape technical strategy, architecture and engineering standards across Document Management and adjacent technology domains * Lead the technical design of AI\-powered Intelligent Document Processing capabilities * Engineer solutions for document classification, information extraction, validation and transformation * Apply Generative AI, LLMs, machine learning and document intelligence to complex document\-processing problems * Establish reusable engineering patterns for prompt engineering, structured extraction, evaluation, confidence scoring and human\-in\-the\-loop processing * Take AI solutions from experimentation through to resilient, production\-ready services, while establishing appropriate AI guardrails, monitoring and engineering controls * Act as a trusted technical peer, bringing deep AI and engineering expertise to complex cross\-domain decisions and helping establish reusable patterns that can scale across the organisation Mentor and support engineers, helping uplift AI and software engineering capability across the crew. * 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: Eveleigh, NSW, Australia Availability: Full time
Job Title: Senior Consultant - GCP AI/ML Engineer - Baseline | Brisbane Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Department: Technology \& Transformation Design, develop and deploy AI/ ML, and intelligent agent solutions on Google Cloud Platform (GCP). About the GCP AI/ML Engineer role Based in Brisbane, you will join our AI \& Data practice as a Senior Consultant and work across the full AI and machine learning lifecycle, from opportunity identification and solution design through to deployment, monitoring and continuous improvement. You will use Google Cloud technologies, including Vertex AI and Gemini, to build practical, secure and scalable solutions for complex client environments. You will collaborate with data scientists, data engineers, architects, product teams and business stakeholders to identify valuable AI and ML opportunities and translate them into production\-ready solutions. Your work may include preparing data, developing models and algorithms, building AI model, training models, monitoring performance and communicating technical decisions to stakeholders. Design, develop, train, test and deploy AI/ML solutions on GCP. Develop BigQuery and BigQuery ML, Auto ML, custom models, algorithms and data features using Python / R and relevant machine learning libraries. Use Google Cloud Gemini Enterprise Agent Platform (Vertex AI) for model development, training, evaluation, deployment and monitoring. Build/Support automated deployment, testing and monitoring practices for AI and ML solutions. Monitor model performance, data drift, quality, cost and operational outcomes, and implement continuous improvements. How this role brings our table\-stakes behaviours to life Our core behaviours guide how we work: Be Curious, Reuse and Improve, Validate and Elevate, Reinvent Delivery, and Show, Don't Tell. In this role, you will explore emerging AI and ML techniques, build working solutions, validate outcomes with evidence, reuse proven patterns and help teams deliver measurable client value. Our AI \& Data team brings together specialists across Australia who combine deep technical expertise with strong business insight. We work with public and private sector clients to design and implement advanced analytics, cloud data, machine learning and Generative AI solutions. You will work alongside AI engineers, data scientists, data engineers, architects and client teams, with access to Deloitte's broader alliance ecosystem and delivery capabilities. Understanding of MLOps, model evaluation, monitoring, security, privacy and responsible AI practices. We value in\-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities. We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market\-leading parental leave and return to work support package. Work Location: Brisbane, QLD, 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, Australia Availability: Full time
Job Title: Software Engineer - Machine Learning Company: REA Group Job Category: Machine Learning Roles & Responsibilities: Where the team fits in PropTrack is Australia’s leading source of property insights, digital valuation solutions, and predictive analytics. This role sits within our Data Science \& Analytics team, which is responsible for the development, deployment, and operations of internal and customer\-facing statistical, machine learning, and AI models. The team collaborates closely with a wide range of groups across the business, including Core Property Data, Mortgage Solutions, Consumer AI, Consumer Product \& Experience, Commercial and Mortgage Choice. What The Role Is All About * Design, code, test, and deploy machine learning pipelines using Python, SQL, Infrastructure as Code (IaC), AWS, and GCP. * Build innovative AI products using Generative AI, LLMs, and traditional machine learning techniques. * Prototype and spike out Proofs of Concept (POCs) to explore new ideas and evaluate their feasibility in collaboration with senior engineers. * Support data processes \- assist with ad\-hoc analysis, automated dashboards, and self\-service reporting tools so that everyone gets a good sense of the state our data. * Analyse and produce data coverage and quality statistics across internal and external data sets to provide a high level of awareness across multiple teams. * Following agile software development practices such as test\-driven development, continuous delivery and pair programming. * Sharing responsibility for all operational aspects of the software that we build, in support of our “you build it; you run it” philosophy where dev\-ops is a part of everyday life. * Learning –we are constantly learning together, mentoring each other and striving to do things better Work Location: Sydney, New South Wales, Australia Availability: Full time
