Machine Learning Engineer

Machine Learning EngineerLocation: Sydney, NSW$140,000 - $200,000 Dependent on Experience About the CompanyJoin a forward-thinking, innovation-led organisation based in Sydney that is investing heavily in AI and machine learning to solve how financial data is processed and understood.Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale.Apply Now - this is a fun vibrant team using the latest AI technology to drive significant business impact!This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily.Key RequirementsCandidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in:Natural Language Processing (NLP), information extraction, and working with large language models (LLMs)Python programming and major ML frameworks such as PyTorch or TensorFlowMLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflowsUtilising AI-enhanced development environments and tools to streamline experimentation and deploymentCross-functional collaboration with engineering, product, and business stakeholdersAgile methodologies and fast-paced product development environmentsExposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker would be advantageous.Role OverviewThe successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes:Developing models for classification, entity recognition, summarisation, and retrievalCustomising and refining LLMs for specific business applications, ensuring optimal performance and scalabilityCollaborating with data engineering teams to prepare and transform large datasets for model trainingBuilding robust ML services with monitoring, retraining, and performance tracking capabilitiesEnhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systemsPartnering with product and engineering teams to embed ML capabilities into core platformsMachine Learning EngineerLocation: Sydney, NSW$140,000 - $200,000 Dependent on Experience