Top Machine Learning Jobs in Sydney

Supports sales opportunities from qualification through close by gathering customer networking requirements, contributing to technical solution design, adapting solutions, advising on products, preparing proposals and presentations, and maintaining customer and partner relationships. The role is intended for recent computer science, software engineering, or network engineering graduates with knowledge of networking, cloud computing, AI, machine learning, data analytics, sustainability, and data center infrastructure.

Manage strategic ecommerce accounts, driving growth, product adoption, partner health, and expansion across multiple products. Coordinate product, commercial, operational, and technical stakeholders to execute account plans, mutual action plans, joint business plans, and QBRs. Build executive relationships, navigate high-stakes client conversations, use data and AI-enabled tools to identify opportunities, and improve decision-making and operating processes across concurrent workstreams.

Build and deploy Power Platform workflow automations and AI-enabled solutions, including autonomous agents, integrations, and custom Python components. The role gathers requirements, prototypes, tests, deploys, optimizes, and maintains enterprise solutions while collaborating with stakeholders and governance teams. It also requires explaining technical concepts to nontechnical audiences and supporting solutions in regulated enterprise environments.

Design end-to-end product experiences for complex, data-rich infrastructure software. Conduct user research, create workflows, wireframes, prototypes, and polished interfaces, and collaborate with product managers and engineers from discovery through delivery. Improve usability, contribute to the Nitro Design System, explore future product concepts, and communicate design rationale to technical and non-technical stakeholders.

Develop quantum control algorithms, statistical filters, signal-processing methods, and simulations to improve optically pumped quantum magnetometer sensitivity and robustness. Apply Python-based software and analytics to field-deployed platforms, collaborate across theoretical and experimental teams, and communicate findings through presentations, technical reports, publications, and customer-facing materials.

Leads clinical research projects involving data cleaning, exploratory analysis, regression modeling, statistical testing, reporting, and stakeholder presentations. Manages clinical studies and site communications, supports regulatory data requirements and research databases, and collaborates with data scientists, engineers, and product specialists. The role also includes orthopedic modeling, radiological analysis, code repository maintenance, and mentoring interns.

Supports channel partners through technical demonstrations, proof-of-concepts, enablement, training, and pre-sales support. Owns technical success plans for strategic partners, develops partner evangelists, addresses deal roadblocks, gathers product feedback, and collaborates with field sales and product teams. Requires cloud, data security, networking, database, IAM, and partner-sales expertise, along with strong presentation and communication skills.

Supports enterprise IT operations through monitoring, automation, incident response, system requests, and first-level support. Configures monitoring software, schedulers, alerting thresholds, infrastructure objects, and APIs while creating PowerShell scripts. Maintains documentation, improves operational efficiency, and supports the F5 Obsolescence Program across Windows, Linux, virtual machine, container, network, application, and database environments. The role is hybrid in Sydney and may require occasional work outside standard business hours.

Lead APAC shareholder services and client trading operations, manage a geographically distributed team, ensure regulatory and control compliance, drive operational resilience, transformation, automation, and stakeholder alignment with global SHS standards.

Use data science, analytics, and emerging technologies to improve customer retention and commercial decision-making for life insurance portfolios. Build scalable data assets, dashboards, reporting solutions, statistical and machine learning models, and automated cloud-based analytics processes. Translate complex analysis into actionable recommendations for technical and non-technical stakeholders while supporting responsible, compliant data and AI practices.

Leads AI/ML engineering teams responsible for property valuation models, an enterprise AI platform, and shared data foundations. Sets technical direction, develops platform roadmaps, oversees production ML training and deployment, and owns pipelines, warehouse infrastructure, monitoring, data products, reliability, scalability, and cost. The role requires hands-on generative AI, MLOps, cloud, data engineering, and engineering leadership expertise.

Unpaid, part-time internship offering hands-on mentorship in robot learning and imitation learning. Work ranges from setting up robot simulation frameworks, robot integration and human demonstration data collection, to designing and training ML algorithms and deploying models on robots. Remote theoretical work allowed; Sydney-based preferred for hardware testing.

Lead Anthropic’s go-to-market strategy for digital-native businesses and startups across Australia and New Zealand. Build and manage a regional sales team, own pipeline, forecasting, consumption targets, customer acquisition, and account expansion. Develop startup ecosystem relationships, partner with cloud providers, collaborate cross-functionally on localized offerings, and represent ANZ priorities globally. The role requires extensive technology sales leadership, startup ecosystem credibility, consumption-based sales experience, and the ability to communicate technical products to varied stakeholders.

Serves as the primary technical and customer support contact for complex Azure issues and projects. Troubleshoots mission-critical applications, conducts health checks and root-cause analysis, manages escalations, advises on Azure configurations and deployments, and communicates technical issues to varied audiences. Synthesizes customer feedback, identifies product and knowledge gaps, advocates for platform improvements, and partners with engineering, product, field, and support teams to improve reliability and customer experience.

Develop production-ready machine-learning solutions for propensity modeling, personalization, growth, retention, forecasting, and experimentation. Responsibilities span problem framing, feature engineering, model development, deployment, monitoring, retraining, and lifecycle maintenance. The role collaborates with engineers, product managers, analysts, and business stakeholders, while improving MLOps, data quality, model monitoring, and technical documentation. Generative and agentic AI may also be applied where appropriate.

Lead and grow the Experience Platform engineering team while remaining hands-on with system architecture, production code, UX, performance, rendering, APIs, and shared components. Own delivery, development practices, technical direction, and collaboration with Product, Design, Customer Success, Sales, and other engineering leaders. Build scalable experiences for complex workflows, large 3D network models, rich dashboards, and expert users across desktop and mobile.

Lead the strategy and delivery of Data, AI, and analytical products across Endeavour Group’s retail media ecosystem. Responsibilities include designing product roadmaps, leading cross-functional squads, prioritizing backlogs, aligning technical and business stakeholders, managing product P&Ls, evaluating vendors and build-versus-buy options, and balancing dependencies with long-term D&AI strategy.

Leads enterprise technology risk management across frameworks, controls, reporting, incident response, vendor assessments, and governance. The role embeds risk practices, develops KRIs and KPIs for executives and the board, manages technology risk committees, supports mitigation and issue remediation, and addresses risks from AI and emerging technologies. It also drives controls automation and promotes innovative risk management practices within a financial services environment.

Lead portfolio intelligence for Cochlear’s R&D organization by developing dashboards, reporting frameworks, KPIs, data models, forecasts, and scenario analyses. Integrate data from multiple sources, improve governance and reporting processes, and apply AI, automation, and advanced analytics to support investment, resource allocation, prioritization, and portfolio health decisions. Partner with cross-functional teams and senior leaders to deliver trusted insights and influence strategic planning.

Develop and maintain RecordPoint SaaS solutions across the software development lifecycle. Responsibilities include designing, coding, testing, documenting, troubleshooting, supporting cloud and on-premises deployments, and collaborating with engineering and customer teams. The role involves learning the company’s architecture, development tools, deployment models, and testing practices while contributing to continuous improvement and technology adoption.

Leads customer-facing technical engagements across the sales and customer lifecycle. Responsibilities include discovery, solution architecture, tailored demonstrations, API and GIS integration, onboarding, technical support, expansion strategy, and executive relationship management. The role partners with Sales, Product, Engineering, and Survey Operations, represents the company at industry events, develops thought leadership content, and mentors junior Solutions Engineers.

Own technical sourcing strategy across APAC for Engineering and Applied Science hiring. Build talent pipelines, conduct market mapping, engage specialized candidates, analyze funnel metrics, provide market intelligence, and partner with recruiters and hiring managers. The role requires advanced sourcing expertise, technical understanding, AI-assisted sourcing experience, strong stakeholder communication, and the ability to manage complex searches across multiple markets.

Supports B2B lead generation through events, webinars, content, email, and social media. Tracks marketing-qualified leads, meetings, funnel conversion, and campaign performance while coordinating handoffs to sales and partnerships. Assists with event and webinar logistics, content creation, database and email marketing, social media, PR activities, and award submissions. Represents the brand externally and supports internal culture initiatives.

Lead enterprise Data and AI transformation engagements using Databricks across AWS and Azure. Define data strategies, roadmaps, governance frameworks, and modern Lakehouse architectures. Design AI-enabled data products using Mosaic AI, GenAI, RAG, Vector Search, MLflow, and agentic AI. Advise executive stakeholders, facilitate architecture workshops, support solution pursuits, and develop reusable architecture patterns for the Data and AI practice.

Own Neara’s global deployment engine, including digital-twin model building, QA, deployment operations, contractor management, delivery economics, and quality standards. Lead distributed teams across multiple regions, standardize and automate delivery processes, manage capacity and risk, develop regional leaders, and improve throughput, forecasting, utilization, margins, and on-time performance. The role requires technical credibility in complex SaaS delivery, strong vendor management, and regular international travel from Sydney.