Top Machine Learning Jobs in Sydney

Own advertiser demand revenue across ANZ by managing the full enterprise sales cycle, from outbound prospecting through complex closes. Build high-volume pipelines, multi-thread senior marketing stakeholders, manage named account territories, attend industry events, and partner with Customer Success on launches. Apply performance marketing expertise across ROAS, CPA, attribution, incrementality, and channel measurement. Collaborate with Product, Engineering, and Applied AI teams while using AI tools to improve research, sequencing, and sales operations.

Support development and backtesting of quantitative trading strategies: translate models to code, analyze data (including unconventional sources), and implement/monitor trading signals in live environments under senior mentorship.

Implement, configure, integrate and support InterSystems TrakCare using IRIS for Health across environments. Develop interface documentation, perform unit/system testing, manage installations/patches, troubleshoot performance, produce technical/training materials, liaise with clients and PMs, and participate in on-call and on-site activities. Provide technical guidance on networks, architectures, and data tasks.

As a Software Engineer Intern, you'll create tools for trading strategies, develop research platforms, and collaborate in small teams.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Lead engineer responsible for designing, developing, and maintaining secure, scalable payments production systems. Owns production troubleshooting, automation of recurring issues, code development and review, vendor evaluations, and driving engineering best practices across teams to improve operational stability.

Lead and coordinate change management for telecom and IS/IT infrastructure: chair CAB, record and assess change requests, manage change schedule and CMDB, ensure risk/rollback plans, drive compliance and continuous improvement, train stakeholders, and reduce incidents related to change.

11-week PhD internship developing, back-testing and implementing quantitative trading strategies. Build and improve mathematical models, translate algorithms into code, analyze unconventional data sources, and deploy signals in live trading while collaborating with senior researchers.

Lead and mentor engineers to design, build, and maintain scalable automation and onboarding systems. Implement AI/data-driven risk detection, collaborate with product/ops/compliance, drive architecture and reliability, and improve operational efficiency.

The Enterprise Account Executive will grow UpSlide’s APAC business by prospecting, building enterprise sales pipelines, conducting discovery, presenting solutions, developing mutual action plans, and closing complex B2B technology deals. The role manages procurement, commercial, and legal processes; collaborates with Sales, Marketing, RevOps, Product, and leadership; contributes to Singapore market strategy; and engages senior executives across long-term strategic opportunities.

Own Linktree’s production AI platform, including pipelines, model and prompt versioning, evaluations, monitoring, rollback, cost, latency, and reliability. Drive internal AI adoption through tooling, agent workflows, and enablement across Product, Engineering, Marketing, and Support. Establish practical governance for data handling and vendor risk, make build-versus-buy decisions, align AI investment with business priorities, and mentor engineers and analysts.

Develop machine learning and deep learning models that digitize electricity infrastructure from LiDAR, imagery, GIS, and vector data. Build scalable training, serving, QA, and monitoring pipelines; identify data and distribution drift; improve model deployment speed; and apply MLOps best practices. The role also involves defining ML strategies, solving ambiguous problems, collaborating asynchronously across functions, and mentoring junior engineers.

Leads computational biology and machine learning research on cancer cell dormancy and relapse. Develops deep learning pipelines, foundation models, single-cell trajectory methods, and multi-omic analyses integrating imaging, molecular, and clinical data. Coordinates international collaborations, supervises junior staff and students, manages computational infrastructure and reproducible pipelines, contributes to grants and publications, and provides strategic computational leadership across the AllClear consortium.

Develop and support AI-powered applications for financial advisers, clients, and internal teams. Build solutions using Python, LLMs, AI agents, machine learning, workflows, and data technologies. Participate in design, coding, testing, deployment, monitoring, troubleshooting, documentation, and continuous improvement while collaborating with engineers, data specialists, product teams, and business stakeholders.

Develop and productionize predictive models and AI solutions using large datasets and feature stores. Responsibilities include financial and valuation modeling, personalization, growth and retention analytics, model deployment and maintenance in the cloud, automation, MLOps improvement, stakeholder collaboration, documentation, and delivery of projects within schedule and budget.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Leads APAC product strategy and a regional Product Management team for AI-powered legal technology. Translates customer needs into scalable AI products, platform capabilities, and technical roadmaps; partners with Engineering, Data Science, UX, and global Product teams; guides AI use-case validation, model evaluation, governance, experimentation, delivery, metrics, and commercialization. Requires deep experience developing Agentic AI systems and launching AI-powered SaaS products in complex global organizations.

Own end-to-end implementation delivery for multiple enterprise utility customers, from contract signature through go-live, hypercare, and handover to Customer Success. Coordinate cross-functional internal teams and customer stakeholders, manage scope, milestones, dependencies, risks, resources, and change, and provide executive updates. Improve implementation processes, tooling, templates, and playbooks while reducing time to customer value.

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 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.

Own an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Embed KYC, transaction monitoring, privacy, limits, and licensing requirements. Apply AI responsibly with evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead the design and operation of enterprise AI control infrastructure, including policy enforcement, guardrails, auditability, monitoring, evaluation, assurance, and third-party oversight. Translate AI governance, risk, and policy requirements into scalable engineering controls and shared platforms. Partner with engineering, data science, risk, compliance, legal, and architecture teams to establish reusable control patterns, standards, and evidence-generation capabilities that enable safe, transparent, and sustainable AI adoption.

Develop and optimize satellite imaging operations, algorithms, and image-processing tools for non-Earth imagery. Responsibilities include improving image quality and mission success, extracting analytics from imagery and complementary data, collaborating with satellite operators, scaling reliable in-orbit operations, and evaluating new sensors and imaging techniques across orbits.

Owns high-impact ANZ strategic projects spanning commercial growth, customer expansion, partnerships, sales, and delivery. The role translates regional priorities into workstreams, milestones, dashboards, operating cadences, and repeatable playbooks. It resolves cross-functional blockers, improves sales-to-delivery execution, supports priority accounts and partners, and uses data, automation, and AI to improve regional performance. Success is measured through revenue retention, opportunity progression, partner contribution, delivery efficiency, and stronger operating leverage for regional leadership.

Own high-leverage product and technical initiatives from ambiguous problem definition through measurable delivery. Translate executive priorities into plans, align cross-functional teams, surface risks, and drive outcomes across product, engineering, data, AI, and commercial functions. Provide decision-ready recommendations to the CEO and CPO, improve operating cadences, establish ownership mechanisms, and use hands-on analysis, prototyping, code, data, and AI tools to unblock progress and increase organizational leverage.