Top Machine Learning Jobs in Sydney

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.

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.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

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.

The Manager of Cybersecurity Products will drive growth by developing strategies, managing the product portfolio, and executing product enhancements across the ANZ region.

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.

Build and maintain ML platform infrastructure to enable model creation, training, deployment, and monitoring. Collaborate with product teams to curate datasets, fine-tune LLMs, implement MLOps/CI-CD pipelines, optimize performance, and deliver scalable, fault-tolerant ML systems used across Atlassian products.

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.

Serve as the product specialist for Zero Trust Networking across Australia and New Zealand, driving adoption and revenue for ZTNA, SD-WAN, and branch solutions. Collaborate with solution engineers and account teams to gather requirements, create value propositions, close deals, implement account-based strategies, and expand partner and customer relationships. Operate in a hybrid model (Sydney/Melbourne) and travel extensively as needed.

Develop full-stack web interfaces and backend architecture for neurotechnology applications; implement neural signal processing pipelines (EEG), integrate machine learning models for neurophysiological data analysis, maintain acquisition/processing software, participate in code reviews, document technical processes, and work independently within a small, research-driven startup.

Lead and grow a high-performing engineering team, owning delivery and development practices. Balance people leadership (~60% time) with hands-on system design and production-quality coding (~40%), focusing on large-scale data ingestion, geospatial processing, simulation engines, and platform vs application trade-offs while partnering closely with Product and customer-facing teams.

Lead and embed Computational Design across projects and regions by developing workflows, automation, and AI-enabled tools. Provide technical leadership, mentor specialists, coordinate resources, create standards and training, collaborate with BIM/Sustainability/IT, and represent the practice in industry engagement and research.

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.

Design and evolve secure, scalable enterprise data architectures on modern platforms (AWS, Snowflake). Lead data modelling, integration and governance, enable analytics/AI, provide technical leadership and partner with business and technology teams to create data products and standards.

Own client success for Emiri deployments by triaging issues, identifying root causes, coaching commercial teams, configuring and QA-ing client models, testing fixes, and translating user feedback into product enhancements and clear guidance for users and development.

Lead FP&A for Canva's technical cost base (cloud, compute, GPUs, data, AI). Build capacity and driver-based models, own cost allocation and optimisation, partner with Engineering/Product/ML, drive reporting, planning cadences, capital allocation, and improve financial processes. Manage and grow a finance team and act as a strategic partner on infrastructure and AI investment decisions.

Lead end-to-end solution architecture for data, analytics and AI initiatives; translate enterprise strategy into delivery-ready designs; embed security, privacy, governance and responsible AI; guide cloud data platforms, integration, pipelines, modelling and serving; manage architectural risk, technical debt and roadmaps; and influence stakeholders across a complex regulated organisation.

The Senior Research Officer will lead a causal target validation program in genomics, executing experimental strategies and collaborating to derive insights linking genetic variations to immune functions.

Partner with sales and cross-functional teams to win deals by designing and demonstrating Snowflake-based data and AI solutions. Lead discovery, workshops, proofs-of-concept, and technical presentations; translate business needs into architecture and implementation patterns; build trusted relationships with technical and executive stakeholders to drive adoption and long-term value.

Sell Salesforce Agentforce and Data 360 solutions to enterprise customers by sourcing and qualifying opportunities, conducting technical discovery, crafting POVs, collaborating with cross-functional teams, and demonstrating how AI-driven customer engagement and Data 360 deliver scalable business impact. Meet and exceed technical sales targets while translating complex AI capabilities into business outcomes.

Lead the FICO–Accenture alliance in ANZ to grow ARR and CoE through consultative selling, joint value propositions, pipeline management, co-marketing, and end-to-end deal execution. Build executive relationships, productize repeatable IP, oversee joint business plans, and drive revenue via channel and direct sales while representing FICO at industry events.

Lead presales for enterprise FP&A/EPM deals: craft AI-enabled demos and POCs, translate technical capabilities into business value, partner with account executives, and advise on integrations with ERP/CRM to drive adoption and ROI.