Top Machine Learning Jobs in Sydney

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.

Interprets investment guidelines, configures and tests post-trade compliance rules, investigates potential violations, validates data, resolves exceptions, and prepares audit-ready client and regulatory reports. Partners with clients, investment managers, controls, audit, and risk teams on issue resolution, onboarding, process improvements, and operational risk reduction across equities, fixed income, derivatives, and complex assets.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Lead enterprise presales strategy for complex finance automation solutions. Conduct executive discovery workshops, deliver value-based demonstrations, architect proof-of-value scenarios, build ROI models, and lead RFPs and competitive proofs of concept. Serve as a trusted advisor to Office of the CFO stakeholders, mentor solution consulting teams, and promote AI-first approaches involving machine learning, automation, and agentic AI.

Leads Atlassian’s global detection and response organization, overseeing security strategy, detection engineering, 24x7 incident response, threat intelligence, hunting, security operations, and automation. Builds cloud-native detection capabilities, improves telemetry and security data platforms, responsibly applies ML and LLMs, and establishes governance, metrics, compliance readiness, executive communications, and customer trust across global teams.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

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.

Develop technical partnerships with system integrators and cloud providers, create enterprise GenAI solutions and reference architectures, support strategic customer deals, lead technical enablement and developer events, troubleshoot complex issues, and provide product feedback. The role requires extensive customer-facing architecture experience, cloud expertise, familiarity with LLM tools, and strong communication skills.

Conduct interdisciplinary digital humanities research using AI-powered text analysis, bibliometric methods, machine learning, and large language models. Curate and structure text corpora from academic, media, and social sources; develop and evaluate classification pipelines; design prompting strategies; interpret results through philosophical and psychological frameworks; publish findings; and support open science through public code, data, and documentation.

Develop navigation algorithms, sensor-fusion strategies, and modeling capabilities that use quantum sensors in GPS-denied and contested environments. The role includes navigation signal processing, magnetic and gravitational map matching, noise suppression, field-trial planning and analysis on maritime and airborne platforms, and scientific software development in Python. The scientist will translate quantum sensor performance into practical navigation capabilities, collaborate with researchers, engineers, academic partners, and customers, and communicate findings through presentations, reports, and publications.

Serve as a pre-sales technical advisor for enterprise customers across India and APAC, designing scalable Claude and LLM solutions. Translate business needs into architectures, guide API and Claude for Work integrations, develop evaluation frameworks, deliver technical content, and support customers from discovery through deployment. Collaborate with Sales, Product, and Engineering teams, share integration insights, and stay current with LLM developments while promoting safe and reliable AI adoption.

Leads complex enterprise customer engagements as a senior technical authority for data and AI platforms. Drives consumption strategy, executive relationships, architecture engagements, competitive positioning, and platform adoption. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors solution architects; and contributes to technical thought leadership. Requires expert Databricks knowledge, coding proficiency, enterprise architecture expertise, and strong executive influence.

Develop agentic workflows that automate audio machine learning research, including data preparation, training, evaluation, hyperparameter tuning, benchmarking, regression testing, experiment tracking, and reporting. Build reliable tools for GPU scheduling, artifact management, reproducible execution, and LLM-agent integration with research resources. Collaborate with audio researchers to create reusable workflows, dashboards, and reports for real-time audio processing algorithms.

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.

Design, build, deploy, and operate evaluation and optimization systems for Rovo AI agents. Develop offline benchmarks, online quality metrics, model-based judges, and production monitoring. Use evaluation results to improve prompts, retrieval, tool use, routing, quality, cost, and latency. Lead projects from problem definition through delivery, contribute to technical reviews, coach engineers, and communicate ML trade-offs to stakeholders.

Lead the technical direction for AI agent quality at Atlassian Studio. Design evaluation architecture, benchmarks, datasets, observability, experimentation, regression gates, and drift detection for production agents. Improve tool use, routing, task success, and model quality while balancing cost, latency, reliability, privacy, and access control. Partner across product, data science, AI teams, and model providers, mentor engineers, and deliver measurable improvements to agentic systems.

Leads engineering for customer-facing agentic AI products from discovery through production. Establishes technical direction, architecture, evaluation frameworks, quality and release standards, data strategies, and responsible AI practices. Manages senior leaders across AI engineering, data science, and software engineering while partnering with Product, Design, Security, Architecture, and external AI providers. Ensures AI products balance accuracy, latency, reliability, safety, privacy, auditability, and cost.

Lead engineering for MYOB’s customer-facing agentic AI products from discovery through production. Set technical direction, architecture, evaluation standards, and responsible AI practices while balancing quality, latency, reliability, safety, and cost. Lead multidisciplinary teams across AI engineering, data science, and software engineering; develop senior technical leaders; and partner with Product, Design, Security, Architecture, and external AI providers to deliver scalable AI experiences.

Design, develop, deploy, and support AI-powered applications and services using generative AI, machine learning, cloud platforms, APIs, and data pipelines. Translate business needs into scalable architectures, optimize AI systems, troubleshoot performance issues, and incorporate security, privacy, governance, and responsible AI practices. Collaborate with technical and business stakeholders, evaluate emerging technologies, contribute to standards, and mentor team members.

Leads the creation of dentsu’s AI Engineering discipline and portfolio of AI-driven marketing products. Responsibilities include defining architecture, engineering standards, evaluation practices, guardrails, and technical strategy; designing and deploying production-ready AI systems, LLM applications, agentic workflows, and intelligent automation; influencing stakeholders; and shaping long-term AI platform capabilities and strategy.

Leads the development and deployment of commercial AI products, platforms, LLM applications, agentic workflows, and intelligent automation. Establishes AI engineering standards, architecture patterns, evaluation practices, and guardrails across dentsu. Shapes the AI engineering function, guides technical strategy, manages complex initiatives from strategy through optimization, and translates emerging technologies into scalable business outcomes.

Lead enterprise AI discovery and validation across Australia, identifying high-value private AI use cases and assessing their technical feasibility, data readiness, governance, security, and production potential. Facilitate technical workshops with customers and ecosystem partners, develop proofs of concept and reference architectures, define engineering requirements, and hand qualified opportunities to forward-deployed engineering teams. Build reusable AI patterns, establish regional domain expertise, and communicate effectively with technical and executive stakeholders.

Leads end-to-end AI transformation engagements, including solution analysis, design, implementation, project management, and client delivery. Partners with C-suite stakeholders to translate business goals into practical AI solutions, manages cross-functional teams, shapes project methodologies, identifies account expansion opportunities, and mentors junior colleagues. The role requires strong AI/ML business fluency, strategic thinking, communication, and consulting experience in digital transformation or AI advisory.

Leads enterprise change governance and adoption for Data and AI products across merchandising, operations, customer, and corporate domains. Oversees change managers and vendors, establishes readiness and adoption frameworks, tracks value realization, integrates change into agile delivery, and develops enterprise AI literacy with People & Culture. Engages executives and product leaders to embed sustainable data- and AI-enabled ways of working.

Drive go-to-market execution and quota attainment for Fortinet’s AI security solutions across Australia. Build pipeline with account teams and partners, lead enterprise discovery, presentations, workshops, demonstrations, and strategic selling, and close complex multi-stakeholder deals. Advise customers on AI governance, runtime protection, guardrails, red-teaming, and shadow AI. Train sales teams and channel partners while engaging C-level security and AI decision-makers.