Top Machine Learning Jobs in Sydney

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.

As a Strategic Sales Director, you will lead sales efforts, develop relationships with key executives, and drive significant transactions in Australia.

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.

Lead and execute Dataminr's Defence sales strategy across APAC: build strategic customer relationships, drive revenue growth, manage procurement and sales cycles, partner with cross-functional teams, mentor sales teams, and maintain accurate pipeline and forecasting in Salesforce.

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.

Define and execute the product roadmap for AI-driven on-chain monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, ensure timely delivery of features, and communicate roadmap progress to stakeholders to improve blockchain security offerings.

Lead global incident response and vulnerability analysis; deploy and configure SIEM and SOAR; perform forensic triage and threat hunting; develop automated playbooks and ML-based detection use cases; integrate cloud security (Azure/AWS/GCP); evaluate log correlations and advise on information security, risk, and privacy across the organisation.

As a Senior Software Engineer, you'll design and implement features related to digital twins, data abstractions, and structural analysis, leveraging machine learning and algorithms.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

The Solution Sales Executive will drive sales of FICO's platform in financial services, engaging with clients, managing relationships, and collaborating with internal teams to deliver solutions.

The Lead Metallurgist will oversee resource evaluation, audit geometallurgy models, liaise with teams, ensure quality control, and mentor junior staff.

The Lead Metallurgist will oversee mineral resource evaluation, ensure quality control, audit geometallurgical models, and provide technical leadership, focusing on optimizing mine operations through advanced modeling and collaboration with teams.

The Director of Business Development will lead business development and go-to-market initiatives in mining, leveraging industry connections to establish executive relationships and create opportunities for Stratum AI's solutions. Key responsibilities include market development, sales strategy creation, and pipeline development, targeting high-value clients and navigating complex sales environments.

Execute end-to-end outbound CRM campaigns (email, SMS, push): audience segmentation, QA, build, deploy and optimize lifecycle programs. Use automation, A/B and multivariate testing, machine learning/predictive modeling, and analytics to improve conversion and LTV. Collaborate with Data & Analytics, MarTech, product, media, and agencies to meet performance goals and extract insights for template and strategy optimization.

Lead Sales Finance for APJ as strategic partner to Sales leadership: own P&L, forecasting, budgeting, variance analysis, KPI tracking, deal desk support, financial modeling, and cross-regional finance projects to drive sales performance and operational improvements.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

Lead and grow a 5-7 person enterprise sales team across ANZ, drive new logo acquisition and account expansion, develop GTM and business plans, manage full sales cycle, recruit and coach future sales leaders, and exceed quarterly and annual targets.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

The role involves conducting research in machine vision for deep visual understanding and multimodal learning, developing deep learning methods, and publishing research findings.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.