Top Machine Learning Jobs in Sydney

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

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

Lead AI and automation initiatives across sales and operations: identify opportunities, build business cases, translate requirements, implement AI/automation solutions (Claude, Copilot, ChatGPT), integrate with engineering and data teams, redesign workflows, measure performance, and ensure governance and responsible AI alignment.

Lead net-new enterprise sales within Banking & Financial Services by owning full sales cycles, developing territory and pipeline, co-selling with hyperscalers and partners, and positioning Iron Mountains digital portfolio (AI, intelligent document processing, workflow automation) to deliver measurable ROI and close high-value deals.

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.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Evaluate and rank AI-generated Computer Science content, craft domain-specific prompts and questions, assess technical accuracy and reasoning, and provide expert feedback to improve generative AI models. Work remotely as a freelance contributor on an AI training project, applying PhD-level technical expertise across advanced CS domains.

Lead end-to-end solution architecture for data, analytics and AI initiatives; translate enterprise strategy into scalable designs; embed security, privacy, governance and responsible AI; provide hands-on leadership across data platforms, integration, modelling, serving and reporting; guide teams on design patterns, risks and architectural roadmaps in a regulated environment.

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.

Founding APAC Commercial Counsel based in Sydney supporting sales across the region. Lead and negotiate complex technology agreements, build scalable contract frameworks, advise on APAC regulatory and AI-specific legal risks, and shape regional legal processes and playbooks while partnering with cross-functional and external stakeholders.

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.

As a Data Analyst, you'll deliver AI and ML solutions, analyze business requirements, support production deployments, and present findings to stakeholders.

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.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

The Director of AI Engineering will lead AI capabilities, including development and evaluation of AI systems, while managing a team and collaborating with cross-functional departments.

The Senior Data Scientist will tackle business challenges using advanced analytics and machine learning, developing models and solutions collaboratively within teams while ensuring timely project delivery and documentation.

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.

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.

Design, build, and ship production ML systems for content and template generation. Own full ML lifecycle including data pipelines, training, deployment, monitoring, experimentation, and cross-functional collaboration to scale element and template generation.

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.

The MLOps Engineer will lead the development of Akuna's machine learning infrastructure, collaborating across teams to enhance ML projects through design, maintenance, and operational improvements.