40 AI Engineering jobs in Australia
Cloud & AI Solution Engineering Manager - Public Sector
Posted 4 days ago
Job Viewed
Job Description
Are you excited about leading teams to solve complex technical problems and drive digital transformation for customers? As a Cloud & AI Solution Engineering Manager at Microsoft, you will lead a team of Solution Engineers in empowering our enterprise customers to achieve more through Microsoft's cloud and AI technologies. In this role, you will model Microsoft's leadership principles of Model, Coach, Care - fostering a culture where your team members grow, succeed, and feel included.
As a manager of Solution Engineers, you will engage with key customer technical decision-makers, leveraging deep technical and industry knowledge to build credibility and ensure technical wins. The role includes orchestrating team resources, maximizing customer engagement impact, accelerating presales activities through deep technical expertise and thought leadership - as well as overseeing solution demonstrations, guiding customers through digital transformation, and identifying new technical and business trends. This is a chance to shape strategy, influence key decision-makers, and be at the forefront of cloud innovation.
**Responsibilities**
**Responsibilities**
+ Hire, coach, and develop a diverse team of Solution Engineers. Set clear goals, provide regular feedback, and support professional growth.
+ Foster an inclusive, high-performing team culture by leading with integrity, enabling success, and investing in people's aspirations and development.
+ Guide the team to design effective cloud solutions that address real business needs and deliver measurable outcomes.
+ Ensure quality and consistency by sharing best practices and encouraging collaboration across teams and functions.
+ Sales Accountability & Deal Acceleration: Own your team's contribution to Azure revenue targets. Lead technical strategy in deal reviews and account planning to convert technical progress into sales velocity. Instill strong pre-sales discipline, opportunity tracking, delivery on commitments, and adherence to sales methodologies.
+ Promote strong execution through disciplined opportunity management, clear accountability, and follow-through.
+ Align technical activities with business priorities by working closely with sales, partners, and other stakeholders to focus on what matters most.
+ Support innovation and solution excellence by coaching architectural design, prototypes, and pilots that accelerate customer adoption.
+ Encourage modern, consultative sales approaches to position solutions with credibility and insight.
+ Extend reach through partner collaboration, enabling engineers to work effectively with partners to deliver complete, scalable solutions and overcome challenges.
**Qualifications**
**Minimum Experience**
+ Australian citizen with the ability to obtain baseline security clearance.
+ 5+ years of people management experience in the technology industry, leading technical teams, ideally in pre-sales, consulting or engineering roles. Proven ability to coach talent, build skills and scale teams.
+ 8+ years of hands-on technical experience in cloud or enterprise software, with strong knowledge of Microsoft Azure (or equivalent platforms) across multiple domains. Broad exposure and adaptability are valued over deep specialisation.
+ Experience leading technical conversations with enterprise clients, from understanding requirements to presenting solutions and managing objections. Able to translate complex solutions into clear business value.
+ Experience developing technical strategies aligned to business goals, including coordination with cross-functional teams such as sales, marketing, engineering and partners.
+ Experience advising senior technical and executive stakeholders, with the ability to explain complex concepts in a clear, accessible way.
+ Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience. Postgraduate qualifications or cloud certifications are regarded highly, however not essential.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineering Manager - Public Sector
Posted 4 days ago
Job Viewed
Job Description
Are you excited about leading teams to solve complex technical problems and drive digital transformation for customers? As a Cloud & AI Solution Engineering Manager at Microsoft, you will lead a team of Solution Engineers in empowering our enterprise customers to achieve more through Microsoft's cloud and AI technologies. In this role, you will model Microsoft's leadership principles of Model, Coach, Care - fostering a culture where your team members grow, succeed, and feel included.
As a manager of Solution Engineers, you will engage with key customer technical decision-makers, leveraging deep technical and industry knowledge to build credibility and ensure technical wins. The role includes orchestrating team resources, maximizing customer engagement impact, accelerating presales activities through deep technical expertise and thought leadership - as well as overseeing solution demonstrations, guiding customers through digital transformation, and identifying new technical and business trends. This is a chance to shape strategy, influence key decision-makers, and be at the forefront of cloud innovation.
**Responsibilities**
**Responsibilities**
+ Hire, coach, and develop a diverse team of Solution Engineers. Set clear goals, provide regular feedback, and support professional growth.
+ Foster an inclusive, high-performing team culture by leading with integrity, enabling success, and investing in people's aspirations and development.
+ Guide the team to design effective cloud solutions that address real business needs and deliver measurable outcomes.
+ Ensure quality and consistency by sharing best practices and encouraging collaboration across teams and functions.
+ Sales Accountability & Deal Acceleration: Own your team's contribution to Azure revenue targets. Lead technical strategy in deal reviews and account planning to convert technical progress into sales velocity. Instill strong pre-sales discipline, opportunity tracking, delivery on commitments, and adherence to sales methodologies.
+ Promote strong execution through disciplined opportunity management, clear accountability, and follow-through.
+ Align technical activities with business priorities by working closely with sales, partners, and other stakeholders to focus on what matters most.
+ Support innovation and solution excellence by coaching architectural design, prototypes, and pilots that accelerate customer adoption.
+ Encourage modern, consultative sales approaches to position solutions with credibility and insight.
+ Extend reach through partner collaboration, enabling engineers to work effectively with partners to deliver complete, scalable solutions and overcome challenges.
**Qualifications**
**Minimum Experience**
+ Australian citizen with the ability to obtain baseline security clearance.
+ 5+ years of people management experience in the technology industry, leading technical teams, ideally in pre-sales, consulting or engineering roles. Proven ability to coach talent, build skills and scale teams.
+ 8+ years of hands-on technical experience in cloud or enterprise software, with strong knowledge of Microsoft Azure (or equivalent platforms) across multiple domains. Broad exposure and adaptability are valued over deep specialisation.
+ Experience leading technical conversations with enterprise clients, from understanding requirements to presenting solutions and managing objections. Able to translate complex solutions into clear business value.
+ Experience developing technical strategies aligned to business goals, including coordination with cross-functional teams such as sales, marketing, engineering and partners.
+ Experience advising senior technical and executive stakeholders, with the ability to explain complex concepts in a clear, accessible way.
+ Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience. Postgraduate qualifications or cloud certifications are regarded highly, however not essential.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Senior Product Manager - Data Science Assets
Posted 23 days ago
Job Viewed
Job Description
**About Pearson**
As the world's largest (listed on both London and NY stock exchange) learning company, Pearson has been contributing a profound impact on our world since its formation in 1844. Pearson employs more than 20,000, operates in 70 countries and delivers products and services in nearly 200 countries. We work toward a common purpose - helping people realize the life they imagine through learning. We do that by developing and providing high-quality, digital content and learning experiences, as well as assessments and qualifications, that help people build their skills and grow with the world around them. Unveil the boundless possibilities that await you. Learn more at pearsonplc.com.
**About Enterprise Learning & Skills**
Pearson's newly established Enterprise, Learning & Skills division is mandated to help enterprises drive productivity and growth by transforming how they evaluate, assess, and reskill their workforce, as well as delivering world-class vocational training and qualifications. The global talent market has never been more important than it is today, and Workforce Solutions, a key hub within the new ELS division, is well positioned to meet the needs of employers and employees who want to build a leading edge in the age of AI and a rapidly changing economy. Our offerings help employers understand labor market dynamics, how future proof their workforces at scale, and helping workers gain the skills they need to boost their employability and create new career prospects.
**About the Role**
The Senior Product Manager for our Data Science Assets will lead the delivery of our core data science and exploratory tools, ensuring that our unique IP and insights are approachable and actionable for our clients, enabling them to drive meaningful change and unlock new opportunities for their businesses.
To do this, you'll work across our Data Science & AI, Product and Engineering squads to ensure our teams are prioritizing and delivering innovative solutions to real-world customer problems. You'll be responsible for the delivery of our Data Science roadmap into production, identifying and mitigating risks, post-launch monitoring, and ensuring that our teams are releasing quality data.
While most of the team is based in Sydney, this role can be a remote AU position with the availability to flex across multiple time zones, as stakeholders' locations range from Australia, US, and the UK. As an organization with a global customer and employee footprint, some domestic and international travel may be required.
**Key Responsibilities:**
+ Develop and execute product strategies that align with the Workforce Solution business unit's vision and the broader ELS business objectives
+ Define our Data science product roadmap and technical requirements and help our data science team prioritize features based on customer feedback, market demand, and business goals.
+ Collaborate closely with Data Scientists and Engineers to define requirements, prioritize features, data pipeline improvements, testing, and deploying assets into production
+ Communicate with stakeholders, including business leaders, sales marketing, clients and our broader product development teams to present our data assets and provide updates on product development
+ Garner an understanding of compliance, legal, internationalization, accessibility, and other ongoing needs to ensure design and data science make the right CX trade-offs when needed.
+ Strengthen our product team by contributing to a culture of collaboration, innovation, and high performance.
**About You**
**Key Experiences & Skills:**
+ **Product Experience** : 6+ years of experience as a product manager, with at least 3 years as either a Technical PM or responsibility for delivering Data Science products, defining product roadmaps, prioritizing features, and working with cross-functional teams.
+ **Data Science Literacy:** a good understanding of data science and analytics. You'll be expected to be involved in deep conversations about different statistical methods, machine learning algorithms, data visualization and data infrastructure.
+ **Business Acumen:** ability to understand business goals and translate them into data science deliverables that can drive significant commercial returns. You will be able to communicate effectively with stakeholders and have a good understanding of market trends.
+ **B2B Product Expertise:** Experience in B2B products (with previous experience in HR Tech a significant plus).
+ **International Experience** : experience within a global organization, with an understanding of cultural nuances.
+ **Analytical Nature** : Ability to use data to make key decisions on tradeoffs on product initiatives. Skilled in analyzing and reporting on metrics and KPIs.
+ **Delivers Results** : Able to deliver technical product requirements and project plan, and then execute it, tempering enthusiasm for innovation with tactical prioritization of must-have features that customers require to have a frictionless experience.
+ **Collaborating and Influencing:** Negotiate with a genuine give-and-take approach, involving all stakeholders to shape a collective consensus. Build relationships that help achieve team objectives and lead cross-functional teams.
This position is open to candidates based in Melbourne or Sydney, Australia. Applicants must have current work rights in Australia to be considered.
**Who we are:**
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing
**Job:** Product Management
**Job Family:** PRODUCT MANAGEMENT
**Organization:** Enterprise Learning & Skills
**Schedule:** FULL_TIME
**Workplace Type:** Hybrid
**Req ID:** 18329
#LI-REMOTE
Machine learning and artificial intelligence and environmental
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: Universitat Politècnica de Catalunya
Country: Spain
Deadline: Not specified
Fields: Computer Science, Data Science, Electrical Engineering, Environmental Science, Applied Mathematics
The SANS research group (Statistical Analysis of Networks and Systems) at the Universitat Politècnica de Catalunya (UPC) invites applications for a competitive 3-year PhD fellowship within the Computer Architecture PhD track. This opportunity is aimed at highly motivated candidates interested in developing advanced Machine Learning and Artificial Intelligence algorithms for the analysis of Internet of Things (IoT) data, with real-world applications in air pollution monitoring, climate change, digital twins, and related areas.
Successful candidates will have the opportunity to work with large-scale, real-world datasets collected from state-of-the-art IoT monitoring systems and participate in experimental deployments designed to maximize the societal and environmental impact of their research.
Requirements
– Demonstrated motivation to apply mathematical and computational methods to address real-world challenges
– Interest in data-driven research with significant environmental and societal implications
– Strong background in a relevant field (e.g., computer science, engineering, mathematics, environmental science)
– Excellent analytical and problem-solving skills
The position is based in Barcelona, Spain, and offers a pre-doctoral contract for three years.
For additional information, please visit: />
Also See
- Ireland – Fully Funded PhD in Environmental Economics at University of Galway
- MSc and PhD Opportunities in AI, Image Processing, and IoT at University of Manitoba
- Fully Funded PhD and MS Positions in Structural Health Monitoring at UTRGV
- Switzerland – PhD in Environmental Engineering at Eawag/ETH Zurich
- Fully Funded PhD Position in Edge AI and Sustainable Computing at University of Vienna
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
Machine Learning Scientist, Amazon International Machine Learning
Posted 23 days ago
Job Viewed
Job Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Machine learning center
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: CISPA Helmholtz Center
Country: Germany
Deadline: September 10, 2025
The Rational Intelligence Lab at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany, invites applications for a postdoctoral position in Rational Machine Learning. This opportunity is open to researchers with a strong background in machine learning, statistics, economics, or related disciplines.
Requirements
– PhD in Computer Science, Statistics, Economics, Artificial Intelligence, Data Science, or a closely related field
– Interest and experience in areas such as causality, game theory, uncertainty quantification, large language models, generative AI, or recommender systems
– Demonstrated research excellence through publications or relevant projects
– Eligibility to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship
Successful Candidates Will
– Work in a vibrant, international AI research environment
– Collaborate with leading institutions, including MPI, DFKI, and ELLIS
– Engage in interdisciplinary research and contribute to the advancement of rational machine learning
Application Procedure
– For detailed eligibility and application guidelines, please refer to the Marie Skłodowska-Curie Postdoctoral Fellowship: />
– For more information about the research group, visit: />
– Interested candidates may contact for further inquiries.
Application Deadline: September 10, 2025
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
Machine learning researcher - group
Posted 14 days ago
Job Viewed
Job Description
Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
What You'll Do
- Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
- Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
- Design and run experiments using the latest ML tools and frameworks
- Develop automation tools to streamline research and system development
- Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
- Partner with engineering teams to implement and test models in production environments
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
- PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong programming skills in Python and/or C++
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
- Hands-on experience applying deep learning on time series data
- Strong foundation in mathematics, statistics, and algorithm design
- Excellent problem-solving skills with a creative, research-driven mindset
- Demonstrated ability to work collaboratively in team-oriented environments
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
- Collaborate with a world-class team of researchers, engineers, and traders
- Gain access to best-in-class financial data and high-performance computing resources
- Directly impact real-time trading performance through your work
- Thrive in a collaborative, intellectually rigorous environment with a global footprint
Be The First To Know
About the latest Ai engineering Jobs in Australia !
Machine learning and physics university
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: University of Illinois Chicago
Country: United States
Deadline: Spring 2026
Fields: Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Artificial Intelligence, Applied Physics
Applications are invited for PhD positions in the Computer Science Department at the University of Illinois Chicago (UIC), beginning Spring 2026, under the supervision of Dr. Yifan Zhou. The research focus is on developing foundational technologies that enable robots to understand and interact with their environment through proactive engagement, integrating physics modeling and machine learning, especially in low-data regimes.
Requirements
– Background in computer science, robotics, engineering, or related fields
– Interest in physics-based modeling, optimization, machine learning, and hardware design
– Motivation to work on interdisciplinary research combining visual-tactile perception and predictive modeling
– Ability to communicate research interests and academic background effectively
Application Process
Interested candidates should email Dr. Yifan Zhou at with a brief self-introduction and their most recent CV. Please begin your email subject line with (Prospective Student). Further information about Dr. Zhou’s research can be found at />
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: />
- USA – Fully Funded PhD in Robotics at University of Illinois Urbana-Champaign
- USA – PhD in Virtual Reality & HCI at University of Illinois Urbana-Champaign
- Graduate Student Position in Marine Microbial Ecology at NIU
- USA – Postdoc in Freight Transportation & AI at Purdue University
- USA – PhD in Machine Learning and Data Mining at University of Texas at Arlington
Opportunities machine learning and biological data
Posted 7 days ago
Job Viewed
Job Description
This position is no longer available.
University: Johns Hopkins University
Country: United States
Deadline: Not specified
Fields: Computer Science, Data Science, Bioinformatics, Computational Biology, Statistics
The Chitra Lab at the Department of Computer Science, Johns Hopkins University, with affiliation to the Data Science and AI Institute, is seeking highly motivated students and researchers to join our team. Our lab focuses on developing advanced machine learning and statistical methods for the analysis and interpretation of high-dimensional and multi-modal biological data. We aim to address fundamental problems in biology through novel AI algorithms.
Research Areas Of Interest Include
– Single-cell and spatial multi-omics
– Genetic perturbations
– Biological network analysis
– Anomaly detection in biological datasets
We invite applications from individuals interested in pursuing positions as postdoctoral researchers, PhD students, Master’s students, or undergraduate researchers. Applicants should have a strong background or interest in computer science, data science, bioinformatics, computational biology, or statistics.
For more information and application details, please visit our website: />
For inquiries, contact Dr. Uthsav Chitra at:
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: />
- PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft
- Two Postdoctoral Positions in Biofabrication at the MERLN Institute, Maastricht University
- USA – Funded PhD & MS in Civil Engineering at Rochester Institute of Technology
- USA – Postdoctoral Research in Water Resources at University of Florida
- Europe – Postdoc in Mechanical Properties of Cemented Carbides at University of Luxembourg
Opportunity machine learning and mechanics system
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: University of Nevada, Reno
Country: United States
Deadline: Not specified
Fields: Computational Mechanics, Structural Engineering, Earthquake Engineering, Civil Engineering, Applied Mathematics
The research group led by Dr. Elnaz Seylabi at the University of Nevada, Reno invites applications for a fully funded Ph.D. position beginning in Fall 2025. This opportunity is supported by the National Science Foundation (NSF) and focuses on the development of physics-informed machine learning frameworks for surrogate modeling of geostructural systems.
Requirements
– Master’s degree in Computational Mechanics, Earthquake/Structural Engineering, or a related discipline
– Experience with finite element modeling and scientific machine learning
– Strong analytical skills and a demonstrated curiosity for innovative research at the intersection of mechanics and artificial intelligence
Interested candidates are encouraged to contact Dr. Seylabi directly at , submitting a CV and unofficial transcripts for consideration.
For further details about the NSF-supported project, please visit: />
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: />
- Multiple PhD Opportunities in Earthquake & Structural Engineering at University of Nevada, Reno
- PhD and Postdoc Opportunities in Structural Mechanics at University of Nevada, Reno
- USA – PhD in Computer Science at University of Nevada, Reno
- Canada – PhD/Postdoc in Numerical Optimization at Polytechnique Montréal
- Postdoctoral Opportunity in In-Silico Clinical Trials for Cardiovascular Engineering at RWTH…