Join us in our mission to support a healthier planet. CarbonLink is a pioneering company aiding Australian primary producers and landholders in their journey to sequester carbon and regenerate landscape. Regenerative agricultural practices have tremendous potential to combat climate change by drawing down and removing large quantities of atmospheric carbon dioxide into the soil, in addition to increased productivity of farmland, draught resilience, soil health and biodiversity. CarbonLink has generated over 90% of Australia's soil carbon credits. We bring over a decade of industry-leading experience, ground-breaking technology, streamlined processes, and unparalleled client service to the table. We combine industry leading measurement and modelling for Monitoring, Reporting and Verification approaches with practical on-farm advice to maximise project outcomes. Our diverse team includes machine learning researchers, software engineers, scientists, GIS experts, agricultural and soil specialists, and carbon project advisors. The Opportunity As the Senior ML Ops / Software Engineer, you will play a pivotal role in designing, building, and managing the machine learning infrastructure that powers the soil carbon modelling, measurement, reporting and verification in various projects that further our business objectives and environmental mission. What you'll bring to Carbon Link As a Senior ML Ops / Software Engineer, you will be driving conversations, providing technical suggestions, helping make decisions and collaborating with data scientists, software engineers and stakeholders in the company. Your Responsibilities: Machine Learning Infrastructure Development: Design, implement, and manage scalable, efficient, and secure ML pipelines for training, deploying, and monitoring models in production. Cloud and DevOps Engineering: Develop cloud-based solutions for ML model deployment and integrate best practices in DevOps, CI/CD, and infrastructure as code. Data Engineering: Build and optimize data pipelines for ingesting, processing, and storing large-scale soil and carbon-related datasets. Model Deployment & Monitoring: Deploy ML models into production environments and establish robust monitoring systems to ensure reliability, scalability, and compliance. Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and domain experts to align ML infrastructure with business and scientific objectives. Security & Compliance: Ensure all ML operations adhere to industry best practices for security, privacy, and regulatory compliance. Performance Optimization: Continuously improve ML workflows and infrastructure for efficiency, cost-effectiveness, and performance. Software Engineer: Contribute to the migration of legacy code to a modern software stack You have: 8 years in software engineering or a related field. Strong background in ML Ops, software engineering, or cloud infrastructure for ML applications. Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, or Scikit-learn). Experience with R is a bonus. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Familiarity with GIS, remote sensing, and environmental data. A Bachelor or Master Degree in Software Engineering, Data Science, Computer Science, Machine Learning, or a related field. Equivalent experience will also be considered. Strong problem-solving skills and the ability to work effectively in small company environment. You are: Keen to learn from those around you and eager to share your knowledge with the team, fostering a growth mindset. Aligned with our mission and values, demonstrating them through your working practice. Self-motivated and capable of working independently, taking the initiative to ensure that you have everything you need to work efficiently. Our office is located in the Brisbane CBD, Australia, and requires a minimum of 3 days in the office per week. Occasionally, you may be invited to travel to our lab or visit a customer's farm. Our Culture We are committed to creating an inclusive and collaborative work culture. At CarbonLink, we believe that diverse teams lead to better results and a better world. We are dedicated to creating a culture of psychological safety, where everyone feels comfortable sharing ideas and taking calculated risks. We strongly encourage you to apply if you’re interested. We welcome applications from all individuals who are passionate about our mission, regardless of gender, race, age, or background. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates who may meet significantly fewer requirements. Join us at CarbonLink and play a key role in our mission to have a positive impact on the environment and the agricultural industry. To apply online, please click on the appropriate link below. Alternatively, for a confidential discussion, please contact The Team at Carbon Link Operations on , quoting Ref No. 1225037.