We have a permanent opportunity for an experienced Senior Machine Learning Engineer to join a scaling advanced analytics function. Joining with extensive experience under your wings, you’ll be working in a pure technology environment building pipelines, training models, and using machine learning to improve recommendation & prediction. On a role… Based in Sydney, you’ll have a flexible, hybrid working arrangement, receive a very competitive salary + super, performance based bonus and a culture that breads development and collaboration. You’ll be instrumental to the software engineering function, applying machine learning directly to the client’s website, improving the personalised experience each customer receives. Working in a multidisciplinary team, you’ll liaise with Data scientists to help train the machine learning models that are in use. You’ll be key in relaying results from the website based on product recommendations sending the results back to the pipelines you will have helped build. You, yourself and why? You’re already an experienced data or software engineer, but this role will extend your powers out to further explore the use of ML. If you have at least 5 year's of experience as a data or software engineer, developing and deploying pipelines and products, with an understanding of training ML models / algorithms you’ll hit the ground running. A solid understanding of Python is a necessity along with strong SQL skills. Masters or PhD in Computer Science or similar At least 5 years of commercial experience as a data / software engineer Python GCP or AWS experience SQL Experience in MLOps Experienced designing and implementing machine learning models & pipelines Full SDLC & CICD experience highly desirable Working in a very collaborative team, you’ll have the opportunity to brush shoulders with some excellent engineers and scientists all working on the same project. This role only accepting candidates based in Sydney who are either an Australian Citizen or Permanent Resident. If you wish to apply for this role, please email jake@theonset.com.au or call Jake on 0488250441.