Research Assistant/Associate

Senior / Research Assistant (AI/ML & Software) This position provides software and AI/ML engineering skills to support research and development in agentic workflows, applied machine learning, and the commercialisation of deep-technology research. The role supports technology commercialisation grants and works closely with the Principal Investigator and project partners to take prototypes toward working, deployable systems. The key responsibilities are: Design, build and ship AI/ML and software prototypes and tools, with an emphasis on agentic and LLM-based workflows. Develop and maintain data pipelines, services and deployments across cloud and edge, taking prototypes from concept to working systems. Support applied computer vision development for project use cases as required. Support technology commercialisation grants, including building proofs of concept and demonstrators for industry and grant partners. Assist in preparing technical materials, proposals and reports Required/Desired Skills: Technical skills in many of the following: Strong software engineering and the ability to build and ship end to end (e.g. Python, APIs, containerisation, and cloud services such as AWS). Experience building agentic and LLM-based workflows (e.g. RAG, tool use, multi-agent orchestration). Working knowledge of applied machine learning; familiarity with computer vision models (e.g. object detection and tracking) is an advantage. Familiarity with deployment and MLOps practices (e.g. Docker, CI/CD, model serving); edge deployment is a plus. This position must be resourceful, proactive and results-oriented. The position must take initiative to engage stakeholders across research and commercialisation projects. A positive attitude, and the ability to present and communicate well with all types of stakeholders, will be essential. Required/Desired Qualifications & Experience: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related releva…