The order in which job vacancies are displayed is determined by a composite score based on the following factors:
Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.
An exciting position has arisen to join a dedicated Research group that specialises in AI, ML and Data Science and is focused on developing solutions to mission focused problems in a national security context.
This role would suit someone with commercial and technical leadership experience who enjoys problem solving and working with high levels of autonomy.
The Role
The Principal Researcher will be responsible for the design and planning of multiple research projects some of which will be internal and others for a key customer. You will contribute to the research group’s broader strategy, bring new ideas to help drive competitive advantage while working with customers to triage opportunities and determine appropriate technical approaches.
This role will be focused on developing complex data science solutions, delivering ML and AI solutions to problems within defence and the delivery of research and applied AI/ML tasks.
Skills
* Academic background in ML, Computer Science, Mathematics or Data Science
* Commercial experience delivering ML solutions
* Good Python skills
* In depth knowledge of AI/ML
* Experience developing ML pipelines with MLOps
* Cloud & Linux experience would be beneficial but not essential
Security Clearance
Eligibility for Security Clearance is required for this role
Apply
To apply, follow the instructions on this page or send an updated CV to Myles at Copello Global referencing the role in question