AI Search Specialist focused on accurate representation across AI-powered search and generative platforms, turning performance data into automated insights and scalable workflows.
Compensation
For this role, the Annual Base Salary ranges from 651,000.00 to 956,900.00 DKK, corresponding to the level of the position.
Responsibilities
Build and maintain AI search dashboards tracking visibility, share of voice, citation rate, ranking, sentiment and source influence across markets.
Analyse GEO performance across prompt clusters, LLM outputs and third-party citations.
Identify gaps and turn findings into prioritised recommendations with clear owners.
Improve discoverability and AI readability through crawlability, indexation, metadata, schema, internal linking, semantic structure and page experience.
Develop scalable AI agents and automation workflows for insight generation, content briefs, reporting and market activation.
Requirements
Bachelor's degree in Marketing, Digital Media, Computer Science, Data Analytics or a related field
We are seeking an experienced Senior or Principal level Coastal Engineer to lead the delivery of complex coastal projects, provide technical leadership, and build strong client relationships.
Locations (4)
Perth, Western Australia, Australia
Sydney, New South Wales, Australia
Melbourne, Victoria, Australia
Brisbane, Queensland, Australia
Responsibilities
Leading the successful delivery of complex coastal engineering projects, ensuring technical excellence and high-quality outcomes
Leading coastal process investigations comprising hydrodynamics, waves, sediment transport and water quality
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch to optimize modeling processes and improve Swish products.
Compensation
starting at $160,000 base plus bonus potential
Responsibilities
Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
Build, test, deploy and maintain production systems.
Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
Support maintenance and optimization of cloud-native EDW and ETL solutions.
A Senior Software Engineer role focused on research, advanced data architecture, and digital twins within complex manufacturing and lithium-ion battery technology environments.
Compensation
Base salaries which exceed local & national industry averages. Year-end performance-based bonuses.
Responsibilities
Conduct research and learn advanced concepts across engineering disciplines
Communicate findings to experts and non-experts
Design and maintain data models and digital architectures
Apply machine learning and AI to optimize manufacturing processes
Integrate digital twins and simulation data
Requirements
Bachelor's degree in Computer Science, Software/Electrical Engineering
The Systems Engineer will monitor system health, analyze logs and alerts, investigate anomalies, take corrective actions, coordinate incident response activities, and drive continuous improvements to operational processes.
Compensation
The proposed salary range for this position is: $63,300-$129,700
Responsibilities
Monitor enterprise systems, applications, servers, databases, cloud services, and network infrastructure using approved monitoring platforms.
Review system dashboards, alerts, and performance metrics to identify potential issues before they impact operations.
Ensure system availability, reliability, and operational readiness across all supported environments.
Perform daily operational checks and health assessments of critical infrastructure.
Review and analyze system, application, security, and network logs to identify trends, anomalies, and potential issues.
Requirements
Bachelor's degree in Information Technology, Computer Science, Systems Engineering, Cybersecurity, or a related field.
Managing coastal infrastructure projects from feasibility through to delivery, including condition assessments, coastal structure design, dredging, reclamation and sediment management
Providing technical leadership and specialist coastal engineering advice to clients, project teams and emerging professionals
Overseeing numerical modelling of oceanographic and coastal processes to inform infrastructure design, land use planning and environmental impact assessments
Requirements
Engineering degree
Nice to have: coastal and marine data collection
Nice to have: environmental assessments
Nice to have: coastal structure condition assessments