Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead AI/ML projects to solve business challenges, mentor junior data scientists, and deliver data-driven solutions using Python and SQL in a fintech insurance company.
Lead a cross-functional team to design and implement a bank-wide AI and data strategy, building production-ready ML models and MLOps pipelines for analytics and automation.
Lead a team to design and deliver AI/ML solutions that enhance Workday’s platform, leveraging Python, ML frameworks, and cloud/MLOps for scalability and innovation.
Lead a team of data scientists to build and deploy ML models that optimize Jet2’s travel business, using Python, SQL, and cloud tools like AWS SageMaker.
Lead a team of data scientists to build and deploy ML models that optimize travel operations, pricing, and customer experiences using Python, SQL, and cloud tools like AWS SageMaker.
Lead a team building AI/ML models for Workday SaaS, driving predictive analytics and automation from concept to production.
Lead a team of data scientists to build and deploy ML products for Sportsbet, from ideation to production, driving business value and advancing AI/ML capabilities.
Lead a team building AI models for healthcare wearables, turning raw physiological data into clinically validated, production-ready solutions while collaborating with cross-functional teams.
Lead ML and data-science projects for aerospace engineering and operations, building models and dashboards to drive data-driven decisions.
Lead a team of data scientists to design ML components and governance for Bayer’s real-world evidence and AI workflows, mentoring colleagues and collaborating with stakeholders.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
Lead a data-science engine for adtech, building ML models (multi-armed bandits, ranking, LTV) in AWS to optimize ROAS and lead quality for insurance and advertiser verticals.
Lead a team of data scientists to design experiments, build predictive models, and shape AI product strategy through rigorous analytics and go-to-market insights.
Lead a team to design, build, and deploy AI/ML systems including generative models and vector databases, using Python, PySpark, SQL, and cloud platforms.
Lead a team to design, build, and deploy generative AI and ML models that solve real business problems while mentoring engineers and guiding stakeholders.
Lead data-science projects at RMIT University, turning university-scale problems into Python/R models and deploying ML solutions with stakeholders.
Lead end-to-end ML initiatives, from problem framing to production deployment, building scalable forecasting and optimization models in a hybrid Sydney role.
Lead a fraud-detection team building ML models to protect an affiliate-marketing platform from attribution fraud, lead fraud, and emerging threats like browser-extension abuse.
Lead AI and machine learning initiatives, building predictive models and GenAI/LLM solutions to drive retail and FMCG insights and automation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
