AI and Machine Learning Advisor (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI and Machine Learning Advisor (AI/ML): Leading the development and adoption of AI/ML tools to enhance humanitarian analysis for the EWAR team with an accent on strategy, model deployment, and ethical AI uptake. Focus on fine-tuning and deploying AI/ML models, designing data-driven products, and translating complex data into actionable insights.
Location: Must be based in London, UK. Candidates must have the Right to Work in the UK and a minimum of 2 years residency in the UK out of the last 5 years.
Company
is an international organization focused on humanitarian decision-making and global risk monitoring.
What you will do
- Develop and embed the AI/ML strategy for the Early Warning, Analysis and Reporting (EWAR) team.
- Identify opportunities to integrate AI tools into analytical processes and flagship products like HEWN.
- Fine-tune, evaluate, and deploy AI/ML models within analytical workflows.
- Co-design data-driven products to meet humanitarian information and operational needs.
- Build internal capacity on AI/ML and provide training to staff.
- Ensure responsible AI use and compliance with privacy and ethical standards.
Requirements
- 3+ years of professional experience in data science or ML engineering.
- Experience creating, testing, and rolling out AI/ML tools and validation methods.
- Proficiency in Python and SQL.
- Familiarity with AI/ML workflows, model deployment, versioning, and GitHub.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Fluency in English.
Nice to have
- Experience with collaborative cloud computing platforms such as Databricks.
- Advanced degree in AI, Computer Science, Data Science, Mathematics, or Engineering.
- Experience in humanitarian early warning systems and risk modelling.
- Background working in the humanitarian, development, or public sectors.
Culture & Benefits
- Permanent employment role.
- Hybrid working policy requiring a minimum of three days in the office.
- Opportunity to work at the center of government humanitarian decision-making.
- Collaborative environment with a focus on real-world impact and innovation.
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