Machine Learning Engineer, Global Public Sector at Scale AI in Doha, Qatar and London, UK
A verified opening at Scale AI in Doha, Qatar and London, UK for a Machine Learning Engineer, Global Public Sector, with requirements from the official careers page and direct application.
RoleMachine Learning Engineer, Global Public Sector at Scale AI in Doha, Qatar and London, UK.
Core challengeLeading applied research in agent design, reliability, and AI safety, and developing innovative system architectures for high-stakes government applications, bridging research papers and scalable production systems.
Requirements
- Applied Agent ResearchLeading the design of reliable multi-step agent systems and long-horizon reasoning frameworks to address complex national security and public policy problems.
- Systemic Evaluation and Red-TeamingDeveloping rigorous evaluation benchmarks and protocols to ensure AI systems are safe, unbiased, and perform at the highest levels in high-stakes non-commercial environments.
- Model Optimisation and SelectionConducting deep research into open-weight and proprietary model performance to identify the best tools for specialized use cases, optimizing them through context engineering, RAG, and runtime inference techniques.
- Architect Agentic SystemsDesigning and building agent architectures, harnesses, tool-use protocols, and logic flows that enable large language models to operate as reliable autonomous agents in complex workflows.
- Drive Reliability and SafetyResearching and implementing robust evaluation frameworks, including red-teaming for sovereign AI requirements, and developing strategies to mitigate hallucinations in structured data environments.
- Synthesise Deep ResearchBuilding agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyze massive datasets and extract actionable insights.
- Optimize for Niche DomainsEvaluating and adapting models for specialized use cases, such as LLM inference for low-resource languages, complex OCR tasks, or operating in GPU-constrained environments.
- Build Evaluation FrontiersCreating novel automated evaluation benchmarks that define success for public sector AI, ensuring systems meet the highest standards of accuracy and sovereignty.
- Consult as a Technical AuthorityServing as a technical authority for public sector leaders, advising on practical boundaries, safety requirements, and performance trade-offs of emerging AI technologies.
SalaryNot disclosed in the official announcement.
Action stepMatch your experience with the published requirements and review the official employer page before applying.
Apply now Apply via the official careers page.