Faculty

machine learning engineer for public services

In short

Лид-инженер по машинному обучению в лондонском Public Services подразделении Faculty, работающем над AI-решениями для правительства и NHS. Роль включает проектирование масштабируемых ML-систем, управление командой senior-инженеров и определение технических стандартов для агентных систем. Требуется экспертное владение Kubernetes, TensorFlow/PyTorch и опыт архитектуры высоконагруженных AI-платформ, возможна необходимость допуска UK Security Clearance (SC).

Описание
Faculty develops and deploys responsible AI for over 350 global customers, delivering human-centric solutions across government, finance, retail, energy, life sciences, and defence. Its Public Services Business Unit applies AI to improve government decision-making, NHS operations, and bureaucratic processes.
Задачи
•Design, implement, and maintain reliable, scalable ML systems for production environments
•Justify key architectural decisions
•Drive the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines
•Lead model integration with infrastructure by creating APIs and services for scalable AI functionality in applications
•Oversee multiple complex workstreams and define project problems in high-risk environments
•Define testing frameworks and model versioning systems for senior engineers to implement
•Manage and coach multiple individuals and set team-wide development goals
•Execute recommendations for adopting new technologies and AI frameworks
Требования
•Expert ability to define technical roadmaps and manage project priorities for high-stakes outcomes
•Mastery of cloud-native ecosystems and orchestration tools such as Kubernetes
•Proven ability to design large-scale AI-powered platforms and justify critical architectural decisions
•Expert-level experience operationalising models with frameworks such as TensorFlow or PyTorch
•Experience defining engineering standards and architecture patterns for agentic systems
•Exceptional ability to align multidisciplinary technical teams with business objectives and customer needs
•Eligibility for UK Security Clearance (SC) may be required
•Willingness to work on site with government clients from time to time
Условия
•Office role in London, England, United Kingdom
•Candidates may need to be eligible for UK Security Clearance (SC)
•The company is open to conversations about part-time hours
•Interview process: Talent Team Screen, Hiring Manager Introduction, Pair Programming Interview, System Design Interview, Commercial & Leadership Interview

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