Machine learning engineer for AI platforms

Faculty; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Flexible hours

On-site in London

Zusammenfassung

Faculty ищет опытного инженера по ML с фокусом на проектирование масштабируемых систем и инфраструктуры для развёртывания моделей в промышленных условиях.

Кандидат ответственен за архитектуру, практики MLOps и руководство командой в быстрорастущем проекте, работающем с государственными клиентами. Возможна работа на месте в Лондоне и гибкий график.

Qualifikationen

• Опыт разработки масштабируемых ML-систем в продакшн-средах.
• Умение обосновывать архитектурные решения.
• Опыт работы с TensorFlow и PyTorch.
• Способность руководить несколькими задачами и командами.

Aufgaben

• Проектировать и внедрять масштабируемые ML-системы в продакшн.
• Разрабатывать инфраструктуру и CI/CD для ML-пайплайнов.
• Поддерживать архитектуру и API для интеграции моделей.
• Координировать работу нескольких команд и клиентов.
• Обеспечивать качество и верификацию моделей.

Kenntnisse

Kubernetes

CI/CD pipelines

Cloud-native architecture

Machine learning platforms

Team leadership

Tools

TensorFlow

PyTorch

Docker

Jobbeschreibung

Описание:

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well.

Задачи:

Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments. Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines. Leading model integration with infrastructure by creating APIs and services that enable scalable AI functionality in applications. Overseeing the delivery of multiple complex workstreams and defining project problems in high-risk environments. Ensuring reliable model performance by defining testing frameworks and model versioning systems for senior engineers to implement. Managing and coaching multiple individuals, setting team-wide development goals to improve technical depth and client delivery. Executing proactive recommendations for adopting new technologies and AI frameworks to maintain Faculty's competitive market position.

Требования:

You are an expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments. You possess mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines. You have a proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments. You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges. You define the engineering standards and architecture patterns for agentic systems, ensuring teams build to a consistent, production-grade bar. You demonstrate an exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time.

Условия:

We are open to conversations about part-time hours.