Lead ML Engineer — Safety & Production-Grade AI

Fdetimes; Greater London; Ibrido; GBP 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Faculty is seeking a Lead Machine Learning Engineer to drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. You will bridge AI research and production impact, setting the benchmark for engineering excellence and scaling ML infrastructure.

Working with Frontier Labs, you will champion practical safety-first AI frameworks, model evaluations, and multi-agent systems, while mentoring engineers and guiding cross-functional teams to

Competenze

• Experience leading the design, deployment and security of scalable ML systems.
• Strong software engineering foundations with Python; production-grade systems.
• Deep familiarity with cloud platforms (AWS/Azure/GCP) and container orchestration.

Mansioni

• Define technical strategy and architecture for ML systems and Frontier AI models.
• Build production-grade, secure ML software and scalable cloud infrastructure.
• Establish standards for safe, reliable, and ethical model deployment at scale.
• Collaborate with stakeholders to translate client needs into robust AI solutions.
• Mentor engineers and lead cross-functional teams.

Conoscenze

Leadership

Python

LLM systems

Cloud platforms

Kubernetes

PyTorch/TensorFlow

Docker

Strumenti

Docker

PyTorch

TensorFlow

Kubernetes

Descrizione del lavoro

Faculty is seeking a Lead Machine Learning Engineer to drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. You will bridge AI research and production impact, setting the benchmark for engineering excellence and scaling ML infrastructure.

Working with Frontier Labs, you will champion practical safety-first AI frameworks, model evaluations, and multi-agent systems, while mentoring engineers and guiding cross-functional teams to