Lead ML Engineer - Scalable AI Platforms

Faculty; Greater London; Hybrid; GBP 110,000 - 140,000; Full time

Job summary

Faculty in London seeks a Lead Machine Learning Engineer to set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities.

You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams. This is an ambitious leadership role with a trusted technical advisor mandate to senior stakeholders.

Qualifications

• Expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments.
• Mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines.
• Proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments.
• Experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex business challenges.

Responsibilities

• 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.

Skills

Technical roadmaps

Cloud-native ecosystems

Team leadership

Production ML systems

Tools

Kubernetes

Docker

TensorFlow

PyTorch

Job description

Faculty in London seeks a Lead Machine Learning Engineer to set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities.

You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams. This is an ambitious leadership role with a trusted technical advisor mandate to senior stakeholders.