Lead ML Engineer: Shape Responsible AI (Hybrid)

Faculty; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Sanctus Coaching

Hybrid Working

Job summary

Faculty is seeking a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex AI projects in a hybrid London-based setting. You will apply deep expertise across AI strategy, client deployments, and architecture decisions, while mentoring engineers and driving reusable solutions.

The role emphasizes leadership, high-risk project management, and staying ahead with emerging technologies to deliver practical outcomes that propel client success.

Qualifications

• Strong Python skills with practical ML deployment experience.
• Experience operationalising models in production environments.
• Leadership and mentoring of engineering teams.

Responsibilities

• Set technical direction for complex ML projects.
• Design, implement and maintain scalable ML/software systems.
• Define roadmaps and manage multiple workstreams.

Skills

Python

ML frameworks

Cloud proficiency

Leadership

Docker & Kubernetes

Tools

TensorFlow

Scikit-learn

PyTorch

Azure/GCP/AWS

Job description

Faculty is seeking a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex AI projects in a hybrid London-based setting. You will apply deep expertise across AI strategy, client deployments, and architecture decisions, while mentoring engineers and driving reusable solutions.

The role emphasizes leadership, high-risk project management, and staying ahead with emerging technologies to deliver practical outcomes that propel client success.