Lead Machine Learning Engineer

The role

You will set the technical direction for complex AI/ML projects and lead the delivery of large-scale AI-powered platforms. You will design, implement, and maintain scalable ML systems and manage and coach multiple individuals.

What you will do

• Designing, implementing, and maintaining reliable, scalable ML systems
• 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
• Overseeing the delivery of multiple complex workstreams
• Ensuring reliable model performance by defining testing frameworks and model versioning systems
• Managing and coaching multiple individuals and setting team-wide development goals
• Executing proactive recommendations for adopting new technologies and AI frameworks

Required qualifications

• Expert at defining technical roadmaps and managing project priorities
• Mastery of cloud-native ecosystems and orchestration tools like Kubernetes
• Proven ability to design large-scale, AI-powered platforms and provide technical justification for architectural decisions
• Expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch
• Ability to define engineering standards and architecture patterns for agentic systems
• Ability to align multi-disciplinary technical teams with business objectives and customer needs

Before you apply

• You may need to be eligible for UK Security Clearance (SC)
• Willing to work on site with Government clients from time to time

About the company

Faculty was established in 2014 to transform performance through human-centric AI. They work with over 350 global customers across sectors including government, finance, retail, energy, life sciences and defence.