Lead Machine Learning Engineer

Faculty is seeking a Lead Machine Learning Engineer to join their Applied AI consultancy, serving clients in the Government & Public Services business unit. This role involves designing, building, and deploying production-grade software, infrastructure, and MLOps systems, as well as offering leadership and mentorship to junior engineers.

Key responsibilities include:

• Building software and infrastructure leveraging Machine Learning
• Creating reusable, scalable tools for ML system delivery
• Working with customers to understand their needs
• Collaborating with data scientists and engineers to develop best practices
• Implementing Faculty's approach to operationalizing ML software
• Leading on project scope and design
• Providing technical expertise to customers

The ideal candidate should have:

• Understanding of the full machine learning lifecycle
• Experience with common ML frameworks (Scikit-learn, TensorFlow, PyTorch)
• Strong software engineering skills, particularly in Python
• Experience with cloud architecture, preferably AWS
• Proficiency with Docker and Kubernetes
• Leadership experience in growing technical capabilities of a team

Faculty offers a diverse and intellectually stimulating environment, working with brilliant minds on high-impact projects. This role provides an opportunity to make a significant impact in a high-growth start-up poised for international expansion.

Note: Due to potential work with National Security and Policing clients, candidates must be eligible for Security Clearance and may need to travel outside of London.