Faculty
Visit websiteSenior Forward Deployed Engineer
Salary not disclosedOnsite
- Engineering
- London
- Full time
- Today
About the role
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This role requires a blend of technical expertise, engineering leadership, and confident client-facing skills.
Responsibilities
- Leading technical scoping and architectural decisions for high-impact ML systems
- Designing and building production-grade ML software, tools, and scalable infrastructure
- Defining and implementing best practices and standards for deploying machine learning at scale across the business
- Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
Required skills
- Machine Learning
- Python
- Software Engineering
- Cloud platforms
- Docker
- Kubernetes
- TensorFlow
- PyTorch
About the Company
Faculty was established in 2014 to transform performance through human-centric AI. They work with global customers across government, finance, retail, energy, life sciences, and defence to innovate, build, and deploy responsible AI.