Faculty
Visit websiteLead Software Engineer
Salary not disclosedOnsite
- Engineering
- London
- Full time
- Today
About the role
As a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects and lead the delivery of large-scale AI-powered platforms in high-risk environments. You will act as a trusted technical expert, balancing technical trade-offs and guiding team priorities while communicating architectural rationale to senior stakeholders. This role involves managing and coaching a team of engineers while establishing enterprise-wide standards for code delivery and system documentation.
Responsibilities
- Setting the technical direction for complex software projects to ensure architectural decisions support long-term product and client goals.
- Driving the development of shared software libraries and microservices that accelerate delivery across multiple client engagements.
- Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.
- Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.
- Managing and coaching a distributed team of engineers, setting development goals that align with organisational growth.
- Establishing enterprise-wide standards for code delivery, testing, and system documentation across the software engineering craft.
- Leading hiring processes for the software engineering craft to continue building a world-class technical team.
Required skills
- AI/ML
- Software Architecture
- System Integration
- Microservices
- DevOps
- Data Science
About the Company
Faculty was established in 2014 to transform performance through human-centric AI. They bring technical, product and delivery expertise to clients across government, finance, retail, energy, life sciences and defence.