Description
Faculty is an AI company that works with global customers to transform their performance through human-centric AI. Founded in 2014, it has worked with over 350 customers.
About the Team
Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.
About the Role
Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation.
Responsibilities
- Set the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
- Design, implement, and maintain reliable, scalable ML/software systems and justify key architectural decisions.
- Define project problems, develop roadmaps, and oversee delivery across multiple workstreams in often ill-defined, high-risk environments.
- Drive the development of shared resources and libraries across the organisation and guide other engineers in contributing to them.
- Lead hiring processes, make informed selection decisions, and mentor multiple individuals to foster team growth.
- Proactively develop and execute recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
- Act as a technical expert and coach for customers, accurately estimate large work-streams and defend rationale to stakeholders.
Requirements
- You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
- You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
- You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
- You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
- You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
- You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
- You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.