As Faculty’s Lead Machine Learning Engineer, you will spearhead the technical direction and delivery of complex, innovative AI projects for our Defence team. You will act as a technical expert, applying skills from AI strategy to client-side deployments while ensuring sound architectural decisions, balancing deep technical expertise with strong leadership.
What You'll Do
- Set the technical direction for complex ML projects, balancing trade-offs and guiding team priorities.
- Design, implement, and maintain reliable, scalable ML and software systems, justifying 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.
- Act as a technical expert and coach for customers, accurately estimating large workstreams and defending rationale to stakeholders.
What We're Looking For
- Strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
- Expert in at least one major Cloud Solution Provider (Azure, GCP, or AWS).
- Experience leading teams to build full-stack web applications.
- Hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
- Ability to successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
- Excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.
Technical Stack
- Languages & ML Frameworks: Python, Scikit-learn, TensorFlow, PyTorch
- Infrastructure & Cloud: Docker, Kubernetes, Azure, GCP, AWS
Benefits & Compensation
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Work Mode
This role operates on a hybrid basis, requiring 2 days per week in our Old Street office, London, UK.
Faculty is an equal opportunity employer. We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth.
