Responsibilities
- Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments.
- Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines.
- Leading model integration with infrastructure by creating APIs and services that enable scalable AI functionality in applications.
- Overseeing the delivery of multiple complex workstreams and defining project problems in high-risk environments.
- Ensuring reliable model performance by defining testing frameworks and model versioning systems for senior engineers to implement.
- Managing and coaching multiple individuals, setting team-wide development goals to improve technical depth and client delivery.
- Executing proactive recommendations for adopting new technologies and AI frameworks to maintain Faculty's competitive market position.
Requirements
- Expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments.
- Mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines.
- Proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments.
- Expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges.
- Define the engineering standards and architecture patterns for agentic systems, ensuring teams build to a consistent, production-grade bar.
- Demonstrate an exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs.
Work Arrangement
Hybrid
Additional Information
- Eligibility for UK Security Clearance (SC) may be required
- Willingness to work on site with government clients from time to time
- Open to conversations about part-time hours