About the Role
As a Lead AI/ML Engineer, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities. You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams. This is an ambitious, entrepreneurial leadership role where you will act as a trusted technical expert, defending your architectural rationale to senior stakeholders to ensure we deliver high-quality, high-value outputs.
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.
- Exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs.
- Eligible for UK Security Clearance (SC) and willing to work on site with clients from time to time.
Skills
- AI/ML
- Kubernetes
- TensorFlow
- PyTorch
- CI/CD pipelines
- API development
- System Design
Location
- On site (client-dependent)
Work Type
- Hybrid Working
- Part-time hours considered
Experience Level
- Lead
- Senior
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility
- Flexible working
- Sanctus Coaching
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defence.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement powerful AI applications.
- The Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.
- The Public Services Business Unit works on projects informing strategic government decisions, optimising the NHS, and reducing bureaucratic backlogs.
Equal Opportunity
- We aim to grow the best team - not the most similar one.
- Diversity of individuals fosters diversity of thought, strengthening our principle of seeking truth.
- Diverse teams deliver better work, relevant to the world in which we live.
- We are united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact.
- We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
