Lead AI/ML Engineer at Faculty | England | Rezi

Lead AI/ML Engineer at Faculty

Lead AI/ML Engineer

Faculty · England

1 months ago

Lead AI/ML Engineer

Faculty · England

a month ago
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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.