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About the Role

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.

Responsibilities

Leading technical scoping and architectural decisions for high-impact ML systems
Designing and building production-grade ML software, tools, and scalable infrastructure
Defining and implementing best practices and standards for deploying machine learning at scale across the business
Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Requirements

Understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
Demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
Extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
Thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
Communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
Eligible for UK Developed Vetting (DV) and willing to work on site with clients from time to time

Skills

TensorFlow
PyTorch
Python
AWS
Azure
GCP
Docker
Kubernetes

Location

On site with clients from time to time

Work Type

Hybrid Working
Part-time hours considered

Experience Level

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 that makes a significant impact.
Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defense.
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 the most powerful applications of AI.
The National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability.
This unit works on strengthening mission-critical capabilities across national security and intelligence, and partners with frontier labs for AI safety red teaming and evaluation.
The team works at the frontier of high-stakes, high-impact missions.
The company partners with Government and major tech organizations to ensure AI is transformative, secure, trustworthy, and safe.

Equal Opportunity

We aim to grow the best team - not the most similar one.
Diversity of individuals fosters diversity of thought, which strengthens 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.