Lead · Гибрид · Лондон, Великобритания · Английский B2
Навыки
CI/CD
Kubernetes
Лидерство
Machine Learning
PyTorch
TensorFlow
О компании и продукте
Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.
As a Lead Machine Learning Engineer at Faculty, 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.
Задачи
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
WHY FACULTY?
We established Faculty in 2014 because we thought that AI would be the most important technology of our time
Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI
You can read about our real-world impact here https://faculty.ai/impact
We don’t chase hype cycles
We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well
Требования
You are an expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments
You possess mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines
You have a proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments
You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges
You define the engineering standards and architecture patterns for agentic systems, ensuring teams build to a consistent, production-grade bar
You demonstrate an exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs
THE INTERVIEW PROCESS
Talent Team Screen (30 minutes)
Introduction to the Hiring Manager (30 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial & Leadership Interview (60 minutes)
OUR RECRUITMENT ETHOS
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
And we know from experience that diverse teams deliver better work, relevant to the world in which we live
We’re 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
Some of our standout benefits
Unlimited Annual Leave Policy
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working
Условия
Private healthcare and dental
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Формат работыГибрид
ГеографияЛондон, Великобританиявычитано из текста вакансии
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ashbyОсновная публикация · 2026-06-22
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Работодатель
Faculty
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