Senior Machine Learning Engineer
Faculty
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Senior Machine Learning Engineer
role at
Faculty
2 weeks ago – Be among the first 25 applicants
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. We don’t chase hype cycles; we innovate, build and deploy responsible AI that moves the needle. Our clients span government, finance, retail, energy, life sciences and defence. AI is an epoch‑defining technology – join a company where you’ll be empowered to envision its most powerful applications and to make them happen.
About the Role As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. This ambitious, cross‑functional role requires technical expertise, engineering leadership and confident client‑facing skills. You’ll design, build and deploy scalable, production‑grade ML software and infrastructure that meets rigorous operational and ethical standards.
What You’ll Be Doing
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
Who We’re Looking For
Deep understanding of the full ML lifecycle and significant experience operationalising models built with TensorFlow or PyTorch
Strong software engineering background with robust Python skills, focusing on building reusable systems
Hands‑on experience with cloud platforms (AWS, Azure, GCP) – architecture, security and infrastructure
Extensive experience with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale
Thrives in fast‑paced, high‑growth environments, demonstrating ownership and autonomy in driving projects to completion
Exceptional communication skills, confidently guiding both technical teams and senior, non‑technical stakeholders
Our Recruitment Ethos We aim to grow the best team – not the most similar one. Diversity nurtures diverse thinking, strengthening our pursuit of truth. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some Of Our Standout Benefits
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family‑Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements but are excited by the role, please apply or email
talent@faculty.ai
for a confidential chat – we’re open to part‑time or condensed hours.
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Compétences linguistiques
- English
Avis aux utilisateurs
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