Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.
We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.
As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll 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.
Задачи
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
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 understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
THE INTERVIEW PROCESS
Talent Team Screen (30 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial 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
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles
Условия
Private healthcare and dental
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ashbyОсновная публикация · 2025-08-14
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