Senior MLOPs Engineer
Role Overview
This senior-level role involves leading the development and deployment of scalable, production-grade machine learning systems for diverse clients, focusing on designing ML software, infrastructure, and best practices. The engineer works cross-functionally with teams like data scientists and product managers to solve client challenges and mentor junior engineers, with a significant impact on high-stakes AI applications in defense and other sectors. Day-to-day responsibilities include technical scoping, architectural decisions, and client-facing advisory, requiring autonomy in fast-paced environments.
Perks & Benefits
The role offers hybrid remote work, with flexibility to work from home or the London office when not required on client sites, though it involves 2-4 days per week on-site in the UK for defense clients, implying UK-based time zone expectations. Benefits include unlimited annual leave, private healthcare and dental, enhanced parental leave, family-friendly flexibility, and coaching, fostering a supportive and diverse culture with opportunities for career growth through mentoring and leadership in technical projects.
Full Job Description
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.
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. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
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 team
Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty.
Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK.
When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
#LI-PRIO
About the role
As a Senior MLOps, 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.
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:
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
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 and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
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