Senior Machine Learning Ops Engineer, Faculty
Machine Learning Ops
More information about location
Enabling clients to use cutting edge AI to improve the performance of their business
Posted today
Enabling clients to use cutting edge AI to improve the performance of their business
201-500 employees
Posted today
More information about location
201-500 employees
Company mission
To help organisations across the public and private sectors use AI to understand more deeply, make better decisions and act faster.
Role
Who you are
- You will need to be eligible for UK Security Clearance (SC)
- 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
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat
- Please know we are open to conversations about part-time roles or condensed hours
What the job involves
- 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
- As a Senior Machine Learning Ops 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
- 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
Application process
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
Salary benchmarks
Our take
Foreseeing the AI boom as far back as 2014, Faculty was founded to ensure the technology could be implemented where it was needed most. A European leader in applied AI, Faculty helps its clients accelerate and execute their highest priorities, whether that be new drug development, bringing renewable energy online or defending against terrorist attacks. It works with organisations such as OpenAI and Anthropic to ensure their latest AI models are safe, human-led and explainable.
The PhD-heavy team has delivered long-term impact for important organisations across healthcare, communications and counter-terrorism and has published papers on AI safety alongside leading universities. As a major voice concerning the safe use of artificial intelligence, Faculty's CEO has sat on the government's AI council and was invited to the first-ever AI Safety Summit.
With 10% of the UK's science and maths PhD holders applying for Faculty's talent programme, it remains a major pioneer in the space. It's shaping how we think about and implement AI, and will continue to be a prominent figure in the sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2019
$10.5m
SERIES A
Oct 2019
$41.5m
SERIES A
Total funding: $54.1m
Company benefits
- Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!
- Equity, we want you to benefit from Faculty’s growth and success
- Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
- Fantastic private health, optical and dental cover, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
- Access to mental health coaching with Sanctus
- Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
- We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
Company values
- Grow the Best Team - Only hire people you’re convinced will make Faculty better. Take others’ development as seriously as your own. Build strong and collaborative teams
- Do Great Work - Master your craft. Take pride in your work, even when no one is watching. Demand the highest standards from yourself and others. Work hard, but do it sustainably
- Be Humble & Kind - Recognise that you’re always learning, and have something to learn from everyone. Always make the decision that is best for faculty, but treat people kindly as you do it
- Act with Integrity - Have the courage to maintain integrity even when it’s costly to do so. Demand this from others without hesitation
- Seek Truth - Seek the truth over winning the argument. Understand the root cause. Create an atmosphere in which the best idea succeeds, regardless of who or where it comes from.
- Maximise Impact - Care about the impact of your work. Find the thing that is most important to your customer. Design the best solution, not just what’s easiest or fashionable. Get it done fast. Make sure nothing falls through the cracks.
Company HQ
Old Street, London, UK
Articles
Leadership
Marc Warner
(CEO)Previously a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing.
Andrew Brookes
(CTO)Previously a CTO at Hillgate and Vice President at BlackRock.
Angie Ma
(Co-Founder)Previously a Scientific Consultant at Bio Nano Consulting.
Diversity, Equity & Inclusion at Faculty
Angie Ma (Co-Founder)
- AI changes everything, and so must we to make sure our people reflect the real diversity of society. We believe that recruiting talent with diverse experiences, perspectives and backgrounds encourages people to think differently and be more creative
- We welcome difference whether it’s ethnicity, religion, age, gender, gender identity, sexual orientation or disability so please be yourself!
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