MLOps Engineer, Faculty
2+ days a week in office (Old Street office, London)
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
2+ days a week in office (Old Street office, London)
201-500 employees
Company mission
The safe, widespread adoption of AI.
Role
Who you are
- You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch
- You possess strong Python skills and solid experience in software engineering best practices
- You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security
- You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
- You are comfortable with core ML concepts, including probability, statistics, and common learning techniques
- You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders
- You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions
- 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
What the job involves
- Join us as a MLOps Engineer to deliver bespoke, impactful AI solutions for our diverse clients
- You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems
- Building and deploying production-grade ML software, tools, and infrastructure
- Creating reusable, scalable solutions that accelerate the delivery of ML systems
- Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges
- Leading technical scoping and architectural decisions to ensure project feasibility and impact
- Defining and implementing Faculty’s standards for deploying machine learning at scale
- Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders
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
$40.5m
SERIES A
Total funding: $53.1m
Company benefits
- Dental cover - 100% of dental fees covered, up to £500, including checkups and hygienist.
- Optical Cover - 100% of the cost of prescribed glasses and contact lenses up to £300 a year.
- 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 and chair.
- 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, 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
- Paid Maternity, Paternity, Adoption or Shared Parental Leave - we offer a progressive, gender neutral and generous parental leave policy here at Faculty. All parents are given 15 weeks leave at full pay in addition to statutory time off after 12 months of service.
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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