Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Our suite of AI services and products spans everything organisations need to access frontier AI and get it into the hands of their frontline teams to support their most important work. Widely recognised as a leader in AI safety, we work closely with the world’s leading AI labs, such as OpenAI and Anthropic, to ensure their latest models are safe, human-led and explainable.
Our expertise spans working with Boards, leadership teams and governments to develop a robust AI strategy, designing, building and implementing high-performing AI solutions, and equipping organisations with the knowledge and skills they need to thrive in the AI era. Our PhD-heavy team of deep AI experts has delivered hundreds of real-world AI projects to improve critical public services and drive sustained economic returns across every sector of the economy. Headquartered in London, Faculty remains founder-led and has since raised over £40m from investors including The Apax Digital Fund, LocalGlobe and GMG Ventures.
Rating Reviews
Rating is calculated based on
11
reviews and is evolving.
Pros: Working at Faculty as a Data Scientist, I've loved the strong focus on professional development and learning new AI/ML technologies. The culture is very collaborative; colleagues in the London office are supportive, which really aids career growth in the AI consulting industry. Plus, the hybrid work arrangement offers great flexibility.
Cons: Sometimes project deadlines are tight, creating busy periods. I've also noticed the internal promotion process can feel a bit slow compared to some other tech companies.
Advice to Management: Continue fostering a culture of learning and consider streamlining the internal promotion process for high-performing individuals to better recognize and reward career progression.
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Pros: The most significant pro is being part of a team that's at the forefront of AI in education. The work is genuinely interesting, and there's a strong sense of purpose. Collaboration is high, and the people are incredibly smart and supportive. I appreciate the opportunities to learn new technologies and contribute to impactful projects within the EdTech industry.
Cons: While flexibility is generally good, occasional high-pressure sprints can make work-life balance challenging. Some processes could be more streamlined to improve efficiency. Occasionally, cross-team communication could be clearer to avoid duplicated efforts, especially as the company scales. These are common startup challenges but worth noting.
Advice to Management: Continue investing in employee development and clear communication channels. Streamlining some operational processes could further boost team efficiency and morale.
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Pros: The projects here are genuinely interesting and often at the forefront of AI and data science. It's rewarding to work on tangible digital products with real impact. The team is full of smart, passionate people, and there's a strong emphasis on learning and sharing knowledge. The hybrid setup in London is quite convenient.
Cons: Project staffing can sometimes feel a bit fluid, leading to occasional shifts in team dynamics or focus. Depending on the client engagement, the pace can vary significantly. While there's good support, navigating internal processes can sometimes be a bit slow.
Advice to Management: Continue fostering a culture of open communication regarding project assignments and client roadmaps. This will help manage expectations and provide more consistent career development paths for all roles.
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What's the interview process like for a faculty position at a large university?
For a faculty role at a major research university, I had a screening call, a campus visit with multiple interviews, and a presentation of my research to faculty and students. The process was quite thorough, assessing my teaching and research potential for the university.
As a potential faculty member at a large university in Boston, what kind of background checks should I expect during the hiring process?
For faculty positions at big Boston universities, the hiring process often includes a standard background check covering criminal history and employment verification. It’s pretty thorough, ensuring a good fit for the academic community.
Does this university offer tuition reimbursement for faculty pursuing advanced degrees in education?
Yes, as a faculty member here, I found their education assistance program incredibly helpful for my Master's degree in educational leadership. The tuition reimbursement significantly reduced my out-of-pocket costs while I continued teaching at this university.
Is it possible to find remote faculty positions in the tech industry, perhaps with a medium-sized company?
Yes, I found a great remote faculty role in the tech sector with a mid-sized company that allows me to teach online courses from home, which really suits my lifestyle.
What is the typical hiring process for a faculty position at a university like this?
The faculty hiring process often involves submitting a CV, research statement, and teaching philosophy, followed by an initial screening interview, and then potentially an on-campus interview with the department and a presentation.
What's the typical dress code like for faculty members at universities in the education sector, specifically at a large research institution?
As faculty at a large research university, the dress code is generally business casual, but it really depends on your specific department and interactions. For lectures and office hours, smart casual works well, but for major presentations or meetings with industry partners, you might dress up a bit more.
What are the main benefits for faculty members at a large research university like ours in the tech industry?
As a faculty member here, I really value the comprehensive health insurance and the generous tuition remission for my dependents, which are significant perks for my family.
What is the typical working culture like at Faculty, especially for data scientists in London?
Faculty fosters a collaborative and intellectually curious work environment, encouraging knowledge sharing among teams. As a data science professional in London, you can expect opportunities to work on challenging projects with supportive colleagues who are passionate about technology and its impact.
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