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Unlikely in London
Discover Your Next Career Move with Us!
Are you excited about joining our team but can't find a role that matches your skills and experience on our website? We’re always on the lookout for exceptional talent and motivated individuals who can bring fresh perspectives and new ideas. If you’re eager to make a difference and contribute to our success, we want to hear from you. We’d love to speak with you so we can bear you in mind for future opportunities as we grow.
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.
Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.
Location:
We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.
Compensation:
Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.
Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.