About ExploreAI



35 Brickfield Rd, Woodstock, Cape Town, 7925

Company Size


What we do

  • ExploreAI is a global, cutting-edge consultancy, AI solutions developer, and Academy. We are proud of our domain expertise in the utilities, insurance, banking, and telecommunications industries. We have offices in London, Cape Town, Johannesburg, Durban, and Mauritius. We provide consulting services to clients in the UK, the US, the Nordics, and South Africa. We believe that people with the right attitude and aptitude can change the world, and that’s what we’re set on doing.
  • At our core is the ExploreAI Academy. This is a world-class learning institution educating thousands of students a year in data science and data engineering. Students solve real-world problems in teams and leave our programme adequately prepared for the workplace thanks to the content in our Professional Development curriculum and the project-based nature of the coursework.

Why work for us + our culture

  • We’re a diverse team full of extremely smart people, many of whom have post-graduate degrees.
  • You’ll work in a fast-growing scale-up which has doubled its revenue annually for seven years and which conducts its business on the bleeding edge of AI and machine learning consulting.
  • If you don’t work on the consulting side, you’ll work in our Academy to help craft, deliver, or market our data science and data engineering courses to tens of thousands of deserving young people each year.
  • We back the maturity of the Explorers we hire. There is nobody tracking your leave, and as long as you get your work done (and there’ll be lots of it!) you can work whenever and from wherever you like.

Our hiring process

  1. An initial intro chat with one of the team to chat through your CV and experience, and what we do at ExploreAI.
  2. A technical session where we assess your skills and experience.
  3. The results from 1 and 2 are reviewed by leadership from the division the role is in. You’ll then be invited to a ‘ways of working’ chat with someone from that leadership team to assess culture fit.
  4. If it's an obvious fit, an offer is sent your way!
  5. Should we find you not to be suitable for the division or role you applied for, we will first consider you for open positions in other areas before indicating that your application is unsuccessful.

Our engineering environment

  • ExploreAI develops cloud-native AI digital twin ecosystems across both AWS and Azure. The data-intensive AI solutions we’ve created have won multiple awards in the UK, and are deployed across the UK, the US, and South Africa.
  • Whilst we prefer learning and using the best tools for the job at hand, our workhorse languages are mostly Python, typescript, and javascript with React on our very visual and dynamic front ends. We use Databricks, Azure Data Factory, and Snowflake as big components in our data architecture.
Competitive salary and performance-linked bonuses
Annual study budget and study leave for permanent employees
Flexible hours
Shiny Apple MacBooks
Choose your remote/office ratio (from 0 – 1)
Tech Stack

Application and Data

Amazon S3
Amazon EC2
Microsoft Azure
Amazon Web Services




Amazon Route 53
Amazon SES
Google Analytics
Power BI

Business Tools

Google Apps
Microsoft Sharepoint
Full-time students working in our Woodstock Academy campus (pre-COVID).
Academy staff on the team getaway to Hartebeespoort in 2020.
We are an AWS African partner.
Explorers at the 2022 UK IT Industry Awards
ExploreAI's Cape Town office at sunset.
A snippet from our 2023 JuneDo