Entry-level and Graduate AI Jobs

"Entry-level" at an AI company is a wider category than the same label at a traditional tech employer. It covers people from three pretty different starting points:

1. Graduates from a quantitative degree. Computer science, maths, physics, statistics, sometimes economics or cognitive science. Often hired into research-adjacent roles or applied engineering.
2. Career-changers from a domain. Lawyers, clinicians, marketers, designers who've started using AI seriously in their existing work. Often hired into forward-deployed, solutions or applied roles where the domain knowledge is the rarer ingredient.
3. Self-taught builders. People who've shipped something — an MCP server, a small product, a tool, a research replication. The portfolio is the signal; the degree is irrelevant.

If you're in any of those three groups, the roles below are open to you. AI companies are not trying to filter for ten-year veterans of an industry that didn't exist three years ago. They're trying to filter for evidence that you can do the work. A reproducible MCP server or a written-up local-LLM benchmark on your GitHub counts for more than a CV pivot.

If you don't yet have any of those signals, the Beginner resources block at the foot of this page is the cheapest place to start. An afternoon there closes most of the gap most employers care about.