AI & automation

Builds software that uses large language models and other AI models to do real work.

Builds software that reads images and video.

Builds chatbots and voice or text assistants that talk with customers, staff or citizens.

Turns data science models into software that runs in production.

Builds software that reads, sorts, searches and writes human language.

Designs the instructions, context and checks that help a large language model (LLM) give useful, reliable answers.

An AI trainer and data annotator prepares the data that machine learning models learn from.

Makes trained AI models run fast, reliably and at a sensible cost in production.

Gets machine learning models out of notebooks and into production, then keeps them running.

Designs and runs experiments to build new AI methods or adapt existing ones to business problems.

Helps organisations decide where AI will help and how to introduce it.

Decides what an AI-powered product should do, who it is for, and how to tell whether it works.

Builds working software inside a customer's business.

Designs and builds workflows that take over repetitive work.

Builds software bots that carry out repetitive computer tasks, such as copying data between systems, filling in forms and sending routine emails.

Designs, builds and tests robots and the software that runs them.

An AI governance and ethics specialist helps an organisation use AI safely and within the law.

Attacks AI systems on purpose to find weaknesses before real attackers or users do.