Imperial College AI Engineer Intern
Internship
London
A few days at home
Salary: Not specified
Questions and answers about the job
The position
Job description
About Artificial
Help shape the future of specialty insurance
At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making.
We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth.
You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.
In 2024, we raised £8M in Series A+ funding led by Augmentum Fintech, with continued support from MS & A D Ventures and FOMCAP IV. It’s an exciting time to join us as we scale our impact in London and beyond.
If you're looking to do meaningful work that’s already changing the industry for the better, we’d love to hear from you.
Responsibilities
- Research, design, test, and implement novel algorithms and machine learning models for efficient document data extraction
- Collaborate with the Data Team to refine and optimise existing models for real-world applications
- Analyse model performance, troubleshoot, and propose solutions to enhance accuracy and efficiency
- Contribute to brainstorming sessions to push the boundaries of AI applications in insurance.
About you
For candidates at Imperial College London studying one of the following courses;
- MEng Computing
- MEng Joint Maths Computing
- MSc Artificial Intelligence
If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point.
Preferred experience
About Artificial
Help shape the future of specialty insurance
At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making.
We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth.
You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.
In 2024, we raised £8M in Series A+ funding led by Augmentum Fintech, with continued support from MS & A D Ventures and FOMCAP IV. It’s an exciting time to join us as we scale our impact in London and beyond.
If you're looking to do meaningful work that’s already changing the industry for the better, we’d love to hear from you.
Responsibilities
- Research, design, test, and implement novel algorithms and machine learning models for efficient document data extraction
- Collaborate with the Data Team to refine and optimise existing models for real-world applications
- Analyse model performance, troubleshoot, and propose solutions to enhance accuracy and efficiency
- Contribute to brainstorming sessions to push the boundaries of AI applications in insurance.
About you
For candidates at Imperial College London studying one of the following courses;
- MEng Computing
- MEng Joint Maths Computing
- MSc Artificial Intelligence
If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point.
Recruitment process
About Artificial
Help shape the future of specialty insurance
At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making.
We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth.
You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.
In 2024, we raised £8M in Series A+ funding led by Augmentum Fintech, with continued support from MS & A D Ventures and FOMCAP IV. It’s an exciting time to join us as we scale our impact in London and beyond.
If you're looking to do meaningful work that’s already changing the industry for the better, we’d love to hear from you.
Responsibilities
- Research, design, test, and implement novel algorithms and machine learning models for efficient document data extraction
- Collaborate with the Data Team to refine and optimise existing models for real-world applications
- Analyse model performance, troubleshoot, and propose solutions to enhance accuracy and efficiency
- Contribute to brainstorming sessions to push the boundaries of AI applications in insurance.
About you
For candidates at Imperial College London studying one of the following courses;
- MEng Computing
- MEng Joint Maths Computing
- MSc Artificial Intelligence
If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point.