Join us

Opportunities at ForkIQ

We are building a small, focused team working on AI-driven systems for research, data, and investment decision-making.

At this stage, we are particularly interested in interns who want to work on real-world problems at the intersection of artificial intelligence, data systems, and investment research.

We value curiosity, clear thinking, and the willingness to engage with complex, ambiguous problems. Background matters less than mindset.

Internship

AI Engineering & Investment Intelligence Internship

Remote Open now UK-based company

About the role

This role is suited to candidates interested in both technical and analytical work across AI, data, and finance-related domains. You will work on real, substantive problems — not toy exercises — with direct exposure to the systems and decisions that matter.

You may work on

  • Building and testing AI and machine learning models
  • Developing agentic systems and automated workflows
  • Working with real-world datasets, including financial and market data
  • Designing and improving data pipelines and analytical infrastructure
  • Supporting research and information processing workflows
  • Developing tools for analysing companies, markets, and sectors
  • Experimenting with systems that assist interpretation and decision-making

Areas of interest

We are particularly interested in candidates with exposure to one or more of the following:

AI and machine learning Agentic systems and automation Data engineering Analytical infrastructure Financial data and market analysis Investment research Technology-driven decision-making

What we look for

  • A strong interest in AI, data, or investment-related analysis
  • The ability to think clearly about complex problems
  • Comfort working with both technical and analytical concepts
  • Curiosity and genuine willingness to learn
  • The ability to work independently and take initiative

Programming experience is useful, but strong analytical thinking and genuine interest in the space are equally important.

Working style

Remote-first
Flexible structure
Project-based work
Learning & experimentation

Ready to apply?

For full details and to submit an application, please complete our application form.

Apply via Application Form Questions about the role? Contact us at hello@forkiq.ai