AI Engineering Intern – 6-Month Placement

Permutable; Greater London; Hybrid; GBP 18,000 - 24,000; Full time

Benefits offered by this job

Six-month internship

Job summary

Permutable AI in London is seeking a motivated AI Engineering Intern for a six-month placement hybrid. You will work with AI engineers, quantitative researchers and software developers on real-world financial applications, using LLMs, NLP pipelines and machine learning systems.

This hands-on role goes beyond theory: you'll contribute to production-ready code, datasets and AI tools used by institutional clients, with mentorship from experienced engineers, researchers and a path to practical

Qualifications

• Exceptional STEM background.
• Foundational understanding of machine learning, artificial intelligence or natural language processing.
• Understanding of APIs, data structures and software development principles.

Responsibilities

• Experiment with large language models (LLMs), including open-source and commercial models.
• Assist in building and testing multi-agent AI systems capable of researching, reasoning and analysing complex information.
• Develop and evaluate NLP pipelines for extracting entities, events, topics and sentiment from unstructured text.
• Help create automated workflows for processing and analysing large volumes of financial and economic information.
• Support the development of AI evaluation frameworks to measure accuracy, consistency, latency and reliability.
• Help integrate AI models into existing applications and APIs.

Skills

Foundational ML/AI/NLP knowledge

Familiarity with LLMs

API knowledge

Education

Recent graduate in Computer Science, Artificial Intelligence, Mathematics, Engineering, Data Science or related technical subject

Job description

Location: London / Hybrid

Duration: 6 months

Start Date: Flexible

Compensation: Competitive, dependent on experience

About Permutable AI

Permutable AI is an award-winning UK-based artificial intelligence and market intelligence company developing advanced AI-powered solutions for global financial markets.

Recognised for innovation by Hedgeweek and Euromoney in 2026, Permutable AI is at the forefront of applying artificial intelligence to financial market intelligence and systematic investment research.

We transform large volumes of real-time news, economic information and alternative data into structured intelligence, predictive signals and systematic investment strategies used by institutional investors, hedge funds and trading desks.

Our technology combines large language models (LLMs), natural language processing (NLP), machine learning and quantitative analytics to help financial institutions understand and anticipate changes in global markets.

We are building towards a broader vision: creating a real-time, AI-powered model of the global economy, capable of interpreting world events, identifying emerging risks and forecasting their potential impact on financial markets.

About the Role

• We are looking for a motivated and technically curious AI Engineering Intern to join Permutable AI for a six-month placement.
• You will work alongside our AI engineers, quantitative researchers and software developers to help build, test and improve AI systems used in real-world financial applications.
• This is a hands-on engineering role offering exposure to modern AI technologies, including large language models, agentic AI, NLP pipelines and machine learning systems.
• Rather than working on isolated academic exercises, you will contribute to projects involving real datasets, production systems and AI applications used by institutional clients.

What You'll Do

• Experiment with large language models (LLMs), including open-source and commercial models.
• Assist in building and testing multi-agent AI systems capable of researching, reasoning and analysing complex information.
• Develop and evaluate NLP pipelines for extracting entities, events, topics and sentiment from unstructured text.
• Help create automated workflows for processing and analysing large volumes of financial and economic information.
• Support the development of AI evaluation frameworks to measure accuracy, consistency, latency and reliability.
• Help integrate AI models into existing applications and APIs.

What We're Looking For

• Exceptional STEM background
• Recently graduated in Computer Science, Artificial Intelligence, Mathematics, Engineering, Data Science or a related technical subject.
• Foundational understanding of machine learning, artificial intelligence or natural language processing.
• Familiarity with LLMs and an interest in how they can be applied to real-world problems.
• Understanding of APIs, data structures and software development principles.

What You'll Gain

• Six months of practical AI engineering experience in a commercial environment.
• Exposure to cutting-edge LLMs, agentic AI and applied machine learning.
• Experience working with large-scale, real-world datasets.
• Opportunities to contribute to systems used by institutional financial clients.
• Direct collaboration with experienced engineers and quantitative researchers.
• Experience taking AI projects from experimentation through to deployment.