AI Placement - 2027 (Imperial 6 month placement, April - September 2027)

Marshall Wace Internship Programmes; Greater London; On-site; GBP 25,000 - 30,000; Full time

Job summary

Marshall Wace in London offers an AI Placement for Imperial MEng students for a 6-month period (April–September 2027). You will write production code, ship features, and own deliverables from day one within AI-focused teams that serve Finance, Operations, Risk, Trading and Portfolio Management.

You'll gain hands-on engineering experience across Python and ML/AI topics, building platforms, pipelines and models while learning how a systematic hedge fund applies AI technology in its workflows.

Qualifications

• Must have covered AI/ML topics in studies.
• ML coursework or personal projects are an advantage.
• Demonstrated interest in machine learning and AI.

Responsibilities

• Write production code and ship features in AI platforms.
• Develop backend services and LLM pipelines.
• Own projects end-to-end from design to review.

Skills

Strong coding

Python

ML/AI interest

Education

Imperial MEng student

Job description

AI Placement - 2027 (Imperial 6 month placement, April - September 2027)

London

Join our AI Development teams in London for a 6-month placement where you'll work directly on projects that support Finance, Operations, Risk, Trading and Portfolio Management. This isn't a shadowing programme - you'll be writing production code, shipping features and owning deliverables from day one.

You'll leave with real engineering experience across a range of technologies, a working knowledge of financial markets, and a strong foundation for a career in tech.

About the programme

For Imperial MEng students, over six months, you'll sharpen your skills in AI, software engineering and programming while building a practical understanding of how a systematic hedge fund operates.

You'll join one of our AI-focused teams, which build the services, models and data assets that bring generative AI into Marshall Wace's investment and operations workflows. The goal is straightforward: make it possible for every engineer in the firm to use AI/ML effectively, without needing to be a specialist. Our team holds that specialist knowledge - and during your placement, you'll develop it too.

Day to day, you could be adding features to our AI platform, developing backend services, building LLM pipelines or improving our RAG engine. You'll own specific projects end to end - from design through development, implementation and review - not just contribute to someone else's. For those with a strong interest and aptitude in machine learning, there will also be the opportunity to design and train models for use cases across the firm.

Candidate profile:

• Strong coding ability, ideally in Python
• Demonstrated interest or coursework in Machine Learning and AI (through personal projects & research)
• Curiosity about financial markets (no prior finance experience required)

Please note:

We're looking for candidates who've already covered AI/ML topics in their studies and can demonstrate genuine technical depth in this area. Prior project work or coursework in machine learning will be an advantage, particularly personal projects showing your interest.

Note that this role is specifically for the Imperial MEng course.

Note: we are able to offer VISA sponsorship for this role. This will not impact your application, it is to help our administrative processes.

Note: if you have already graduated or, is set to graduate in 2025 we recommend looking at our graduate roles instead. We do not offer same year conversion opportunities.