IMC
Graduate Deep Learning Researcher - London
London, United Kingdom +1 · Full-time · Posted Jul 6, 2026
- Location
- London, United Kingdom
New York, United States - Experience
- No specific number of years stated.
- Education
- Minimum MSc in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field; PhD preferred.
- Visa sponsorship
- IMC cannot obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus, or Iran and attend university in one of those countries. Ukrainian citizens must confirm they hold a biometric passport for sponsorship. Applicants residing or studying elsewhere who have Netherlands work authorization or are eligible to work without sponsorship are encouraged to apply.
About the job
Develop and improve deep learning models and research methods that enhance trading performance, supporting work from research through production deployment.
What you'll do
- Build and improve deep learning models for trading across asset classes, guided by senior researchers.
- Research emerging deep learning techniques and support data curation, model training infrastructure, and deployment pipelines.
- Track and share academic and industry developments in deep learning.
What they ask for
- Currently in the final year of study and graduating in 2027.
- Minimum MSc in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field; PhD preferred.
- Demonstrated deep learning research or applied machine learning experience; research contributions at leading ML venues are expected for PhD candidates.
- Hands-on modern deep learning architecture experience, strong theoretical foundations, and strong Python skills with a modern deep learning framework.
Nice to have
- Research contributions published at leading ML venues (e.g., NeurIPS, ICML, ICLR) for PhD candidates.
- Experience with transformers, sequence models, representation learning, self-supervised learning, and/or generative models.
Tools
Python, PyTorch, JAX, TensorFlow
AI focus
Deep learning research and model development for trading, including representation learning, transformers, foundation models, generative AI, reinforcement learning, self-supervised learning, and multimodal learning.
Model-written summary · the original posting is authoritative