Quantitative ML Engineer - Production Models & HF Data

Upward Trend; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Upward Trend in London seeks an experienced Quantitative Developer focused on Machine Learning to join a collaborative investment team. You will translate ML research into production-ready models and signals, leveraging large-scale data and distributed infrastructure for efficient research-to-production workflows.

The role involves designing and deploying ML models across classical and deep learning approaches, building scalable pipelines, and partnering with tech teams to optimize platforms and

Qualifications

• Master's degree, PhD or postdoctoral qualification in Computer Science, Mathematics, Statistics, Engineering, Physics or a related quantitative discipline from a leading academic institution.

Responsibilities

• Design, train and productionise large-scale ML models.
• Enhance end-to-end ML pipelines including data processing and parameter search.
• Improve speed, scalability and reliability of research and signal development environments.
• Collaborate with technology teams to leverage internal platforms, tools and services.

Skills

Machine learning

Python

Distributed computing

C++ bindings

Agentic AI systems

Backtesting

Quantitative workflows

Research to production

Education

Master's or PhD in a quantitative field

Tools

Python

C++

Job description

Upward Trend in London seeks an experienced Quantitative Developer focused on Machine Learning to join a collaborative investment team. You will translate ML research into production-ready models and signals, leveraging large-scale data and distributed infrastructure for efficient research-to-production workflows.

The role involves designing and deploying ML models across classical and deep learning approaches, building scalable pipelines, and partnering with tech teams to optimize platforms and