Machine Learning Researcher
wintermute-trading
| Company | wintermute-trading |
| Category | Data & Analytics |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 18 Nov 2025 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (lever) |
Description
About Wintermute
Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.
Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.
Working at Wintermute
You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data.
You will focus on developing alpha signal generation pipelines from data ingestion and feature engineering to model training and deployment, in collaboration with our trading and infrastructure teams.