
Software Engineering Manager - Machine Learning- Systematic Quant Fund
Why this role stands out
Lead a talented team building cutting-edge ML infrastructure at a top quant fund, driving technical direction and impacting high-stakes systems. This hands-on leadership role offers significant growth potential for experienced engineering managers with deep ML infra and distributed systems expertise in a hybrid London setting. Apply now to shape the future of quantitative finance.
Quick overview
Job description
Top Quant fund an experienced Engineering Manager / Tech Lead Manager to head a small, high-performing team focused on core ML infrastructure - distributed model training, LLM hosting/fine-tuning, and scalable deployment systems.
You'll own technical direction, lead 6-7 experienced engineers, and drive the integration of advanced ML capabilities into real-world, high-stakes systems. This is a hands-on leadership role within a deeply technical environment. Short interview process.
You should have:
- 8+ years in software engineering, including team leadership
- Deep ML infra & distributed systems expertise
- Strong Python; working knowledge of C++/Java
- Proven ability to build and scale complex, production-grade systems
Not a fit for junior or first-time managers.
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you think you're a good match for the role and would like further info, please contact:
Ali Wilson
ali.wilson@oxfordknight.co.uk
(+44) 07412908641
linkedin.com/in/alexander-wilson-050
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