Software Engineering Manager - Machine Learning- Systematic Quant Fund

eFinancialCareers; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

eFinancialCareers in London, UK is seeking 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.

Qualifications

• 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.

Responsibilities

• Head a small team of 6–7 engineers and set technical direction.
• Lead integration of advanced ML capabilities into real‑world systems.
• Drive scalable deployment and production‑grade ML infrastructure.
• Provide hands‑on leadership in a deeply technical environment.

Skills

Team leadership

Python

C++/Java

ML infrastructure

Job description

Location: London, UK

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.

Contact

If you think you’re a good match for the role and would like further info, please contact:

Ali Wilson

(+44) in/alexander-wilson-050