Software Engineering Manager - Machine Learning- Systematic Quant Fund

ZipRecruiter; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A top quantitative fund in London seeks an experienced Engineering Manager to lead a high-performing team focused on core machine learning infrastructure, including distributed model training and scalable deployment systems. The role combines technical leadership with hands-on management, perfect for a leader with over 8 years of experience in software engineering and expertise in machine learning systems.

Qualifications

• 8+ years in software engineering experience.
• Deep understanding of ML infrastructure and distributed systems.
• Proven ability to build and scale complex, production-grade systems.

Responsibilities

• Lead and set technical direction for ML infrastructure projects.
• Deliver distributed model training and scalable deployment systems.
• Drive integration of advanced ML capabilities into real-world systems.

Skills

Software engineering experience

Team leadership

Deep ML infrastructure expertise

Strong Python skills

Knowledge of C++/Java

Job description

Overview

Location: London, UK. Top Quant fund seeks 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.

Responsibilities

• Lead 6-7 engineers and set technical direction for ML infrastructure projects.
• Own and deliver distributed model training, LLM hosting/fine-tuning, and scalable deployment systems.
• Drive the integration of advanced ML capabilities into real-world, high-stakes systems.
• Foster a hands-on leadership approach in a highly 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

Not a fit

Not a fit for junior or first-time managers.

Contact

Ali Wilson
Email: [e-mail]
Phone: [phone]
LinkedIn: linkedin.com/in/alexander-wilson-050