Software Engineering Manager - Machine Learning- Systematic Quant Fund | London, UK

Oxford Knight; London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading recruitment agency is seeking an experienced Software Engineering Manager. This role focuses on core machine learning infrastructure and includes leading a high-performing team. The ideal candidate has over 8 years of software engineering experience, team leadership capabilities, and expertise in machine learning and distributed systems. This is a hands-on leadership position in a 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

• Own technical direction and lead a high-performing team.
• Drive integration of advanced ML capabilities into real-world systems.
• Manage distributed model training and LLM hosting.

Skills

Software engineering

Team leadership

Machine learning infrastructure

Distributed systems expertise

Python

C++

Java

Job description

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager - Machine Learning

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.

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
[e-mail]
([phone]
linkedin.com/in/alexander-wilson-050

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