Software Engineering Manager – Machine Learning

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

Job summary

A top quantitative fund in London is seeking an experienced Engineering Manager/Tech Lead to lead a high-performing team focused on machine learning infrastructure. In this hands-on leadership role, you will direct the development of advanced ML capabilities and manage a team of 6–7 engineers. The ideal candidate has over 8 years in software engineering with expertise in distributed systems and strong skills in Python. This position offers a short interview process and significant responsibilities.

Qualifications

• 8+ years in software engineering, including team leadership.
• Deep ML infra & distributed systems expertise.
• Proven ability to build and scale complex, production-grade systems.

Responsibilities

• Own technical direction and lead a team of 6–7 engineers.
• Drive integration of advanced ML capabilities into systems.
• Ensure successful deployment of scalable ML infrastructure.

Skills

Software engineering

Team leadership

Machine learning infrastructure

Python

C++

Java

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.

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.