Senior ML Engineer - Low-Latency Python/C++ Systems

Longshot Systems; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Participation in company bonus scheme

10% matched pension contributions

Private healthcare insurance

Long term illness insurance

Gym membership

Job summary

Longshot Systems in London is seeking Machine Learning Engineers to design, build and productionise ML pipelines and data workflows to support strategy research and development. You will work on a hybrid Python/C++ stack, optimize low-latency components, and shape the architecture of trading analytics software, collaborating with quantitative research teams.

The role offers a hybrid work model with a London office and flexible hours, and opportunities to work across core ML engineering and horse

Qualifications

• A degree in a quantitative, technical subject from a top university.
• Strong software engineering background in Python alongside solid expertise in modern C++ (C++23).
• Experience building, optimizing, and integrating low-latency performance-critical components in a hybrid Python/C++ environment.
• Strong experience designing and maintaining ML pipelines and data engineering workflows.
• Familiarity with CI/CD, containerisation (Docker, Kubernetes) and automated testing.
• Experience with cloud platforms (AWS, GCP or Azure).
• Comfortable working in a Linux environment.

Responsibilities

• Design, build and productionise ML pipelines, tooling, visualisation, frameworks and data engineering workflows to support strategy research, analysis and development.
• Collaborate with quantitative research teams to turn prototype trading models into production-ready systems.
• Shape the high-level architecture of our strategy software to scale and reduce trading latency.
• Work with a hybrid Python/C++ engineering stack, writing clean Python and high-performance C++ code.

Skills

Python

C++23

ML pipelines

Data engineering

CI/CD

Docker

Kubernetes

Cloud platforms

Linux

Education

Bachelor's degree in a quantitative field

Job description

Longshot Systems in London is seeking Machine Learning Engineers to design, build and productionise ML pipelines and data workflows to support strategy research and development. You will work on a hybrid Python/C++ stack, optimize low-latency components, and shape the architecture of trading analytics software, collaborating with quantitative research teams.

The role offers a hybrid work model with a London office and flexible hours, and opportunities to work across core ML engineering and horse