Low-Latency ML Engineer (Python/C++)

Longshot Systems Ltd; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Private healthcare insurance

Long term illness insurance

Gym membership

10% matched pension contributions

Job summary

Longshot Systems Ltd is hiring Machine Learning Engineers to design, build and productionise ML pipelines and data workflows. You'll work on a hybrid Python/C++ stack, with an emphasis on low-latency components and scalable strategy software for sports betting analytics.

You will collaborate with quantitative research teams to turn prototypes into production systems, optimise architecture, and support cloud and containerised environments. Hybrid London-based role with flexible scheduling.

Qualifications

• A degree in a quantitative, technical subject from a top university.
• Strong software engineering background with production-grade ML pipelines.
• Experience building low-latency, high-performance components in a hybrid Python/C++ environment.
• Familiarity with CI/CD, containerisation, and automated testing.
• Experience with cloud platforms (AWS, GCP or Azure).
• Comfortable working in a Linux environment.

Responsibilities

• Design, build, and productionise ML pipelines and data workflows.
• Develop tooling, visualisation, and frameworks for research and trading platforms.
• Collaborate with quantitative research teams to productionise models.
• Help shape architecture for scalable, low-latency strategy software.

Skills

Python programming

C++ programming

ML pipelines

Data engineering

Linux

Software design

Performance optimization

CI/CD

Education

Bachelor's degree in a quantitative/technical subject

Tools

Docker

Kubernetes

AWS

GCP

Azure

Polars

NumPy

PyTorch

scikit-learn

TensorFlow

Dagster

Prefect

Job description

Longshot Systems Ltd is hiring Machine Learning Engineers to design, build and productionise ML pipelines and data workflows. You'll work on a hybrid Python/C++ stack, with an emphasis on low-latency components and scalable strategy software for sports betting analytics.

You will collaborate with quantitative research teams to turn prototypes into production systems, optimise architecture, and support cloud and containerised environments. Hybrid London-based role with flexible scheduling.