Senior ML Engineer — High-Performance Python & HPC

Longshot Systems Ltd; Greater London; Hybrid; GBP 45,000 - 65,000; 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

A technology company in the United Kingdom is seeking a Machine Learning Engineer to join their modeling engineering team. The role involves converting trading models into production systems, designing necessary tooling, and supporting strategy research and development. The ideal candidate will have a strong foundation in Python and C++, alongside experience in high-performance computing. Hybrid working is supported, and various perks such as a bonus scheme and healthcare are offered.

Qualifications

• Strong software engineering background.
• Significant experience with the Python ML stack.
• Systematic and analytical approach to problem-solving.

Responsibilities

• Convert prototype trading models into production-ready systems.
• Design and build tooling, frameworks, and data engineering for strategy research.
• Architect high-level design of strategy software to minimize trading latency.

Skills

Python programming

C/C++ proficiency

High performance computing

Multi-threading

Data engineering

Education

Degree in a quantitative, technical subject

Tools

NumPy/SciPy stack

Linux platforms

Data engineering libraries (Dagster, Prefect)

Machine learning libraries (scikit-learn, Pytorch, Tensorflow)

Job description

A technology company in the United Kingdom is seeking a Machine Learning Engineer to join their modeling engineering team. The role involves converting trading models into production systems, designing necessary tooling, and supporting strategy research and development. The ideal candidate will have a strong foundation in Python and C++, alongside experience in high-performance computing. Hybrid working is supported, and various perks such as a bonus scheme and healthcare are offered.