Senior Machine Learning EngineerLongshot Systems • London, England, United Kingdom
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Senior Machine Learning Engineer
Longshot Systems
- London, England, United Kingdom
- London, England, United Kingdom
Über
Role Overview We’re hiring Machine Learning Engineers for our modelling engineering team. You would be working closely with the quantitative research teams to turn prototype trading models into production‑ready systems, design and build the tooling, frameworks and data engineering required to support strategy research and development, as well as architecting the high‑level design of the strategy software to minimise trading latency and scale effectively. Our ML stack is Python based and utilises modern ML libraries and tooling including Polars, Ray, Plotly etc.
Responsibilities
Work closely with quantitative research teams to convert prototype trading models into production‑ready systems.
Design and build the tooling, frameworks and data engineering required to support strategy research and development.
Architect the high‑level design of strategy software to minimise trading latency and scale effectively.
Interview Process
Intro call (30 mins) – your background + interests
1st Technical interview (30 mins) – live code review & pair programming
2nd Technical interview (60 mins) – deep dive technical questions
Full assessment day (10:30‑5 pm) – a one‑day programming exercise designed to be similar to the real work we do in the team
Requirements
A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics) from a top university
Significant software engineering skills and experience, especially on the modern Python ML stack
Takes pride in engineering excellence and encourages best practice in others
A systematic, analytical approach to tackling problems and designing solutions
Experience with
Python programming
Proficient in C/C++ on modern architectures
Experience with the NumPy/SciPy stack
Working with Linux platforms with knowledge of various scripting languages
Strong general high performance computing:
Multi‑threading
Profiling Python/C/C++ and performance optimisation
Networking
Nice to Have
Data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc.
Experience optimising dataframe code, e.g. in Pandas or ideally Polars.
Experience of machine learning techniques and related libraries and frameworks e.g. scikit‑learn, Pytorch, Tensorflow etc.
Experience in scientific computing with other languages & frameworks.
Benefits
Participation in uncapped company bonus scheme
10% matched pension contributions
Private healthcare insurance
Long‑term illness insurance
Gym membership
Seniority Level Mid‑Senior level
Employment Type Full‑time
Location London (Farringdon) office; hybrid – Thursdays in office, flexible rest of the week
Work Hours 10 am to 6 pm UK time, Monday – Friday (supports flexible working)
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Sprachkenntnisse
- English
Hinweis für Nutzer
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