Machine Learning Engineer

Goliath Partners Inc.; Royal Borough of Greenwich; Hybrid; GBP 275,000 - 425,000; Full time

Benefits offered by this job

Hybrid London office

DOE compensation

Job summary

Goliaths is seeking a mid-level Machine Learning Engineer for our London office with hybrid working options (1–3 days on-site). The role focuses on portfolio-wide alpha impact using foundational modelling for order flow and large language models to accelerate efforts across equities, options and futures.

Reporting directly to the CEO, you will work within a team of 40 PMs to advance quantitative strategies and ML-driven analytics, with compensation competitive and dependent on experience (DOE).

Qualifications

• Interest in the financial space (internships, commercial experience or personal projects).
• Extensive experience in Machine Learning.
• Core understanding of Python.

Responsibilities

• Develop foundational modelling for order flow and LLMs to accelerate alpha across equities, options and futures.
• Collaborate with CEO and PMs to implement portfolio-wide alpha impact.

Skills

Machine Learning

Finance space interest

Python

Education

Maths/Statistics/OR/Econometrics degree

Tools

C++17

Job description

A forward thinking investment firm of Goliaths is hiring a mid-level Machine Learning Engineer in their London office on a hybrid basis. Firm is 1-3 days on-site and is willing to wait for full non-compete terms of up to 24~ months for the correct person.

The role will be reporting directly into the CEO (team of 40 PMs) and will consist of portfolio-wide alpha impact using foundational modelling for order flow & LLMs to accelerate efforts across equities, options & futures.

Essential skills:

• Interest in the financial space (ideally internships, commercial experience or personal projects built to date). Alternatively mathematics, statistics, ops research or econometrics related degree.
• Extensive experience in Machine Learning.
• Core understanding of Python.

Beneficial skills:

• Research publications & experience in foundational modelling.
• Prior knowledge of C++17.
• Working in the capacity of a 'Research Engineer' currently.

Compensation:

Our client is looking at offering £275,000-425,000 for this person DOE.