Python ML Engineer- Tech-Driven Global Hedge Fund

Oxford Knight; London; On-site; GBP 50,000 - 120,000; Full time

Job summary

Join a prestigious technology team at a leading hedge fund as an AI enthusiast. In this role, you will develop innovative machine learning solutions that push the boundaries of what's possible. Collaborating with various teams, you will leverage your expertise in Python, data analysis, and AI tools to create impactful solutions. This is a unique opportunity to shape the technology landscape in a flat-structured, no-attitude environment, where your contributions will be valued and recognized. If you're passionate about AI and eager to make a difference in the financial sector, this role is perfect for you.

Benefits

Competitive salary

Generous bonuses

Personal development allowance

Central London office

Collaborative environment

Regular social events

Annual company trips

Team offsites

Qualifications

• Passion for AI and strong Python development skills required.
• Experience with data analysis tools like Numpy, Scipy, and Pandas.

Responsibilities

• Develop a cutting-edge platform for machine learning across the firm.
• Collaborate with teams to understand needs and implement solutions.

Skills

Python

Machine Learning

Data Analysis

Numpy

Scipy

Pandas

Linux

Collaborative Software Engineering

Agile Methods

Financial Markets Knowledge

Education

Degree in Computer Science

Degree in Mathematics

Degree in Engineering

Degree in Physics

Tools

NLTK

Document Search Tools

Generative Models

Job description

The Client

One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment.

The Role

Looking for a keen AI enthusiast to join the small, agile Machine Learning group, where you will help facilitate the use of machine learning tools company-wide, in particular generative AI.

Your primary focus will be to develop a cutting-edge platform used by teams across the firm. Collaborating closely with these teams and individuals to deeply understand their needs, you'll guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet requirements. Offering the opportunity to make significant contributions across the business, you'll develop solutions to problems which until recently were considered impossible, or extremely difficult, to solve.

Their core systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they're also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on.

Requirements

1. Passion for AI engineering, someone who stays up to date with major advancements in AI tools and models
2. Strong development knowledge of Python
3. Experience of data analysis techniques, plus numpy, scipy, pandas, etc.
4. Solid Linux platforms experience with various scripting languages
5. Proponent of collaborative software engineering techniques and agile methods
6. Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university
7. Keen interest & understanding of financial markets

Nice to have

1. Prior experience of language processing techniques or toolkits such as NLTK
2. Experience designing or utilizing document search tools
3. Experience utilizing or fine-tuning generative models (e.g. large language models or diffusion-based models)

Benefits

1. Competitive salary + generous bonuses
2. Extra perks including a personal development allowance and sponsorship
3. Central London office with a very smart, friendly tech team
4. Flat-structured, transparent and collaborative environment, 'no-attitude' culture
5. Regular social events, plus annual company trips and team offsites

Contact

To apply for this role, or for further information, please contact:

Maia Ellis
[e-mail]
020 3745 6539
linkedin.com/in/maia-ellis-38a577193