Machine Learning Engineer – Quantitative Trading

Oxford Knight; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Oxford Knight is recruiting a Machine Learning Engineer for its London-based ML platform. The role focuses on building and optimizing the infrastructure that enables researchers and traders to train, test and deploy ML models at scale.

You will work closely with world-class researchers and engineers, evaluating new ML approaches and selecting the best tech for each problem. A strong foundation in ML and software engineering is essential.

Qualifications

• Strong software engineering and ML experience.
• Experience with ML training/inference infra and taking models into production.
• Strong mathematical foundations and understanding of ML techniques.
• Experience with PyTorch, JAX, TensorFlow or similar.

Responsibilities

• Build platforms and infrastructure for ML models to run efficiently.
• Improve researchers' and traders' experimentation workflows.
• Build intuitive APIs and tooling for ML deployment.
• Move models from research into production.
• Collaborate with Researchers, Traders and Engineers.

Skills

Software engineering

ML infrastructure

Mathematics

PyTorch

JAX

TensorFlow

Problem solving

Tools

PyTorch

JAX

TensorFlow

Job description

Client:

One of the world’s top quantitative market makers is expanding its Machine Learning and AI capabilities. Already a market leader, the firm has invested extensively in its data, compute and research infrastructure and is continuing to grow the technology underpinning ML across the business.

Operating across multiple asset classes, the firm processes enormous datasets every day, creating challenging engineering problems around ML training, inference and large-scale research workflows.

Role:

You’ll join a growing Machine Learning Engineering team building the platforms and infrastructure that allow Researchers and Traders to develop, train, test and deploy ML models efficiently.

This is a role combining strong software engineering with a genuine understanding of Machine Learning and mathematics. You’ll work on training and inference infrastructure, improve research and experimentation workflows, build intuitive APIs and tooling, and help move models efficiently from research into production.

You’ll work closely with Researchers and Engineers, evaluating new ML approaches and helping determine the right technology for each problem.

Requirements:

• Strong software engineering and Machine Learning experience
• Experience with ML training/inference infrastructure and taking models into production
• Strong mathematical foundations and understanding of ML techniques
• Experience with PyTorch, JAX, TensorFlow or similar
• Strong problem-solving and communication skills
• Trading experience is not required
• Help shape the direction of a growing firm-wide ML platform
• Work on cutting-edge ML and engineering problems at significant scale
• Work directly with world-class Researchers, Traders and Engineers
• Opportunities to attend leading conferences
• Good work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Machine Learning Engineer - Quantitative Trading London