ML Platform 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

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.