Machine Learning Engineer - Quantitative Trading- Leading Market-Maker / Hedge Fund

eFinancialCareers; Greater London; On-site; GBP 400,000 - 650,000; Full time

Benefits offered by this job

Shape ML platform direction

Cutting-edge ML at scale

Work with world-class Researchers, Trs

Conference opportunities

Excellent compensation package

Good work-life balance

Job summary

One of the world's top quantitative market makers is expanding its Machine Learning and AI capabilities. You’ll join a growing ML 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

Qualifications

• Strong software engineering and ML experience.
• Experience with ML training/inference infrastructure and production deployment.
• Strong mathematical foundations and ML techniques.

Responsibilities

• Build platforms and infrastructure for researchers and traders to train, test and deploy ML models.
• Improve research and experimentation workflows and tooling.
• Develop intuitive APIs and tooling for ML workflows.
• Move models from research into production and optimize deployment.
• Collaborate with researchers and engineers to select the right ML approaches.

Skills

Strong software engineering

Machine Learning experience

Problem-solving & communication

Tools

PyTorch

JAX

TensorFlow

Job description

Salary: £200-250k base + £200-400k bonus // All experience levels

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

Benefits

• 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
• Excellent compensation package
• Good work‑life balance

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