ML Systems Engineer for Quantitative Finance

P2P; Greater London; On-site; GBP 90,000 - 160,000; Full time

Benefits offered by this job

Private Medical, Vision and Dental

Travel Medical Insurance

Group Pension Scheme

Group Life Assurance

Paid Parental Leave

Parking and Commuter Benefits

Job summary

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems for quantitative finance. You will optimize training pipelines, deploy models to low-latency production environments, and work across C/C++, Python, CUDA, and related GPU technologies.

Join a fast-paced, collaborative team focused on impactful projects that push the boundaries of AI research and its applications to global markets.

Qualifications

• We are seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems.
• Apply state-of-the-art techniques to complex domains and develop reusable ML frameworks.
• Experience building ML systems at large scale with high throughput or low latency demands.

Responsibilities

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
• Optimise training pipelines to make the best use of HPC resources.
• Integrate ML models into production systems where latency matters.
• Work across Python, C++, CUDA and other low-level GPU languages.
• Build large scale ML systems that are observable, performant, and flexible, and reduce iteration cycle time.
• Other duties as assigned or needed.

Skills

Python

C++

PyTorch

JAX

TensorFlow

GPU programming

ML systems

English communication

Team collaboration

Job description

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems for quantitative finance. You will optimize training pipelines, deploy models to low-latency production environments, and work across C/C++, Python, CUDA, and related GPU technologies.

Join a fast-paced, collaborative team focused on impactful projects that push the boundaries of AI research and its applications to global markets.