AI Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• We require a bachelors or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• We require 3+ years of experience working with machine learning and artificial intelligence technology.
• We require a strong understanding of core machine learning and artificial intelligence concepts.
• We require excellent programming skills in Python.
• We require demonstrated experience building, validating, deploying, monitoring, and updating production ML and AI models.
• We require hands-on experience with MLOps and AIOps infrastructure and tooling.
• We require strong problem-solving and analytical reasoning skills.
• We require exceptional communication and collaboration skills.
• We prefer experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
• We prefer experience with Large Language Models, including RAG and fine-tuning techniques.
• We prefer familiarity with compute infrastructure used to support AI and ML technology.

Responsibilities:

• We drive end-to-end development of AI infrastructure and AI-driven applications, from initial proof of concept to production deployment and ongoing maintenance.
• We collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
• We implement automated systems for continuous training, validation, and monitoring of models to minimize downtime and ensure reliability.
• We provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
• We create and maintain feature pipelines, feature stores, and model stores.
• We develop frameworks to enable scalable, reproducible research.
• We proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Technologies:

• AI
• Fine-tuning
• Hardware
• Support
• Machine Learning
• MLOps
• PyTorch
• Python
• RAG
• TensorFlow

More:

We are DRW, a diversified trading firm with over three decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across all major global markets. We have also expanded into real estate, venture capital, and cryptoassets. We operate with respect, curiosity, and open minds, and we value high expectations, integrity, innovation, and a willingness to challenge consensus. In this role, you will join a collaborative multi-asset trading team working on high-impact machine learning and artificial intelligence initiatives that are central to our business strategy. You will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, improve efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.

last updated 34 week of 2026