At a Glance
- Tasks: Drive AI adoption in high-frequency trading and develop production-grade AI applications.
- Company: Leading global quantitative hedge fund with a tech-driven culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Great opportunity for career advancement and influence in AI engineering standards.
- Why this job: Make a real impact by applying AI in a fast-paced trading environment.
- Qualifications: Strong Python skills and experience with AI platforms and software architecture.
The predicted salary is between 75600 - 92400 £ per year.
Our client, a leading global quantitative hedge fund, is looking for a Senior AI Software Engineer in London to drive the adoption of AI across a high-frequency trading business.
Working within a technology and data-led environment, you will partner directly with quantitative researchers, software engineers and business teams to identify high-value opportunities, then own the delivery of AI-powered tools from concept through to production.
The position exists to connect emerging AI capabilities with complex research, development and trading workflows, improving productivity while establishing robust engineering standards for the wider business.
Responsibilities
- Build and operate production-grade AI applications, assistants and agentic workflows.
- Develop integrations connecting AI systems with internal tools, code repositories, databases and knowledge sources.
- Design AI agents capable of securely interacting with enterprise systems and APIs.
- Evaluate emerging models, frameworks, coding assistants and AI tooling against genuine business use cases.
- Partner with researchers, engineers and business stakeholders to take projects from initial problem definition through to production delivery.
Requirements
- Strong software engineering experience in Python, including building and operating production systems.
- Practical experience with modern AI platforms, large language models and agentic workflows.
- Strong understanding of APIs, distributed systems and software architecture.
- Excellent system design, debugging and problem-solving capabilities.
- The ability to independently own complex projects, with exposure to quantitative research, trading technology or financial markets considered advantageous.
Why Apply?
This is an opportunity for an experienced AI engineer to move beyond isolated prototypes and apply AI within a technically demanding, commercially relevant trading environment.
You will have meaningful ownership, direct access to sophisticated users and the freedom to assess new technologies based on measurable value rather than novelty.
For someone seeking greater proximity to research and trading, broader technical influence and a clear route to shaping AI engineering standards across a high-performance business, this offers a compelling next step.
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