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Qube Research & TechnologiesOfficial careers listing

Posted today

Senior AI Engineer

Pay

Not stated

Location

London

On site

Skills this role screens for

PythonResearchTradingQuantitative researchTrading-cab

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About the role

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an experienced AI Engineer to help drive the adoption of AI across our High Frequency Trading (HFT) business. You will build AI-powered tools, agents, and platforms that improve productivity across research, development, and trading operations. You will evaluate emerging AI technologies, integrate them into our internal ecosystem, and develop solutions that deliver measurable business value.

Also

Your future role within QRT

•

Partner with researchers, engineers, and business teams to identify high-value use cases

  • Build and maintain AI-powered applications, assistants, and agentic workflows
  • Develop integrations between AI systems and internal tools, repositories, databases, and knowledge sources
  • Design and implement AI agents capable of interacting with enterprise systems and APIs
  • Evaluate new models, frameworks, and AI tooling
  • Contribute to standards and best practices for AI development across the HFT business

Who they want

Your present skillset

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

  • Strong software engineering experience in Python
  • Experience building and operating production systems
  • Excellent design, debugging, and problem-solving skills
  • Experience with modern AI platforms, LLMs, and AI tooling.
  • Strong understanding of APIs, distributed systems, and software architecture
  • Ability to independently drive projects from conception to production
  • Experience building AI agents or agentic workflows
  • Experience evaluating AI systems and coding assistants
  • Familiarity with MCPs, tool-use frameworks, or related technologies
  • Experience with quantitative research, trading technology, or financial markets (good-to-have)

Where this listing comes from

From Qube Research & Technologies' own careers system (Greenhouse).

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