At a Glance
- Tasks: Build AI-powered tools and improve productivity in High Frequency Trading.
- Company: Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Competitive salary, work-life balance initiatives, and a diverse, inclusive culture.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a tech-driven team and make a real impact in the finance world.
- Qualifications: Strong Python skills and experience with AI platforms and production systems.
The predicted salary is between 63000 - 77000 £ per year.
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.
- Your future role within QRT
- 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
- Partner with researchers, engineers, and business teams to identify high-value use cases
- Contribute to standards and best practices for AI development across the HFT business
- Your present skillset
- 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)
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.
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Senior AI Engineer in London employer: Quberesearchandtechnologies
At Qube Research & Technologies, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel in their roles. As a Networks & Infrastructure Leader based in London, you will benefit from unparalleled opportunities for professional growth, mentorship, and collaboration within a cutting-edge environment focused on innovation in low-latency trading. Join us to be part of a team that values your expertise and encourages you to lead with confidence while making a significant impact on our business success.
Contact Details:
Quberesearchandtechnologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Quberesearchandtechnologies or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Quberesearchandtechnologies.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Quberesearchandtechnologies.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Quberesearchandtechnologies.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Quberesearchandtechnologies and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Quberesearchandtechnologies
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Quberesearchandtechnologies uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
