Machine Learning Performance Engineer New London, England, United Kingdom

Machine Learning Performance Engineer New London, England, United Kingdom

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
XTX Markets

At a Glance

  • Tasks: Boost machine learning performance and work on cutting-edge AI acceleration projects.
  • Company: Join a leading algorithmic trading firm with a focus on innovation and collaboration.
  • Benefits: Enjoy free meals, gym access, extensive medical benefits, and generous holiday leave.
  • Other info: Dynamic team environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact in the fast-paced world of finance using advanced technology.
  • Qualifications: Proficient in C/C++/Rust with experience in GPUs or TPUs preferred.

The predicted salary is between 60000 - 80000 £ per year.

XTX Markets is a leading algorithmic trading firm which uses state‐of‐the‐art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 300 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of our team, modern computational techniques, and state‐of‐the‐art research infrastructure to analyse large data sets across markets quickly and efficiently, maximizing the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world‐class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large‐scale data centre in Finland to future‐prove its significant computational capabilities.

At XTX Markets, technology is our business, and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non‐hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role: XTX is seeking an experienced engineer to support our ML Performance and AI Acceleration function. You will be working in a small and highly technical team at extremely high‐ and low‐levels of abstraction to dramatically increase the performance of XTX's training and inference platforms. The remit is wide, and you should expect to be challenged.

We are not just writing CUDA code. Amongst other things, you will be working on a sophisticated optimising compiler for a variety of accelerated computing platforms. You should be proficient in memory hierarchies, degrees of parallelism, microarchitectural nuances on instruction dispatch rates and irregular bitwidth numerics. You will also be expected to assist in the design of novel hardware architectures for accelerating our models, mapping AI models from JAX graphs to transistors.

Attributes: You will be an experienced software engineer, likely in C/C++/Rust or a similar language. You will be confident solving complex algorithmic problems. In addition, the following experience would be of particular interest:

  • Understanding of, and some experience targeting, GPUs, TPUs, or similar hardware.
  • Some experience working with data‐flow oriented compilers for AI or scientific computing.
  • Writing Linux kernel modules or other experience in OS development.

Key benefits below and full benefits listed on our website:

  • Onsite gym, sauna, and fitness classes at no charge.
  • Extensive medical benefits including an on‐site doctor and therapist at no charge.
  • Breakfast and lunch provided daily.
  • Various supports for caregivers, including emergency dependent care.
  • Beautiful Kings Cross office.
  • 25 days paid holiday per year + statutory holiday and paid sick days.

Machine Learning Performance Engineer New London, England, United Kingdom employer: XTX Markets

XTX Markets is an exceptional employer, offering a dynamic work environment in the heart of London where cutting-edge technology meets collaborative teamwork. With extensive benefits such as an onsite gym, daily meals, and comprehensive medical support, employees are empowered to thrive both personally and professionally. The firm prioritises employee growth through challenging projects and a non-hierarchical culture that values every team member's contributions, making it an ideal place for those seeking meaningful and rewarding careers in machine learning and algorithmic trading.

XTX Markets

Contact Details:

XTX Markets Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Performance Engineer New London, England, United Kingdom

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at XTX Markets. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a project or two that showcases your machine learning prowess, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your C/C++/Rust skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle complex problems!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at XTX Markets.

We think you need these skills to ace Machine Learning Performance Engineer New London, England, United Kingdom

Machine Learning
Performance Engineering
CUDA Programming
C/C++/Rust
Algorithmic Problem Solving
GPU Targeting
TPU Targeting

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Performance Engineer role. Highlight relevant experience and skills that match the job description, especially your proficiency in C/C++/Rust and any work with GPUs or TPUs.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a perfect fit for our team at XTX Markets. Keep it concise but impactful!

Showcase Your Projects:If you've worked on any projects related to AI acceleration or optimising compilers, make sure to mention them. We love seeing practical examples of your work that demonstrate your problem-solving skills and technical expertise.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our amazing company culture there!

How to prepare for a job interview at XTX Markets

Know Your Tech Inside Out

Make sure you brush up on your knowledge of machine learning technologies and algorithms. Be prepared to discuss your experience with CUDA, GPUs, and any relevant programming languages like C/C++ or Rust. The more you can demonstrate your technical expertise, the better!

Showcase Problem-Solving Skills

XTX Markets is looking for someone who can tackle complex algorithmic problems. Prepare examples from your past work where you've successfully solved challenging issues, especially those related to performance optimisation or hardware acceleration.

Understand Their Culture

Familiarise yourself with XTX's non-hierarchical and collaborative culture. Be ready to discuss how you value teamwork and respect in a diverse environment. Showing that you align with their values can set you apart from other candidates.

Ask Insightful Questions

Prepare thoughtful questions about the role and the company. Inquire about their current projects, the technology stack they use, or how they approach innovation in machine learning. This shows your genuine interest and helps you assess if it's the right fit for you.