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- Tasks: Join us as a Machine Learning Engineer to build and optimise ML models for trading.
- Company: IMC is a global trading firm known for its innovative technology and collaborative culture.
- Benefits: Enjoy competitive salary, bonuses, paid leave, and comprehensive insurance benefits.
- Why this job: Shape the future of trading with cutting-edge ML solutions in a dynamic environment.
- Qualifications: 5+ years in machine learning, strong Python/CUDA skills, and experience with real-time ML pipelines.
- Other info: Work in a high-performance team that values innovation and collaboration.
The predicted salary is between 105000 - 150000 £ per year.
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.
Your Core Responsibilities:
- Develop large-scale distributed training pipelines to manage datasets and complex models
- Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
- Develop libraries to improve the performance of machine learning frameworks
- Maximize performance in training and inference using GPU hardware and acceleration libraries
- Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
- Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
- Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
- Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
- Dig into the internals of open-source ML tools to extend their capabilities and improve performance
Your Skills and Experience:
- 5+ years of experience in machine learning with a focus on training or inference systems
- Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
- Strong engineering skills, including Python, CUDA, or C++
- Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
- Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
- Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
- Exposure to cloud platforms and orchestration tools
- A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance.
Salary Range $175,000 - $250,000 USD
About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Machine Learning Engineer London, United Kingdom employer: IMC Financial Markets
Contact Detail:
IMC Financial Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer London, United Kingdom
✨Tip Number 1
Familiarise yourself with the latest machine learning frameworks like PyTorch and TensorFlow. Being able to discuss recent advancements or your personal projects using these tools can really impress during interviews.
✨Tip Number 2
Showcase your experience with GPU programming and distributed training. Prepare specific examples of how you've optimised ML pipelines in high-performance environments, as this is crucial for the role.
✨Tip Number 3
Engage with the open-source community by contributing to relevant projects. This not only enhances your skills but also demonstrates your commitment to continuous learning and collaboration, which aligns with our culture at IMC.
✨Tip Number 4
Network with professionals in the field through platforms like LinkedIn or industry meetups. Building connections can provide insights into the company culture and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Machine Learning Engineer London, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly focusing on training and inference systems. Include specific projects where you've developed low-latency ML pipelines or worked with GPU programming.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and trading. Mention how your skills align with the responsibilities outlined in the job description, such as developing distributed training pipelines and collaborating with researchers.
Showcase Your Technical Skills: Clearly list your technical skills related to Python, CUDA, and machine learning frameworks like PyTorch or TensorFlow. Provide examples of how you've used these skills in previous roles or projects.
Highlight Open-Source Contributions: If you have contributed to open-source projects, make sure to mention them. This demonstrates your commitment to the field and your ability to collaborate with others in the tech community.
How to prepare for a job interview at IMC Financial Markets
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've implemented low-latency ML pipelines or worked with GPU programming, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Research IMC's trading strategies and how machine learning plays a role in their operations. Understanding their approach to innovation and technology will help you align your answers with their goals during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills in real-time scenarios. Practice explaining your thought process clearly, especially when discussing distributed training or optimising ML workflows.
✨Highlight Collaboration Experience
Since the role involves working with researchers and engineers, be ready to share examples of successful collaborations. Discuss how you’ve partnered with others to enhance model development or improve training speeds, showcasing your teamwork skills.
