At a Glance
- Tasks: Build and validate simulation infrastructure for large-scale machine learning systems.
- Company: Join a leading tech firm focused on innovative ML solutions.
- Benefits: Enjoy competitive salary, stock options, flexible working, and 25 days holiday.
- Other info: Hybrid work model with opportunities for relocation assistance.
- Why this job: Make a real impact in the exciting field of machine learning.
- Qualifications: Master’s or PhD in relevant fields with strong ML systems experience.
We are looking for a Senior ML Systems Engineer to build and validate simulation infrastructure for large-scale machine learning systems. This role focuses on modelling the compute and communication behaviour of systems used for ML training and inference, and using simulation to guide architecture, performance optimization, and capacity planning.
The ideal candidate combines strong systems experience with hands-on experience in measurement, benchmarking, and performance analysis of modern ML systems.
Experience:- Strong experience in ML systems, distributed systems, performance engineering, computer architecture, or simulation.
- Hands-on experience with performance benchmarking, profiling, and measurement of ML systems.
- Understanding of systems used for machine learning training and inference.
- Experience analysing compute, communication, and memory behaviour in large-scale ML systems.
- Experience with distributed training concepts such as data parallelism, tensor/model parallelism, pipeline parallelism, collectives, and synchronization overheads.
- Proficiency in one of the following: Python, C++, or Rust.
- Strong analytical skills and the ability to connect simulation results to real system behaviour.
Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Essential Requirements:- Eligible to work and live in the UK, without ever requiring sponsorship.
- Ability to work onsite / commute to London on a hybrid basis.
- Experience in simulated distributed ML training/inference workloads.
- Profiled distributed GPU-based ML workloads (inference/training).
- Experience with packet-level/discrete event simulation using ns3 or similar.
In addition to a competitive salary, my client offers a range of benefits including hybrid and flexible working, stock options, 25 days holiday, and relocation assistance.
Skills:ML Systems, Python, C++, Rust, Simulation, Machine Learning, GPU, PyTorch, JAX, XLA, NVLink, PCIe.
Senior ML Systems Engineer in London employer: Advanced Technical Recruitment
As a Senior ML Systems Engineer, you will thrive in a dynamic and innovative environment that champions cutting-edge technology and fosters professional growth. Our company offers a competitive salary alongside a comprehensive benefits package, including hybrid working options, stock options, and generous holiday allowances, all set in the vibrant city of London. Join us to be part of a collaborative culture that values your expertise and encourages continuous learning in the rapidly evolving field of machine learning.
Contact Details:
Advanced Technical Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Systems Engineer in London
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We think you need these skills to ace Senior ML Systems 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 Advanced Technical Recruitment.
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How to prepare for a job interview at Advanced Technical Recruitment
✨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 Advanced Technical Recruitment 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.
