At a Glance
- Tasks: Design and build cutting-edge ML systems and simulations for advanced AI solutions.
- Company: Innovative tech company at the forefront of networking and AI/ML technology.
- Benefits: Competitive salary, 25 days holiday, hybrid work, private healthcare, and relocation support.
- Other info: Exciting opportunity for career growth in a collaborative and innovative environment.
- Why this job: Join a dynamic team and shape the future of ML technology with your expertise.
- Qualifications: Master’s or PhD in relevant fields and strong experience in ML systems and performance engineering.
We are supporting our client, an innovative technology company developing next-generation networking solutions, advanced solutions in AI/ML, and high-performance computing environments, with the hire of a Senior ML Systems Engineer.
As a Senior ML Systems Engineer, you will be in a hands-on technical position, building simulations, modelling systems, and infrastructure for ML training and interfacing.
Responsibilities:
- Design simulation models for compute, memory, interconnect, and communication behaviour in ML systems.
- Build tools to simulate performance.
- Model accelerators, hosts, and network fabrics.
- Develop performance experiments for ML systems.
- Provide analysis on end-to-end performance for ML systems.
- Build technical reports and design recommendations.
Qualifications:
- Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Strong experience in ML systems, distributed systems, performance engineering, computer architecture, or simulation.
- Experience with distributed training concepts such as data parallelism, tensor/model parallelism, pipeline parallelism, collectives, and synchronisation overheads.
- Experience with tools such as Python, C++, or Rust, PyTorch, JAX, TensorFlow, NCCL, XLA, CUDA, or similar tools.
- Understanding of accelerator-based systems such as GPUs, TPUs, or custom ML hardware.
Benefits:
- Salary circa £90,000 depending on experience.
- 25 days holiday plus bank holidays.
- Hybrid working model.
- Private healthcare and life assurance.
- Relocation support available.
Senior ML Systems Engineer employer: Langham Recruitment
Join an innovative technology company in London that is at the forefront of developing next-generation networking solutions and advanced AI/ML applications. As a Senior ML Systems Engineer, you will thrive in a collaborative and dynamic work culture that prioritises employee growth through hands-on experience and cutting-edge projects. Enjoy a competitive salary, generous holiday allowance, hybrid working options, and comprehensive benefits including private healthcare and relocation support, making this an exceptional opportunity for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior ML Systems Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML systems and simulations. We want to see your hands-on experience, so make sure to highlight any tools or languages you’ve used, like Python or C++.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of distributed systems and performance engineering. We recommend practising coding challenges and discussing your past projects to demonstrate your expertise in ML systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Senior ML Systems Engineer position!
We think you need these skills to ace Senior ML Systems Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior ML Systems Engineer role. Highlight your experience with ML systems, distributed systems, and any relevant tools like Python or TensorFlow. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about ML systems and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool projects related to ML systems or performance engineering, make sure to mention them! We want to see your hands-on experience and how you've tackled challenges in the past. Don't be shy about sharing your achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen to join our innovative team!
How to prepare for a job interview at Langham Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Python, C++, and frameworks such as PyTorch or TensorFlow. Brush up on your understanding of distributed training concepts and be ready to discuss how you've applied these in past projects.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to explain your experience with simulation models and performance engineering. Practise articulating your thought process when solving complex problems related to ML systems, as this will showcase your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Be ready to present specific examples of how you've tackled challenges in ML systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical skills and ability to develop effective solutions in high-performance computing environments.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI/ML and their future projects. This not only shows your genuine interest but also helps you gauge if the company aligns with your career goals and values.
