At a Glance
- Tasks: Own the full stack of ML systems from data ingestion to production inference.
- Company: Exciting AI startup revolutionising filmmaking tools.
- Benefits: Competitive salary, equity, and hybrid work model.
- Other info: Dynamic environment with opportunities for growth and innovation.
- Why this job: Join a well-funded company at the forefront of technology.
- Qualifications: Strong Python backend expertise and experience in ML infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
The opportunity for 2026 with a fast-growing start-up. EA are excited to be appointed to help in working with this AI start-up that is revolutionising tools that let filmmakers edit, localise, and refine performances without reshoots.
The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference. Importantly, a track record of building ML infrastructure or data platform is required.
- Strong Python backend expertise
- Data platform
- Training infrastructure
- TB-scale video, embedding, and metadata datasets
It's a hybrid role, with a London office, combining a very attractive and competitive salary, and equity. The company is at a genuinely exciting stage, being well-funded, technically advanced, and building something that is at the leading edge of technology with a strong market presence already.
If the timing is right (or if it isn’t but you’re curious), contact immediately.
Machine Learning Performance Engineer employer: Exec Assignments Ltd
Join a dynamic and innovative AI start-up that is transforming the filmmaking industry with cutting-edge technology. As a Machine Learning Performance Engineer, you'll benefit from a competitive salary, equity options, and a collaborative work culture that fosters creativity and growth. With a strong focus on employee development and a hybrid working model in London, this is an exceptional opportunity to be part of a forward-thinking team at the forefront of machine learning advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Performance Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at AI startups. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and data platforms. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with distributed training and production inference, as these are key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Machine Learning Performance Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML infrastructure and Python backend expertise. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit for our fast-growing AI start-up. Let us feel your passion!
Showcase Your Projects:If you've worked on any cool ML projects, make sure to mention them! Whether it's data ingestion, distributed training, or anything else related to the role, we love seeing practical examples of your work.
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 from us. Let’s get started on this exciting journey together!
How to prepare for a job interview at Exec Assignments Ltd
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with building ML infrastructure and data platforms, especially in relation to Python backend development. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Projects
Prepare to share specific examples of projects you've worked on that relate to video processing, distributed training, or any relevant ML applications. Highlight your role in these projects and the impact they had. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Their Vision
Research the company and its mission to revolutionise filmmaking tools. Be ready to discuss how your skills align with their goals and how you can contribute to their exciting journey. Showing genuine interest in their work can set you apart from other candidates.
✨Ask Smart Questions
Prepare thoughtful questions about their technology stack, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
