At a Glance
- Tasks: Own the full stack of ML systems from data ingestion to production inference.
- Company: Fast-growing AI startup revolutionising filmmaking tools.
- Benefits: Attractive salary, equity options, and hybrid work model.
- Other info: Exciting growth opportunities in a well-funded, innovative environment.
- Why this job: Join a cutting-edge team and shape the future of film technology.
- Qualifications: Strong Python backend skills and experience in building 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 strong, 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 in London 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 technological advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Performance Engineer in London
✨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 in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re genuinely excited about the technology and how it can revolutionise filmmaking.
Highlight Relevant Experience:Make sure to showcase your experience with building ML infrastructure or data platforms. We’re looking for specific examples of your work with Python and any large-scale datasets you've handled. This will help us see how you fit into our team.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We appreciate when candidates take the effort to align their skills with what we’re looking for.
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 during the process.
How to prepare for a job interview at Exec Assignments Ltd
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. 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 handle everything from data ingestion to production inference.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, particularly those involving TB-scale video and metadata datasets. Highlight your role in these projects and the impact they had. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Vision
Research the AI start-up and understand their mission to revolutionise filmmaking tools. Being able to articulate how your skills align with their goals will show your genuine interest and help you stand out as a candidate who’s not just looking for any job.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s technology stack and future projects. This shows that you’re engaged and thinking critically about how you can contribute. It also gives you a chance to assess if this is the right fit for you.
