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 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 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 Engineer - Hybrid in London employer: Exec Assignments Ltd
Join a dynamic AI start-up that is at the forefront of revolutionising filmmaking technology. With a hybrid work model based in London, employees enjoy a competitive salary, equity options, and a vibrant work culture that fosters innovation and collaboration. This is an exceptional opportunity for growth and development in a fast-paced environment where your contributions will directly impact the future of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Hybrid 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 when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes put you ahead of the competition.
We think you need these skills to ace Machine Learning Engineer - Hybrid in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and any relevant ML infrastructure projects. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention the exciting aspects of our AI start-up and how you can contribute to revolutionising tools for filmmakers. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the Machine Learning Engineer position.
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 our team!
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 expertise. They’ll want to hear about your hands-on experience with training infrastructure and handling large-scale datasets.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to video processing or AI tools. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to contribute to their innovative environment.
✨Understand the Company’s Vision
Do your homework on the startup and its mission to revolutionise filmmaking tools. Familiarise yourself with their products and think about how your skills can help them achieve their goals. Showing genuine interest in their work can set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about their current projects, team dynamics, or future plans for technology development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
