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.
Senior Machine Learning Engineer (M/F/D) employer: Exec Assignments Ltd
Join a dynamic and innovative AI start-up that is transforming the filmmaking industry with cutting-edge technology. As a Senior Machine Learning Engineer, you'll benefit from a competitive salary, equity options, and a hybrid work model in London, fostering a collaborative and forward-thinking work culture. With ample opportunities for professional growth and development, this is an ideal environment for those looking to make a meaningful impact in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and machine learning. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML infrastructure or data platforms. Share your GitHub or any relevant work during interviews to demonstrate your expertise in Python and large-scale datasets.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of distributed training and production inference. Practice coding challenges and system design questions that are relevant to the role. We can help you with resources to get you ready!
✨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 who want to be part of something exciting in the tech world!
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with ML infrastructure and Python in your application. 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 how your skills can contribute to our exciting projects in AI and filmmaking. We love seeing candidates who take the time to connect their experience with what we do!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
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’re considered for this fantastic opportunity in our fast-growing startup!
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 TB-scale video datasets and how you've tackled challenges in distributed training.
✨Showcase Your Projects
Prepare to talk about specific projects where you've owned the full stack from data ingestion to production inference. Highlight any innovative solutions you've implemented that align with the company's mission of revolutionising filmmaking tools. Real-world examples will make you stand out!
✨Understand the Company’s Vision
Do your homework on the AI start-up and its products. Familiarise yourself with their technology and how it impacts filmmakers. Showing genuine interest in their work and understanding their market presence will demonstrate that you're not just looking for any job, but that you’re excited about this opportunity.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your knowledge of the industry and the role. Inquire about their future projects, the tech stack they use, or how they envision the evolution of their tools. This shows that you’re engaged and thinking critically about how you can contribute to their success.
