At a Glance
- Tasks: Own the full stack of ML systems from data ingestion to production inference.
- Company: Join a fast-growing AI startup revolutionising filmmaking tools.
- Benefits: Hybrid work model with a vibrant London office and competitive salary.
- Other info: Exciting opportunity for career growth in a dynamic startup environment.
- Why this job: Be at the forefront of AI innovation and make a real impact in filmmaking.
- Qualifications: Strong Python backend skills and experience in building ML infrastructure.
The predicted salary is between 70000 - 90000 £ per year.
The opportunity for 2026 with a fast growth 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.
About the Role
The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference.
Responsibilities:
- A track record of building ML infrastructure or data platform.
- Strong Python backend expertise (e.g. FastAPI or similar) and this hire will have significant ownership.
- Data platform: LanceDB, DataFusion, Arrow, Parquet, Iceberg.
- Training infra: PyTorch, Ray, multi-node distributed setups.
- Inference: Triton, model ensembles, production reliability.
- Multimodal pipelines: TB-scale video, embedding, and metadata datasets.
Qualifications: It's a hybrid role, with a London office.
Machine Learning Engineer, Senior employer: Exec Assignments Ltd
Join a dynamic and innovative AI start-up that is at the forefront of transforming the filmmaking industry. With a strong emphasis on employee growth, this company offers a collaborative work culture where your contributions are valued, and you can take ownership of impactful projects. Located in London, you'll benefit from a vibrant city atmosphere while working in a hybrid environment that promotes work-life balance and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer, Senior
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and machine learning. Attend meetups or webinars, and don’t be shy about sliding 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 involving ML infrastructure or data platforms. Use GitHub to share your code and document your thought process. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python backend expertise and familiarising yourself with tools like PyTorch and Triton. Practice coding challenges and system design questions that are relevant to the role. We’ve got your back with resources to help you ace these!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to join innovative teams in the AI space. Let’s get you that dream job!
We think you need these skills to ace Machine Learning Engineer, Senior
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. We love seeing candidates who take the time to connect their skills and experiences directly to what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Exec Assignments Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, FastAPI, and PyTorch. Brush up on your knowledge of LanceDB and multi-node distributed setups, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built ML infrastructure or data platforms. Be ready to explain your role, the challenges you faced, and how you overcame them. 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 in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture is a good fit for you.
