At a Glance
- Tasks: Work on real machine learning challenges and optimise models for mobile devices.
- Company: Join a rapidly scaling tech startup backed by top-tier investors.
- Benefits: Competitive salary, housing stipend, 25 days' holiday, and a company Macbook Pro.
- Other info: Flexible work environment with 3 days in-office and remote work options.
- Why this job: Make an impact in edge ML while receiving mentorship from industry experts.
- Qualifications: Pursuing or completed a Master's/PhD in a quantitative field with ML experience.
The predicted salary is between 35000 - 41500 £ per year.
About Captur
Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices.
About the role
You’ll work directly with our ML team on a focused project that aligns both with your interests and our product roadmap. Throughout the internship, you’ll receive regular mentorship and technical feedback while working on real machine learning challenges involving models that run directly on users’ devices. Potential project areas include:
- Optimising computer vision models for efficient inference on mobile devices
- Fine-tuning and deploying multimodal vision-language models for real-world scene understanding on the edge
- Developing data-centric ML systems that leverage automated labelling and synthetic data generation to improve model quality
- Improving model robustness across challenging real-world environments, edge cases, and distribution shifts
What We’re Looking For
Required:
- We are looking for candidates who are currently pursuing, or have recently completed, a Master’s or PhD in Computer Science, Machine Learning, Mathematics, Engineering, Physics, or a related quantitative discipline
- Demonstrated machine learning experience through research, internships, coursework, or substantial personal projects
- Experience independently delivering a technical project from problem definition through experimentation and evaluation
- Clear written and verbal communication
Helpful but not required:
- PyTorch, TensorFlow, or JAX experience
- Computer vision or multimodal ML experience
- Experience with model optimisation or edge deployment
- Experience building ML infrastructure, evaluation systems, or data pipelines
We’re particularly interested in candidates who enjoy understanding how ML systems behave in production, not just training models.
Role Compensation and Working Details
Base salary of £35,000 per annum, pro-rata'd for the duration of the internship. Taxable housing stipend of £125 per week for interns whose permanent address is outside London and who need to pay for accommodation during the internship. Based 3 days a week from our Liverpool Street Office, with work from home on the remaining days. 25 days' holiday plus public holidays, pro-rata'd for the duration of the internship. Dedicated company Macbook Pro for use during the internship.
The pay range for this role is: 35,000 - 41,500 GBP per year (London Office)
ML Intern employer: Captur
Captur is an exceptional employer for aspiring ML professionals, offering a dynamic work environment in the heart of London. With a strong focus on mentorship and hands-on experience, interns will engage in meaningful projects that directly impact product development while enjoying a competitive salary, generous holiday allowance, and a supportive culture that fosters growth and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land ML Intern
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace ML Intern
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Captur will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Captur
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Captur.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Captur that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
