As Machine Learning Quality Intern at Arm, you will be part of a team building intelligent systems that help predict quality risks.
You will work alongside experienced developers and engineers, supporting projects that combine data workflows, automation, and machine learning.
This role will give you hands-on experience in training and experimenting with ML models, preparing datasets, and helping to integrate predictive capabilities into real-world applications.
What you could be doing as a Machine Learning Quality Intern?
- Training and fine-tuning machine learning models to improve predictive accuracy.
- Preparing and cleaning datasets to make sure they are ready for analysis and model training.
- Evaluating and testing models to compare results and identify improvements.
- Collaborating with software developers and data engineers to integrate ML models into wider systems.
- Experimenting with new tools and approaches, while learning how ML is applied at scale in industry.
We are looking for individuals who:
Are currently enrolled and studying towards a Computer Science, Data Science, AI/ML, Software Engineering or related degree (Bachelor’s, Master’s, or PhD students welcome). Candidates from other disciplines will also be considered if they have relevant skills or experience.
Qualities that will help your application stand out:
- Experience in at least one programming language (ideally Python).
- Enthusiasm for machine learning and data-driven technologies.
- Curiosity beyond the classroom — e.g., personal ML projects, Kaggle, hackathons, or research.
- Good problem-solving skills and a willingness to learn new tools and techniques.
Additional Information:
We encourage early applications as we review them on a first come/first served basis.
This is a 12-month internship starting summer 2026. Please note, Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement.
If you are graduating in 2026 you will not be eligible for an Intern role but you will be eligible for our graduate roles. Our graduate roles will be advertised on the Arm Early Careers website.
Application Closing Date: 6th November 2025
We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.
In Return:
Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow
In addition to a competitive salary andrewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.
#LI-KW
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.