Artificial Intelligence for Advanced Cellular Communication Systems Intern 2025

MediaTek

Cambourne

1 year ago

Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer - Coforge

Data Analyst - Government Digital Service - SEO

Computer Vision & AI Engineer — Advanced Defense Tech

Computer Vision & AI Engineer: Advanced Imaging & ML

Data Scientist

Job DescriptionWould you like an opportunity to explore how artificial intelligence can be applied to advanced cellular communication systems?

We are excited to offer an excellent opportunity for a talented student who is passionate about exploring the intersection of artificial intelligence (AI) and wireless communication systems. This internship will provide hands-on experience in the design, modeling, and verification of advanced cellular communication systems, with a focus on leveraging AI and machine learning (ML) techniques to optimize their performance.

As MediaTek’s successful placement student, you will work as part of a small (but outstanding) R&D team that is responsible for driving innovation in advanced cellular communication systems, starting from the definition of new communication systems standards up to the design and verification of modem chipsets implementing these new cellular protocols.

This is a fantastic opportunity to gain exposure to new cellular communication standards such as 5G/6G, allowing you to understand how these new communication standards are applied in the design and implementation of the devices used by consumers to exchange information over these wireless links. Using a combination of theoretical analysis, architecture design and software simulations, you will be involved in the modeling of the user device at the system level and the interpretation of key performance indicators. You will explore how machine learning and artificial intelligence can be leveraged to further improve the performance of the user device. This is also a great opportunity to develop your programming/scripting proficiency and apply these skills to the development of complex simulation environments.

You will…

•Be a great problem solver/ creative thinker with strong analytical skills

•Be someone who enjoys picking up new skills quickly, through informal learning
•Be self-motivated and able to work both in a team and autonomously

•Possess good written and verbal communication skills

•Have programming experience (ideally in Python, C or C++)

•Be familiar with artificial intelligence and machine learning concepts
RequirementIn addition, one or more of the below would be brilliant (but not essential).

•Good mathematical skills.

•Familiarity with any wireless communication system.

•Familiarity with machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn.

•Experience with data analysis and visualization tools

What we’ll offer you in return.

•Convenient location (Cambourne), very close to Cambridge and served by very frequent bus services from Cambridge.

•Excellent and varied experience working on real projects in a leading, global, high-tech company.

•Opportunity to work with skilled engineers, as well as with other interns

Duration

The placement will begin in 2025 and we can be flexible about the start date. The length of the internship will need to be between 9 to 12 months long.

Location

This internship will be at our Cambourne, Cambridge shire office, based 9 miles outside Cambridge city Centre (with frequent direct bus services). Cambridge is also conveniently located within one hour from Central London, four main London airports and The Eurostar.

MediaTek technology is already part of your everyday life
Did you know that nearly 1 in 3 mobile phones is powered by MediaTek? We lead the market in chipset sales for Smartphone, Smart TVs, Voice Assistant Devices & Android tablets. MediaTek works with the brands you love to provide feature rich, premium technology at mass-market prices and enable billions of people to explore their true potential – their Everyday Genius. Find out more at mediatek.com.
Our engineers have a great passion and work ethic, have a broad set of technical skills and are ready to master new technologies and tackle some of industry’s greatest challenges. We pride ourselves on our global collaborative team culture and a competitive compensation package. We know that each person makes important contributions, and that they are integral to our success.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.