National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Artificial Intelligence for Advanced Cellular Communication Systems Intern 2025

MediaTek
Cambourne
8 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision and Artificial Intelligence Engineer

Machine Learning Engineer (PhD)

Deep Learning Researcher

Machine Learning Engineer/Researcher - 2025 Programme

Machine Learning Engineer (PhD)

Software Engineer III - Data Engineer - Python, SQL - Senior Associate

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.

National AI Awards 2025

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.