Redline Group Ltd | 3GPP Standards Expert

Redline Group Ltd
London
1 year ago
Applications closed

An exciting opportunity has arisen for an 3GPP Standards Expert to join a leading global technology company at their European R&D centre based in Surrey. The organisation specialises in cutting-edge innovations across telecommunications, home appliances, and digital products.

The successful 3GPP Standards Expert, in Surrey, will be working as a member of the Standards & Spectrum Group, the job's main purpose is to provide expert support to their standards strategies and telecoms technology development as required in the 3GPP Core Networks and Terminals (CT) or alternatively the 3GPP Service and System Aspects (SA) area.

The position offers a hybrid working policy (3 days in the office, 2 days from home) and the chance to work on transformative solutions in a supportive and inclusive environment.

Key Responsibilities:

  • Helping lead standards activities in CT1 or SA2 to increase the profile and technical contribution of my client to 3GPP and standards through positive, high-quality, consensus-building contribution to the specifications and work of the 3GPP CT1 or SA2 Working Group.
  • Leading the research in system architecture and services of 5G and 6G and/or User Equipment - Core Network protocols, as related to ongoing and upcoming 3GPP Releases, with focus on input to standards.
  • Finding and breaking into new key technologies. This would include proposals for future product development, and the potential to lead new innovation in standards.
  • Supporting their Standards activities by drafting technology appropriate patents and working to secure the intellectual property into 3GPP and other relevant standards.
  • Working with colleagues from other specification working groups and in particular SRUK colleagues in SA2, SA1, CT1, and RAN2, as well as SA2 and CT1 colleagues across various sites, to maximise synergy between activities and to ensure a cohesive standards strategy across 3GPP.

The ideal 3GPP Standards Expert, Surrey, will have the following skills/experience:

  • A Bachelor's degree (or higher) in Engineering, Computer Science, Electronics, Natural Science, and Mathematics, or any other related discipline.
  • Extensive experience in telecommunications research/standardisation/development, with considerable experience in the relevant working group (3GPP SA2 or 3GPP CT1, and/or related working groups e.G. SA3, CT4) and preferably with experience working as an active participant in standards, preferably as a delegate in SA2 or CT1 (or a related Working Group e.G. SA3, CT4).
  • An appreciation of the standardisation processes is highly desirable (especially any experience with 3GPP, NGMN, GSMA). An understanding of the three-stage standardization method described in ITU T Recommendation I.130 would be an advantage.
  • A thorough understanding of the 3GPP mobile telecommunications system, with expert knowledge of SA technologies in systems such as: 2G, 3G, 4G, 5G.
  • Knowledge of Artificial Intelligence (AI) and Machine Learning (ML), or AI/ML, and its application to 3GPP technologies, is appreciated.

This is an excellent opportunity to join a forward-thinking organisation renowned for its culture of innovation and commitment to excellence. The role offers a competitive salary, excellent benefits, and significant opportunities for professional growth.

APPLY NOW for the 3GPP Standards Expert, Surrey, job by sending your CV and Cover Letter to or contact us at or .


JBRP1_UKTJ

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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.

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.