Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sr Network Performance Analyst (5G/LTE) to perform network analysis, capacity planning and optimization for our large telco client- 19188

S.i. Systems
London
1 year ago
Applications closed

Related Jobs

View all jobs

Sr. Machine Learning Engineer

Sr. Machine Learning Engineer, AWS

Sr. Machine Learning Engineer, AWS

Sr. Data Scientist

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

Sr Network Performance Analyst (5G/LTE) to perform network analysis, capacity planning and optimization for our large telco client- 

Location-WFH (Fully Remote (Prefers Pacific & Mountain time, but open to Eastern)

Duration- 6 Months- strong chance of extension

Description:

As a 5G Capacity and Data Analytics Specialist, you’ll provide technical leadership to ensure we efficiently plan and deploy network capacity based on customer specific requirements. The role is an intersection between Network Performance, Business Requirements and Customer Experience. Your creativity coupled with strong data analytics skills and RF Engineering will allow us to find the best ways of building our wireless 4G/5G networks to support existing and new services. You will combine your expert knowledge of wireless networks and analytical skills in applying machine learning and artificial intelligence (AI) to drive actions and decisions. In close collaboration with teams across the company, you’ll seek out various data sources and identify new business opportunities while championing data driven decision making and the accelerated adoption of AI By using modern data science and automation techniques, transform our RAN capacity planning processes to enter the 5G service based era By proactively defining novel capacity planning techniques/models for 5G/LTE use cases By producing and managing the RAN network capacity plans for mobility and fixed wireless users By collaborating with other technical and business teams to understand new technologies and services to make our team to succeed in an evolving business environment By developing dashboards and data visualizations, you will provide insights into wireless network capacity that can be shared with executives and peer groups By monitoring network performance, you will identify actual capacity problems and predict future congestion issues in the network By leading the implementation of wireless capacity augments, you will build working processes with performance and construction teams to drive improvements in customer experience.

Must-Have Skills

Advanced Data Science and Analytics: The job requires transforming capacity planning processes using modern data science techniques, developing predictive models, and creating data visualizations. This skill is crucial for analyzing large datasets, forecasting, and providing insights.Wireless Network Expertise (5G/LTE): With a focus onRAN capacity planningfor 5G and LTE technologies, a deep understanding of wireless networks is essential. This includes knowledge of network performance, capacity planning, and optimization techniques specific to 5G and LTE. Programming and Database Skills: Proficiency inPython, SQL, and familiarity with data analysis libraries. These skills are necessary for data manipulation, analysis, and working with various database systems.

Nice-to-Have Skills

Business and project leadership skills Data visualization (e.g. GCP looker, Splunk) Cross-functional collaboration skills

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.