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

Apply Now

Data Analyst - Radio Design Engineer

Hays
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

ARadio Design Engineer / Performance Engineeris needed to support a leading technology-communication provider.


Are you ready for your next professional adventure?


Your new role

We have an opportunity for aRadio Design Engineer/ Performance Engineerto join our client’s team.The team works on remote working basis.


Contract: until July 2025

Location:Remote

Hours:40, Monday to Friday


Responsibilities

  1. KPI Design and Refinement
  • Develop and define KPIs for network performance across 2G, 3G, 4G, and 5G technologies.
  • Ensure KPI definitions align with organisational goals, contractual SLAs, customer experience metrics, and industry best practices.
  • Work closely with cross-functional teams to ensure clarity and consistency in KPI measurement methodologies.
  1. KPI Governance and Validation
  • Establish governance frameworks to ensure accurate, consistent, and reliable KPI reporting.
  • Conduct periodic reviews of KPI definitions to accommodate evolving business requirements and technological advancements.
  • Validate and verify the relevance of KPIs in reflecting true network performance and customer experience.
  • Own and maintain all appropriate technical definition documentation, be the point of contact to share with appropriate stakeholders.
  1. Performance Monitoring and Insights
  • Provide actionable insights derived from KPI trends to drive targeted performance improvements.
  • Collaborate with technical teams to interpret KPI results and recommend optimisation strategies.
  • Identify gaps in existing KPIs and propose new metrics to improve network performance monitoring.
  1. Stakeholder Collaboration
  • Act as the subject matter expert for KPI definitions, supporting teams in understanding and utilising KPIs effectively.
  • Liaise with design, operations, and strategy teams to align KPIs with long-term business objectives.
  • Support key projects and initiatives by defining and integrating relevant performance metrics.


What you’ll need to succeed:

  • Strong understanding of cellular technologies, including 3GPP standards (LTE, LTE-Advanced, 5G).
  • Proven expertise in defining and managing KPIs for network performance.
  • Excellent analytical skills with the ability to interpret complex performance data.
  • Strong communication skills to effectively convey KPI definitions and their implications to diverse stakeholders.
  • Ability to align KPI initiatives with organisational goals and customer experience metrics.
  • Familiarity with performance benchmarking methodologies and governance frameworks.
  • Demonstrated ability to work collaboratively across technical and strategic teams.


Preferred Qualifications

  • Experience with network optimisation and capacity planning.
  • Proven Experience using Mycom based OSS platforms.
  • Familiarity with advanced KPI validation techniques.
  • Strong understanding of industry trends and their impact on KPI relevance.


What you need to do now


Our client is looking to interview immediately, so apply today or call us on to speak with one of our Talent Acquisition Specialists!


If this role does not meet your requirements but you know of someone else who would be interested, please send my details across to them.

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.