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# Network Engineering Specialist

- **Company:** Randstad UK
- **Location:** London, UK
- **Salary:** £104,000.0 - £117,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Network Monitoring, Enterprise Planning Systems, Wireless Networks, Data Analytics, Performance Monitor
- **Published:** August 25, 2026
- **Apply:** https://www.reed.co.uk/jobs/network-engineering-specialist/57273776

## About the Role

* RAN Expertise: Advanced knowledge of Mobile Network RAN optimization, planning, and performance.
 * Vendor Knowledge: Hands-on experience with Huawei, Ericsson, or Nokia performance counters, parameters, and RAN vendor alarm diagnostics.
 * Operational Experience: Proven track record of working within a live operational telecom environment.
 * Data & Decision Making: Strong analytical skills with the ability to interpret complex, incomplete datasets to make confident, actionable decisions.
 * Communication: Clear written and verbal communication skills to justify actions and secure stakeholder buy-in.

Preferred Experience

 * Drive survey analysis.
 * Coverage predictions and analysis using the Atoll planning system.
 * Experience using Crowd datasets to measure actual coverage levels and serving cells.

## Description

We are seeking a Performance Specialist to join our Regional Planning & Optimisation team. You will be responsible for maintaining radio network KPI metrics, investigating and resolving customer issues, and driving continuous improvements to ensure top-tier network performance and an excellent subscriber experience., * Performance Monitoring: Monitor network KPI metrics at both regional (top-down) and cell levels (bottom-up) to investigate abnormal changes and determine root causes.

 * Issue Resolution: Investigate reported customer network issues and implement action plans, including performing RF tuning, managing remedy incidents, and requesting network investments.
 * AI Training: Provide feedback to data-driven AI operations algorithms to improve anomaly detection and root cause analysis recommendations.
 * Collaboration: Work closely with operations and managed service providers to ensure performance-impacting faults are progressed and resolved effectively.
 * Data Analytics: Utilize advanced data analytics to build evidence packs, drive business decisions, and improve departmental ways of working.
 * Team Support: Share knowledge openly and support the development of less experienced team members.


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