Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Network Data Engineer, London

Axiom Software Solutions
London
1 week ago
Applications closed

Related Jobs

View all jobs

Specialist Data Engineer

Senior Data Engineer

Senior Data Engineer, Data Platform

Market Data Engineer - C++

Technical Data Engineer

Data Engineer

Network Data Engineer
Job Description:

Job Role Network Data Engineer
Location Across UK on Fully Remote mode
Working Type Remote working mode
Work position- Min. 15+ months Contract (Possible Extension)

Detailed JD

The key areas of expertise of Extensive support for DC Operation support
Expertise in L2/L3 IP protocols i.e. HSRP, OSPF, BGP, MPLS and VRF
Should have expertise in understanding of the multi-vendor/technology environment specialized in Viptela SD-WAN, Cisco SD-Access, Cisco DNA and Cisco ISE
Should have deep knowledge of configuration and troubleshooting of IP protocols and hardware platform.
Good understanding of Data Center infrastructure and Branch/Headquarter connectivity

Expertise knowledge of Routing and switching.

Troubleshooting expert of network related issues, Sound understanding of troubleshooting tools like Wireshark and can-do packet analysis
Need expertise in deployment SD-WAN SD-Access
Interaction with Customer and Understanding customer network and Services Delivery requirement is must.
Handling Deployment, Implementation, Preparing High level Design, Low Level Design

Preparation of Solution document and Network impact report.

Candidates with deployment/operation experience Data center environment having advantage.
Involving in Client interaction on regular basis to understand the Business of the Client, doing coordination, and direction of work.
Providing consultation on designing part from Network perspective with SD-WAN, SD-Access
Good knowledge of Software-Defined Access in the Cisco-powered Enterprise Campus network. SDAFND
Should be flexible to support 24/7
Should have knowledge of Vulnerability Management, Lifecycle Management
Providing break fix for ongoing issues with P1 and critical Incidents.
CCNP- ENCOR Certified or CCIE Enterprise Infrastructure
Good to have Cisco ENSDENG certification.

Cisco,

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.