Cable Network Engineer

Square One Resources
Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

GIS Technician

Labourer

Data Engineer

Job Title:Cable Network Engineer
Location:Cambridge and surrounding areas
Salary/Rate:£ - £ per day (based on an 8-hour working day, dependent on experience)
Start Date:04/11/
Job Type: Contract

Company Introduction:

We are a leading provider of advanced cabling and data solutions, delivering high-quality installations for domestic, commercial, and industrial environments. Our team focuses on copper and fiber installations, ensuring reliable infrastructure for our clients. We are seeking experienced data engineers to join our dynamic team and contribute to high-profile projects across the region

Job Responsibilities/Objectives:

As a Data Engineer, you will be responsible for structured cable pulling and installation, ensuring the smooth execution of both copper and fiber networks. You will need to be proficient in all stages of the process, from 1st and 2nd fix to termination and certification testing. Occasionally, you may take on a leadership role, requiring the ability to read construction drawings and route cables accordingly.

Key responsibilities include:

1.Perform structured cable pulling and installation in domestic, commercial, and industrial environments.
2.Conduct 1st and 2nd fix installations, including termination (both floor and cabinet end) and certification testing.
3.Work in live environments, maintaining professionalism and a client-focused attitude.
4.Read construction drawings and manage cable routing within and outside buildings when required.
5.Utilise Excel network solutions and work with various cable brands (Ultima, Draka, Commscope, etc.).

Required Skills/Experience:

The ideal candidate will have the following:

1.Proven track record in structured cabling, with a focus on copper and fiber installation.
2.Proficiency in Excel network solutions, with experience in brands like Ultima, Draka, Hellermantyton, etc.
3.CSCS/ECS trade-specific card (or the ability to provide work examples if non-trade specific).
4.Enhanced DBS check (mandatory due to work with vulnerable people).
5.Understanding of construction drawings and cable routing.

Desirable Skills/Experience:

1.SSSTS qualification (advantageous but not necessary).
2.Experience with brands like Leviton, Panduit, and Commscope.

Additional Requirements:

1.Basic set of hand tools, including cutters/snips, Stanley knife, screwdrivers, combi drill, punchdown tool, and more.
2.Own transport is essential. Parking will be provided where possible.

Benefits & Perks:

1.opportunities to work on high-profile projects in the region.
2.Supportive work environment with potential for growth and development.

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.