Network Analyst

Cheltenham
9 months ago
Applications closed

Related Jobs

View all jobs

Voice & Data Analyst

Data Analyst

Data Analyst

Power BI Data Analyst

Data Analyst Training Course (Excel, SQL & Power BI)

Senior Data Analyst - HOTH, Permanent

Network Analyst

Contract onsite in Cheltenham Day rate: £600 - £700 per day inside IR35

We're currently seeking an accomplished and highly ambitious Network Analyst to work with our exceptional client, a world class brand in a secure environment to drive major business transformation, process and technical change across this complex organisation.

This contract roles will require you to conduct security clearance prior to assignment. The Network Analyst role is conducted in an environment that is far from ordinary, therefore, we're not looking for ordinary.

Responsibilities:

  • Work with Projects to determine their network analysis requirements and use knowledge to apply known techniques.

  • Use or build familiarity with tooling to apply techniques to mission data.

  • Work with data scientists and analysts to ensure information extracted is useful and useable.

  • Share knowledge with the team to enhance our collective capabilities.

    Skills:

  • Network analysis, including using common tools such as wireshark

  • Protocol analysis and strong understanding of protocols

  • Strong analytical and problem-solving skills

  • Excellent communication skills, highly enthusiastic team player.

    As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.

    We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.