Software Engineer

Computer Futures
Newport, Isle of Wight, Isle of Wight
9 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Remote Clearance Required

Software Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Hybrid

Software Engineer

TEC Partners Rayne, Essex, CM77 6WE, United Kingdom

Software Engineer, Machine Learning

Synthesia London, United Kingdom
Remote

Senior Software Engineer, Chem-Bio

AI Security Institute London, United Kingdom
£50,000 – £80,000 pa On-site Clearance Required

Senior Software Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Hybrid Clearance Required
Posted
21 Jul 2025 (9 months ago)

Join a Tech-Driven Team Revolutionising Utilities!

Are you ready to make a real-world impact through innovative software engineering? A leading UK-based technology company is on the hunt for a Software Engineer to help shape the future of smart manufacturing.

Now, with exciting expansions into energy and data analytics, they're driving sustainability and efficiency across critical infrastructure.

Location: Newport (On Site)

Salary: Up to £55,000 + Bens

💡 What You'll Do:

Develop Smart Software: Create and maintain C# applications that power intelligent manufacturing systems.
Engineer the Future: Collaborate on hardware and software integration for high-tech dataloggers monitoring water pressure, flow, and more.
Optimise Processes: Build tools that streamline production, enhance automation, and unlock data-driven insights.
Innovate with Impact: Your work will help save time, energy, carbon, and cost for customers across the globe.🧠 What You Bring:

Experience in C# development
A proactive, hands-on mindset with a passion for problem-solving
Strong communication skills and a collaborative spirit
A background in manufacturing or hardware integration is a bonus🎯 Why You'll Love It:

Work on meaningful tech that improves lives and protects resources
Be part of a global network of innovators backed by a FTSE 100 parent company
Enjoy a dynamic, supportive environment where your ideas matter

Whether you're an early-career developer or a seasoned engineer looking to make a difference, this is your chance to join a team that's building smarter, greener solutions for tomorrow. Apply Now to be considered.

To find out more about Computer Futures please visit

Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.