It Technician

Stone
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Technical Program Manager - Machine Learning - New York

Data Scientist

Machine Learning Scientist

Senior Machine Learning Engineer

Senior Machine Learning Engineer - LLM

We’re looking to support our client operating in the gas sector with a requirement for a Digital Technology Engineer. This will be a full time permanent staff role based in our client’s state of the art workshop facility near Stone, Staffordshire. A competitive salary up to 50K per annum is available – subject to prior experience level – along with a comprehensive benefits package and unrivalled professional support, development and training. A full description is given below - to apply please respond with a copy of your latest CV and information on your current situation and availability to start a new role.
Are you a dynamic and innovative IT specialist eager to make a meaningful impact on the journey to net zero emissions in the gas industry? Join us in a transformative role that merges your technical expertise with unmatched development opportunities and a clear pathway for advancing your career.
We have innovated within the gas industry since our inception in 1984, we have paved the way, developing technologies and solutions used throughout the UK gas industry still utilised in today’s national infrastructure. Our next chapter and challenge is to aid in the gas industries transition to net zero and we are looking for passionate capable people to join our team.
Responsibilities:
• Aid in development of the latest technology, standards, and best practice into our Operational technology equipment.
• Carry out cyber security threat assessments in line with IEC 62443 or equivalent.
• Complete asset vulnerabilities identification activities.
• Research and understand the latest advancements in IT and network technologies.
• Complete R&D activities aligned to the Digital Technology Divisions 4 key Market Areas:

  • OT Cyber Security
  • Industrial Internet of Things (IIOT)
  • Artificial Intelligence (AI)
  • Big Data Analytics.
    Requirements
    • Have a minimum of at least 5 years’ experience within the IT and Software Operational Technology market
    • Familiarity with high-level programming language/s (Like Python, NodeJS)
    • Familiarity with Web development languages (like PHP, JavaScript, and HTML)
    • Familiarity with IEC61131 programming languages
    • Familiarity with PLC programming IDEs such as RSLogix 5000, GX Developer, Codesys and TIA Portal
    • Familiarity with databases such as SQL
    • Familiarity with database integration for web services.
    • Understanding of IoT devices protocols such as MQTT, AMQP, CoAP, etc.
    • Familiarity with client-server architecture.
    Development Opportunities and Career Progression
    We are deeply invested in fostering your professional growth. As a Digital Technology Engineer within our group you'll gain access to:
    • Tailored developmental plans to elevate your technical competencies and deepen your grasp of industry dynamics.
    • Cross-disciplinary training to broaden your perspective across various facets of the gas industry.
    • Full support for pursuing pertinent certification and support to pursue further education on sustainability technologies.
    Benefits:
    Pay: The salary banding for this role is £40,000 to £50,000 and is based on an applicant’s Skills, Training and Competence.
    Attractive benefits package including:
    • 25 annual leave per year plus bank and public holidays
    • Option to buy 3 additional days annual leave.
    • Enhanced Maternity & Paternity pay after 2 years of service.
    • Death in Service
    • Income protection scheme
    • Employer Pensions contribution
    • Access to vocational rehabilitation
    •Employee assistance programme
    • Free eye test and money off glasses
    • Long service vouchers and additional holidays
    • Wedding vouchers
    • Option to join Sports social club for £4 a month which allows you to attend events at reduced cost or for free

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.