Automation Engineer

Beccles
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

MLOps Engineer

Machine Learning Engineer

Senior DataOps Engineer

Some engineers write code. Others develop the brains behind complex automated systems that revolutionise industries. This role is for the second type.

They’re looking for a Software Controls Design Engineer who can design and develop cutting-edge control systems for automation machinery. If you’re excited by robotics, motion control, and bringing machines to life, this could be the perfect role for you.

What’s in it for you?

  • Hands-on innovation - You won’t just write code, you’ll see it running on real automation systems.

  • Autonomy & trust - You’ll have the freedom to develop solutions that push the boundaries of what’s possible.

  • A fast-moving environment - Work on large-scale projects integrating PLCs, HMIs, robotics, and motion control.

  • Recognition for your work - Your ideas won’t go unnoticed, and you’ll have a direct impact on how machines operate.

  • The latest tech at your fingertips - Work with Rockwell, Siemens, Mitsubishi, Fanuc, and more.

    The Role

  • Develop PLC and HMI-based software for automation systems.

  • Collaborate with design teams to create solutions that integrate safety devices, robotics, and communication protocols.

  • Write, test, and troubleshoot software, ensuring seamless machine operation.

  • Create technical documentation and design philosophy documents.

  • Stay ahead of emerging technologies in automation, AI, and machine learning.

  • Work on-site during the commissioning phase to ensure successful system integration.

  • Optimise system performance by modifying software, electrical, and mechanical components when needed.

    What You’ll Need

  • A degree in Engineering, Software, or Automation, or equivalent experience.

  • Strong PLC and HMI programming skills - experience with Rockwell, Siemens, Mitsubishi, or B&R is ideal.

  • Knowledge of motion control, robotics (Fanuc, Staubli, Mitsubishi), and industrial networks.

  • Experience integrating servos, VFDs, Ethernet, and Profibus networks.

  • A problem-solving mindset - if something’s not working, you’ll figure out why.

  • The ability to work under pressure and meet deadlines without compromising on quality.

    Why Join?

    This is an opportunity to code smarter, not harder, in a company that’s at the forefront of automation. If you want to work on complex, high-tech projects, push the limits of control systems, and see your work in action, this is the role for you.

    Ready to make an impact? Let’s talk

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.