Automation Engineer

Nottingham
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Automation)

Data Engineer

Automation & Data Engineer — Hybrid, AI-Ready Pipelines

Lead Automation & Data Engineer - Hybrid, Impact & Savings

Hybrid Data Engineer: Automation & Analytics

Lead Automation & Data Engineer — Hybrid, High Impact

Role: SCADA / PLC Automation Engineer
Salary: £40k - £60k per year + benefits
Location: Fully Remote, UK
Are you a Manufacturing Automation Engineer who is looking for something just a little bit different?
A chance to develop your programming skills and to get into the world of AI and Machine Learning?
Working for a new, unique hybrid engineering/ML company who are shaking up a huge global industry, you’ll have a chance to combine your love of tinkering with robotics and automation with a newfound appreciation of all of the possibilities of AI and Machine Learning in the field of industrial manufacturing.
This company have come from seemingly nowhere to suddenly be one of the hottest names in their industry, but their success is no overnight success story.
They are led by experts in the robotics, automations and manufacturing industry – these bright sparks saw an opportunity to spin out a new company that combined old school know-how with cutting edge data and Machine Learning technology and so far, their order book shows no sign of slowing down.
You’ll be joining a charismatic and passionate manager who is well travelled in the world of automation and manufacturing technology – he’s going to be someone amazing to learn from.
He’s looking for someone who shares his joy at breaking things and then fixing them to understand how things work…someone who is a true engineer at heart. He wants someone who has several years of SCADA and PLC programming experience (Siemens preferred though Rockwell, Schneider, Mitsubishi is fine).
You’ll have worked with current and obsolete PLC/SCADA systems and will ideally have a good understanding of databases such as Microsoft Sql Server or MySql.
Any programming experience with Python, C++ or BASIC would be advantageous, BUT, if you don’t have strong programming experience but are able to learn quickly and are excited about adding more programming experience to your armoury then you will still be considered!
Ideally you will also have at least some experience of working within food manufacturing environments.
This role will be hybrid with time spent between your home, their office in South Yorkshire and client sites across the UK, so you must be comfortable with travel.
Please apply or call us (google Rebel Recruiters for our number!) to discuss further.
We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background

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.

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.

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.