Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Automation Engineer

Nottingham
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Automation & Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer

Investment Management Data Engineer

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.