National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Automation Engineer

Nottingham
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

Head of Data Engineering

Head of Data Engineering (London)

Machine Learning Engineer Language

Machine Learning Engineer, London (London)

Machine Learning Engineer, London

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

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.