Applications Engineer

MorePeople
Peterborough, Cambridgeshire
6 months ago
Applications closed

Related Jobs

View all jobs

End User Sales Consultant

Hunter Hughes Nottingham, Nottinghamshire, United Kingdom
£50,000 – £58,000 pa

Automation Engineer

First Military Recruitment Crediton, Devon, United Kingdom
£55,000 pa

Embedded Software Engineer

Deep Sea Electronics Ltd United Kingdom

Python Engineer

Parity Network Edinburgh, Alba / Scotland, United Kingdom
£550 pd

Controls Engineer

THOMAS Professional Gloucester, Gloucestershire, United Kingdom
£45,000 – £60,000 pa

Maintenance Engineer

Hunter Selection Merthyr Tydfil, Mid Glamorgan, United Kingdom
£42,000 – £45,000 pa
Posted
13 Oct 2025 (6 months ago)

Are you a hands-on engineer ready to bring AI to life on the factory floor?

I'm working with a leading UK-based automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings.

This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection tasks with smart, real-time image analysis.

Why This Role Stands Out

Innovative Technology: Be at the forefront of deploying next-gen AI vision systems in the food industry.
Real-World Impact: Your work directly improves quality, reduces waste, and enhances food safety and traceability.
Project Ownership: Take the lead on deployments while working alongside a highly experienced engineering team.

What You'll Be Doing

Designing and implementing machine vision inspection systems using AI/ML tools.
Running trials and developing proof-of-concepts to validate deep learning models in real environments.
Programming and configuring PLCs and SCADA systems.
Installing, commissioning, and supporting automation systems on customer sites.
Documenting solutions-creating clear functional design specs and support manuals.
Acting as the technical lead during deployments and customer troubleshooting
Supporting the wider automation team in delivering integrated project solutions.
Conducting feasibility studies for customer-specific machine vision challenges.

What We're Looking For

Experience in machine vision, automation, or similar engineering roles.
Hands-on experience deploying machine vision or image analysis systems in industrial or research environments.
Comfortable working with AI/ML platforms or deep learning-based vision tools.
Strong troubleshooting and problem-solving skills in production environments.
Excellent communication skills and ability to liaise with operators and engineers.
Full UK driving licence and willingness to travel extensively (50%+ UK-wide).

What's on Offer

Company vehicle
Flexible working arrangements
25 days holiday plus public holidays (option to buy/sell up to 5 days)
Company pension scheme
Death in service benefit
Ongoing professional development (fees covered)
Access to Smart Health: 24/7 GP, mental health support, and wellbeing servicesINDOTHER

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.

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Advertising robotics jobs in the UK requires a different approach to most technical hiring. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Robotics Employers to Watch in 2026: UK and Global Companies Transforming Automation Careers

Robotics is moving rapidly from factory floors into healthcare, logistics, agriculture, autonomous systems, and consumer products. As automation becomes embedded in everyday life, companies are investing in robots that operate alongside humans, analyse environments in real time, and learn from data. In 2026, demand for robotics engineers, software developers, system integrators, and AI specialists continues to surge. For professionals exploring opportunities on www.RoboticsJobs.co.uk , understanding the employers that are scaling, winning contracts, securing investment, or expanding into the UK market is crucial. This article highlights top robotics employers to watch in 2026, spanning innovative startups, high‑growth scale‑ups, and established global technology leaders with strong UK presence.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.