Graduate Manufacturing Support Engineer

Blyth
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Science Graduate

Informatics Data Science Manager

Graduate Data Engineer

Graduate Data Analyst - Power BI

Graduate Data Analyst - Power BI

Zenith People are working with our client who are a Manufacturer based in the North-East and are looking to recruit an experienced Manufacturing Support Engineer to the business.

The main purpose of this role is to undertake Industrial Innovation projects, aimed to increase the efficiency and productivity Operations through digital transformation and automation. You will support all Operation Teams with their processes, working alongside the Manufacturing Engineer helping to provide a broad range of skills to assist in implementing improvements. The role will support directly to the Operations Support Manager whilst working closely with the industrial Innovation Support Manager.

Duties & Responsibilities

  • Cooperate with all Operational teams to help to identify new Industrial Innovation projects

  • Modify current improvements to bring their effectiveness up to speed

  • Management improvement projects , i.e.

    • Automating manual company processes with the aid of software or robotics

    • Develop ‘live progress’ tracking on production lines and associated KPI’s

    • Introduce automated visual inspection with the aid of cameras

  • Take responsibility for the software and hardware development, establishing robust troubleshooting and maintenance plans

    Skills & Experience Required

    The below are all desirable however would accept some gaps in knowledge if candidate is willing to learn and progress to develop their skills.

  • Understanding of basic wiring diagram, both power/control parts, low voltage power distribution, I/O and PLC connection

  • The ability to understand business concepts

  • Understanding of cloud platforms and API

  • Understanding the Full Stacks (database, python / C++, JavaScript, Cloud System, API)

  • Knowledge of server and network architecture

  • Basic knowledge of Microcontroller Board and/or Industrial PLC, Modbus / BACnet protocols

  • Knowledge of main control algorithm theory, basic knowledge in the computer vision

  • Basic knowledge of Industrial Robots

  • Preferably having 1 year experience software development related to automation project

    Qualifications

  • Degree in relevant field (Computer Science, Data Science, Automation Engineering)

  • Desirable to have additional training in any of the following:

    • Industry 4.0 technologies

    • IoT

    • AI

    • Digital Manufacturing

      Monday-Friday

      If you would like to be considered for this vacancy please click apply now

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.