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For Companies At a Glance
- Tasks: Drive innovation in digital manufacturing and optimise production processes using cutting-edge technology.
- Company: Leading provider of innovative laser systems with a focus on global markets.
- Benefits: Competitive salary, opportunities for professional growth, and a dynamic work environment.
- Why this job: Shape the future of manufacturing with your expertise in AI and automation.
- Qualifications: Degree in engineering or computer science and experience in digital manufacturing systems.
- Other info: Join a collaborative team dedicated to continuous improvement and digital transformation.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
A leading provider of innovative laser systems to help people in various global markets, including but not limited to renewables, microelectronics, research, life science, automotive, and medicine.
We seek an experienced Digital Manufacturing Engineer to drive innovation and efficiency in a world-class manufacturing facility as they continue their digital transformation. This role is ideal for a technically skilled professional with a proven track record in digital manufacturing systems, automation, and process optimisation.
The successful candidate will leverage expertise in programming, databases, AI, and Industry 4.0 technologies to develop and implement advanced solutions that enhance production capability, quality, and scalability. This is a high-impact role where your expertise will directly shape the future of the manufacturing operations.
PRIMARY DUTIES & RESPONSIBILITIES.
- Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability.
- Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance.
- Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve data traceability.
- Write, test, and deploy Python (and/or C#) plugins for automation, predictive analytics, and process control.
- Optimise, and manage SQL databases to support smart tooling, data integrity, and production analytics.
- Utilise Power BI and other visualisation tools to generate automated reports, dashboards, and actionable insights.
- Set best practice standards working with international cross-functional engineering, production, and IT teams to drive successful continuous improvement initiatives and digital transformation projects.
EDUCATION & EXPERIENCE
- Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience.
- Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments.
- Hands-on experience with MES, ERP, PLM, SQL and process control tools.
- Strong proficiency in programming (Python, C#) with demonstrated project experience.
- Track record of delivering measurable improvements in production performance, efficiency, or quality.
PREFERRED ADDITIONAL EXPERIENCE
- Experience with Lean Manufacturing, Six Sigma, or similar continuous improvement methodologies.
- Experience with industrial automation systems (e.g., PLC programming, SCADA systems).
- Experience with IIoT for platforms for real-time monitoring and remote data collection.
- Hands-on experience with robotics integration or cobots in manufacturing.
- Practical experience with FileMaker.
- Familiarity with ISO 9001/13485.
Digital Manufacturing Engineer employer: Solutions Driven
Contact Detail:
Solutions Driven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Manufacturing Engineer
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI, and automation. This gives potential employers a tangible look at what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to digital manufacturing and automation. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Digital Manufacturing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Digital Manufacturing Engineer role. Highlight your experience with digital manufacturing systems, automation, and any relevant programming skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about digital transformation in manufacturing. Share specific examples of how you've driven innovation and efficiency in past roles – we love a good story!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your proficiency in Python, C#, SQL, and any experience with AI or machine learning. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Solutions Driven
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of digital manufacturing systems, automation, and AI/ML analytics. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to optimise processes and improve production efficiency. Think about times when you used programming languages like Python or C# to solve real-world problems in a manufacturing setting.
✨Familiarise Yourself with Their Tools
Research the specific tools mentioned in the job description, such as Oracle Integrated Manufacturing Execution System and Power BI. If you have experience with these, be ready to discuss how you've used them to streamline workflows or generate insights.
✨Emphasise Team Collaboration
This role involves working with cross-functional teams, so be prepared to talk about your experience collaborating with engineering, production, and IT teams. Highlight any successful continuous improvement initiatives you've been part of and how you contributed to their success.
