At a Glance
- Tasks: Lead AI-assisted visual inspection and automation projects in manufacturing.
- Company: Join a forward-thinking engineering firm shaping Industry 4.0 solutions.
- Benefits: Competitive salary of £60,000 to £70,000 and hybrid work flexibility.
- Other info: Exciting opportunity to influence cutting-edge engineering across various businesses.
- Why this job: Be at the forefront of digital manufacturing and innovation.
- Qualifications: 4-6 years in digital manufacturing with knowledge of PLCs, SCADA, and robotics.
The predicted salary is between 60000 - 70000 € per year.
Energy Jobline ZR is looking for a Manufacturing Systems & Automation Engineer to lead projects in AI-assisted visual inspection and automation. This hybrid role, based in London, calls for 4-6 years of experience in digital manufacturing and familiarity with technologies like PLCs, SCADA, and robotics.
The salary ranges from £60,000 to £70,000, and the successful candidate will have the opportunity to shape Industry 4.0 solutions across a portfolio of innovative engineering businesses.
Manufacturing Systems & Automation Engineer - AI & IIoT in London employer: Energy Jobline ZR
Energy Jobline ZR is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration in the rapidly evolving field of AI and IIoT. With a strong focus on employee growth, we offer comprehensive training and development opportunities, ensuring our team members are at the forefront of Industry 4.0 advancements. Located in London, our hybrid work model provides flexibility while being part of a vibrant engineering community, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Manufacturing Systems & Automation Engineer - AI & IIoT in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in AI-assisted visual inspection and automation. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for interviews by researching the company’s recent projects and challenges. We want you to walk in with insights that show you’re not just another candidate, but someone who’s genuinely interested in shaping their future.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’ve got loads of resources to help you ace the process and land that dream job in manufacturing systems and automation.
We think you need these skills to ace Manufacturing Systems & Automation Engineer - AI & IIoT in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in digital manufacturing and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in PLCs, SCADA, and robotics!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-assisted visual inspection and automation. We love seeing candidates who can connect their personal interests with our mission at StudySmarter.
Showcase Your Projects:If you've led any projects related to Industry 4.0 or automation, make sure to mention them! We’re keen to see how you’ve applied your skills in real-world scenarios, so include specific examples that demonstrate your impact.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents to the right people at StudySmarter!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Tech
Make sure you brush up on your knowledge of PLCs, SCADA, and robotics. Be ready to discuss how you've used these technologies in past projects, especially in relation to AI-assisted visual inspection.
✨Showcase Your Experience
With 4-6 years of experience required, prepare specific examples from your previous roles that highlight your contributions to digital manufacturing. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand Industry 4.0
Familiarise yourself with the latest trends and innovations in Industry 4.0. Be prepared to share your thoughts on how you can contribute to shaping solutions in this area for the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction in AI and IIoT. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
