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- Tasks: Design and implement AI solutions to enhance manufacturing processes and efficiency.
- Company: Join SNOWBUD LIMITED, a leader in manufacturing innovation using cutting-edge AI technology.
- Benefits: Enjoy competitive salary, career growth opportunities, and work on exciting AI applications.
- Why this job: Be part of a transformative journey in smart manufacturing with industry leaders.
- Qualifications: Bachelor’s or Master’s in relevant fields with 3+ years of AI development experience required.
- Other info: Work with IoT and robotics while ensuring compliance with industry standards.
The predicted salary is between 43200 - 72000 £ per year.
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SNOWBUD LIMITED is a leader in manufacturing innovation, leveraging cutting-edge AI to optimise processes, reduce costs, and improve efficiency. We are seeking a Manufacturing AI Engineer to design and implement AI-driven solutions that enhance production, predictive maintenance, and supply chain optimisation.
Company Description
SNOWBUD LIMITED is a leader in manufacturing innovation, leveraging cutting-edge AI to optimise processes, reduce costs, and improve efficiency.
Key Responsibilities
- Develop AI Models – Design and implement machine learning models for predictive maintenance, quality control, and process optimisation.
- Integrate AI with IoT & Robotics – Work with industrial IoT (IIoT) devices and robotic systems to enhance automation and smart manufacturing.
- Optimise Production Efficiency – Apply AI-driven analytics to identify bottlenecks and improve workflow efficiency.
- Data Processing & Analysis – Collect and analyse manufacturing data to extract actionable insights.
- AI Deployment & Maintenance – Deploy AI models into manufacturing environments and continuously improve their performance.
- Collaborate with Cross-Functional Teams – Work with engineers, data scientists, and operations teams to implement AI solutions effectively.
- Ensure AI Compliance & Ethics – Ensure AI solutions align with industry regulations and ethical standards.
Required Skills & Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Industrial Engineering, or a related field.
- Technical Skills:
- Proficiency in Python, TensorFlow, PyTorch, or similar AI frameworks.
- Experience with industrial IoT, robotics, and automation technologies.
- Knowledge of computer vision for defect detection and quality control.
- Strong understanding of manufacturing processes and supply chain operations.
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
- Experience: 3+ years in AI development, preferably in manufacturing or industrial automation.
- Soft Skills: Problem-solving mindset, collaboration, and strong communication skills.
Preferred Qualifications
- Experience with digital twins and AI-driven simulations.
- Knowledge of reinforcement learning for process optimisation.
- Familiarity with regulatory compliance in manufacturing AI (e.g., ISO 9001, Industry 4.0 standards).
Why Join Us?
- Work on cutting-edge AI applications in smart manufacturing.
- Collaborate with industry leaders in AI, robotics, and IoT.
- Competitive salary and benefits, including career growth opportunities.
- Opportunity to drive digital transformation in manufacturing.
How to Apply
- Send your CV and cover letter to
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
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Manufacturing AI Engineer employer: SNOWBUD LIMITED
Contact Detail:
SNOWBUD LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing AI Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in AI and manufacturing. Understanding how AI is currently being applied in manufacturing processes will give you an edge during interviews and discussions with our team.
✨Tip Number 2
Showcase your experience with industrial IoT and robotics. Highlight specific projects where you've integrated AI with these technologies, as this is crucial for the role at SNOWBUD LIMITED.
✨Tip Number 3
Prepare to discuss your problem-solving approach. We value candidates who can demonstrate a strong analytical mindset and provide examples of how they've tackled challenges in previous roles.
✨Tip Number 4
Network with professionals in the AI and manufacturing sectors. Engaging with industry leaders can provide insights and potentially valuable connections that may help you stand out in the application process.
We think you need these skills to ace Manufacturing AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI development, particularly in manufacturing or industrial automation. Emphasize your proficiency in Python and any experience with frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and manufacturing innovation. Mention specific projects or experiences that demonstrate your ability to design and implement AI-driven solutions.
Showcase Technical Skills: Clearly outline your technical skills related to industrial IoT, robotics, and cloud platforms. Provide examples of how you've used these technologies to optimize processes or improve efficiency in previous roles.
Highlight Soft Skills: Don't forget to mention your problem-solving mindset and collaboration skills. Provide examples of how you've worked effectively in cross-functional teams to implement AI solutions.
How to prepare for a job interview at SNOWBUD LIMITED
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, TensorFlow, and other AI frameworks. Highlight specific projects where you've developed machine learning models or worked with industrial IoT devices.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled challenges in previous roles, especially related to manufacturing processes or automation. This will showcase your problem-solving mindset, which is crucial for this position.
✨Understand the Company’s Vision
Research SNOWBUD LIMITED and its approach to manufacturing innovation. Be ready to discuss how your skills can contribute to their goals of optimizing processes and improving efficiency.
✨Emphasize Collaboration Skills
Since the role involves working with cross-functional teams, be sure to highlight your experience in collaborative projects. Share instances where you successfully communicated and worked with engineers, data scientists, or operations teams.
