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- Tasks: Design and develop AI models to optimise manufacturing processes and workflows.
- Company: A well-known manufacturing company with a global presence.
- Benefits: Day rate of £450-550, remote work, and potential for contract extension.
- Why this job: Join a dynamic team and make a real impact in the manufacturing industry.
- Qualifications: Experience in AI and machine learning, proficiency in Python or R.
- Other info: Opportunity for occasional travel and collaboration with cross-functional teams.
The predicted salary is between 45000 - 66000 £ per year.
Outside IR35 3 month contract with potential for extension.
About Our Client: A well-known manufacturing company with a global presence.
Job Description:
- Design and develop AI models to optimise manufacturing processes and workflows.
- Collaborate with cross-functional teams to identify and solve key operational challenges using analytics.
- Implement machine learning algorithms and predictive analytics to improve process efficiency.
- Analyse large datasets to extract actionable insights and present findings to stakeholders.
- Monitor and maintain AI models to ensure optimal performance and accuracy over time.
- Contribute to the development of data pipelines and infrastructure to support AI initiatives.
- Ensure compliance with industry standards and best practices in AI and data analytics.
- Document processes, methodologies, and project outcomes for internal knowledge sharing.
The Successful Applicant: A successful AI Engineer should have:
- Proven experience in developing and implementing AI and machine learning models.
- Proficiency in programming languages such as Python, R, or similar tools.
- Machine Vision experience is beneficial.
- Previously worked in a manufacturing business with multiple sites.
What's on Offer: Day rate of £450-550 per day (outside IR35), 3 month contract with potential extension, remote role, with occasional travel to site.
AI Engineer in London employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the manufacturing and AI sectors. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models and projects. This is your chance to demonstrate your expertise in Python, R, and machine learning to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and machine learning questions. Be ready to discuss how you've tackled operational challenges in the past and how your solutions made an impact.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. We want to see how you've tackled similar challenges in the past, especially in manufacturing. Don’t just list your skills; show us how you’ve used them!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects or experiences that relate to optimising manufacturing processes and collaborating with teams.
Showcase Your Technical Skills: We’re looking for proficiency in programming languages like Python or R. Make sure to include any relevant projects or achievements that demonstrate your technical prowess. If you have machine vision experience, don’t forget to highlight that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Michael Page (UK)
✨Know Your AI Models
Make sure you brush up on the AI and machine learning models you've worked with. Be ready to discuss specific projects where you've implemented these models, especially in a manufacturing context. This will show your potential employer that you have the hands-on experience they’re looking for.
✨Showcase Your Programming Skills
Since proficiency in programming languages like Python or R is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to AI and data analytics beforehand.
✨Understand the Manufacturing Landscape
Familiarise yourself with the manufacturing processes and challenges that the company faces. Being able to discuss how AI can optimise these processes will set you apart. Research their operations and think of specific examples where your skills could make an impact.
✨Prepare for Data Analysis Questions
Expect questions about analysing large datasets and extracting actionable insights. Brush up on your analytical skills and be prepared to discuss how you’ve presented findings to stakeholders in the past. Use clear examples to illustrate your thought process and results.