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- Tasks: Design and deploy impactful AI solutions using scalable ML and cloud technologies.
- Company: Leading technology services provider in the UK with a focus on innovation.
- Benefits: Flexible working options, comprehensive benefits package, and professional development opportunities.
- Why this job: Join a dynamic team to create cutting-edge AI solutions that make a real difference.
- Qualifications: Strong software engineering background, proficiency in Python, and experience with ML frameworks.
- Other info: Collaborate with data scientists and engineers in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology services provider in the UK seeks an AI Engineer to design and deploy impactful AI solutions. This role requires a strong background in software engineering, proficiency in Python, and experience with ML frameworks. You will collaborate with data scientists and software engineers to meet business needs. Candidates must be SC Eligible.
This position offers a comprehensive benefits package, including flexible working options and professional development opportunities.
Production AI Engineer – Scalable ML & Cloud in Newcastle upon Tyne employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer – Scalable ML & Cloud in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python and ML frameworks. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and software engineering. Practice explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Production AI Engineer – Scalable ML & Cloud in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Collaboration Skills: Since you'll be working closely with data scientists and software engineers, mention any past experiences where teamwork made a difference. We value collaboration, so let us know how you thrive in a team setting!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Version 1
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any ML frameworks you've worked with. Be ready to discuss specific projects where you've designed or deployed AI solutions, as this will show your practical experience.
✨Collaborate Like a Pro
Since you'll be working closely with data scientists and software engineers, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success.
✨Understand the Business Needs
Research the company and its services to understand their business model. Be prepared to discuss how your AI solutions can address their specific challenges and add value to their operations.
✨Be SC Eligible Ready
Ensure you know what being SC Eligible entails and be ready to discuss your eligibility. This shows that you're not only qualified but also aware of the requirements for the role.
