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- Tasks: Design and deploy AI solutions that make a real difference across industries.
- Company: Leading tech services company in the UK with a focus on innovation.
- Benefits: Flexible working hours and a comprehensive benefits package.
- Why this job: Join a dynamic team and work on impactful AI projects for government clients.
- Qualifications: Strong software engineering skills, proficiency in Python, and experience with ML frameworks.
- Other info: Opportunity to collaborate with top data scientists and engineers.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology services company in the UK seeks an experienced AI Engineer to design and deploy impactful AI solutions across various industries. Candidates should have a strong software engineering background, proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow. This position involves collaboration with data scientists and engineers to meet client needs, particularly for government clients requiring security clearance. The role offers flexible working and a comprehensive benefits package.
Production AI Engineer – Scalable ML & Cloud in Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or cloud solutions. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning frameworks like PyTorch or TensorFlow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process when designing AI solutions, as collaboration is key in this role. We want to see how you tackle real-world problems!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Production AI Engineer – Scalable ML & Cloud in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering background and any experience you have with Python and machine learning frameworks like PyTorch or TensorFlow. We want to see how your skills can help us design and deploy impactful AI solutions!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the job description. We love seeing candidates who understand our needs and can articulate how they fit in.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, less is often more!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to follow your application status directly. Let’s make this process smooth together!
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 get familiar with machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience.
✨Understand the Company and Its Clients
Research the technology services company and its work with government clients. Knowing their mission and recent projects can help you tailor your answers and demonstrate your interest in their work.
✨Prepare for Collaboration Questions
Since the role involves working closely with data scientists and engineers, think of examples that showcase your teamwork skills. Be ready to discuss how you’ve successfully collaborated on projects in the past.
✨Security Clearance Awareness
As this position requires security clearance, be prepared to discuss your understanding of the implications and processes involved. If you have prior experience with sensitive data, make sure to highlight that.
