At a Glance
- Tasks: Build and deploy AI agents while developing FastAPI services and utilising vision AI.
- Company: A tech refurbishment company in Wolverhampton with a focus on innovation.
- Benefits: Earn up to £40,000, enjoy hybrid working, and get paid birthday off.
- Other info: Enjoy a dynamic work environment with great career growth opportunities.
- Why this job: Join a cutting-edge team and make a real impact in AI solutions.
- Qualifications: Strong Python skills and experience with AI frameworks like LangChain.
The predicted salary is between 40000 - 40000 £ per year.
A technology refurbishment company in Wolverhampton is seeking an Applied AI & Machine Learning Engineer. This role involves building and deploying AI agents, developing FastAPI services, and utilizing vision AI. The ideal candidate should demonstrate strong Python skills and experience with AI frameworks like LangChain.
Additionally, the company offers up to £40,000 salary, hybrid working model, and additional perks including paid birthday off and comprehensive pension scheme.
Applied AI & ML Engineer - Ship Practical AI Solutions in Wolverhampton employer: The Big Phone Store
Join a forward-thinking technology refurbishment company in Wolverhampton, where innovation meets a supportive work culture. With a competitive salary of up to £40,000, hybrid working options, and unique benefits like paid birthday leave, we prioritise employee well-being and growth. Our commitment to professional development ensures that as an Applied AI & Machine Learning Engineer, you will have ample opportunities to enhance your skills and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI & ML Engineer - Ship Practical AI Solutions in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI frameworks like LangChain. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining your past projects and how you've used FastAPI or vision AI. Confidence is key, so make sure you can articulate your experience clearly!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Applied AI & ML Engineer - Ship Practical AI Solutions in Wolverhampton
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in AI and ML contexts. Don't hold back on showcasing any relevant frameworks like LangChain!
Tailor Your Application:Take a moment to customise your application for this role. We love seeing candidates who understand our needs and can demonstrate how their experience aligns with building and deploying AI solutions. A little effort goes a long way!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're the perfect fit for the Applied AI & ML Engineer position.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at The Big Phone Store
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of AI frameworks, especially LangChain. Be ready to discuss how you've used these tools in past projects and how they can be applied to practical AI solutions.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand FastAPI Services
Familiarise yourself with FastAPI and its benefits for building APIs. Be prepared to explain how you would design and deploy a service using FastAPI, and think of examples from your experience that highlight your expertise.
✨Prepare for Vision AI Questions
As vision AI is part of the role, review key concepts and recent advancements in this area. Think about how you can apply vision AI in practical scenarios and be ready to discuss any relevant projects you've worked on.
