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- Tasks: Build and deploy AI solutions in a fast-paced tech environment.
- Company: Join The Big Phone Store, a leader in refurbished technology.
- Benefits: Up to ÂŁ40,000 salary, hybrid work, paid birthday off, and generous holiday.
- Why this job: Make a real impact with cutting-edge AI in a collaborative team.
- Qualifications: Solid Python skills and experience with AI frameworks like LangChain.
- Other info: Enjoy regular socials, clear progression pathways, and a supportive culture.
The predicted salary is between 40000 - 40000 ÂŁ per year.
Wolverhampton — Hybrid (3 days in office, 2 days remote)
Up to ÂŁ40,000 depending on experience
Full-Time | Permanent
Build AI That Actually Ships
At The Big Phone Store, we're applying modern AI to a fast‑moving, real‑world industry; refurbished technology. That means production systems, not prototypes. Your work will span AI agents, automation pipelines, vision AI, sentiment analysis, and data‑driven decision making, all built on a modern Python‑first stack. We're a small, established team which means less bureaucracy, real ownership, and the kind of variety that keeps the work interesting. If you're the type of engineer who figures things out independently and takes pride in shipping solutions that work, you'll fit right in.
What You’ll Be Working On
- Building and deploying AI agents and workflows using LangChain and CrewAI
- Developing and maintaining FastAPI services that power chatbots, data processing, and AI‑driven features
- Applying vision AI and models for real‑world classification and processing tasks
- Implementing sentiment analysis and other NLP‑driven solutions
- Designing logic‑based automation alongside AI‑driven pipelines
- Collaborating with teams across the business to identify where AI can drive genuine value
- Monitoring, troubleshooting, and continuously improving deployed systems
What We’re Looking For
We care more about what you can do than how long you’ve been doing it. You should be able to demonstrate:
- Solid Python skills, this is our primary language across the board
- Hands‑on experience with LangChain, CrewAI, or similar agent frameworks
- FastAPI or equivalent experience building and maintaining API services
- Comfort working with AI APIs and third‑party AI services
- The ability to work independently, you won’t need hand‑holding, and you’ll know when to ask for help
- Clear communication with both technical teammates and non‑technical stakeholders
- Experience with vision AI, MLOps, or cloud platforms is a bonus but not essential.
What We Offer
- Up to ÂŁ40,000 depending on experience
- Hybrid working — 3 days in Wolverhampton, 2 days remote
- Paid birthday off, separate from annual leave after year 2
- Up to 28 days holiday, plus an additional day per year from your second year
- Sick pay & comprehensive pension scheme
- Staff discounts on refurbished tech
- Free on‑site parking
- Regular socials and team events
- Bonus structure & clear progression pathways
The Big Phone Store is an equal opportunities employer. We welcome applications from candidates of all backgrounds.
Applied AI & Machine Learning Engineer in Wolverhampton employer: The Big Phone Store
Contact Detail:
The Big Phone Store Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI & Machine Learning Engineer in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 AI and machine learning. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, FastAPI, and AI frameworks. Practice explaining your thought process clearly, as communication is key when working with both tech and non-tech teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at The Big Phone Store.
We think you need these skills to ace Applied AI & Machine Learning Engineer in Wolverhampton
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your solid Python skills in your application. Since this is our primary language, we want to see how you've used it in real-world projects, especially in AI and automation.
Tailor Your Experience: When you’re writing your application, tailor it to reflect your hands-on experience with LangChain, CrewAI, or similar frameworks. We love seeing specific examples of how you've built and maintained API services!
Communicate Clearly: Remember, clear communication is key! Make sure your application showcases your ability to explain complex technical concepts in a way that non-technical folks can understand. This will help us see how you can collaborate across teams.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at The Big Phone Store
✨Know Your Python Inside Out
Since Python is the primary language for this role, make sure you brush up on your skills. Be ready to discuss your past projects and how you've used Python to solve real-world problems. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with AI Frameworks
Get to grips with LangChain and CrewAI, as these are key to the job. If you have experience with similar frameworks, be prepared to explain how they work and how you've applied them in your previous roles. Showing that you can hit the ground running will impress the interviewers.
✨Prepare for Technical Questions
Expect questions about building and maintaining API services, especially with FastAPI. Review common scenarios you might face and think through your problem-solving process. Being able to articulate your thought process clearly will show your technical competence.
✨Show Your Collaborative Spirit
This role involves working with various teams, so highlight your communication skills. Prepare examples of how you've successfully collaborated with both technical and non-technical stakeholders in the past. This will demonstrate that you can bridge the gap between different areas of the business.