At a Glance
- 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 £40,000 salary, hybrid work, paid birthday off, and generous holiday.
- Other info: Enjoy regular socials, clear progression pathways, and a supportive culture.
- 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.
The predicted salary is between 80000 - 98000 £ per year.
- Applied AI & Machine Learning Engineer
- Wolverhampton — Hybrid (3 days in office, 2 days remote)
- Up to £40,000 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 Lang Chain and Crew AI
- Developing and maintaining Fast API 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 Lang Chain, Crew AI, or similar agent frameworks
- Fast API 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 £40,000 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
- Equal opportunities employer proud of it since 1999
The Big Phone Store is an equal opportunities employer. We welcome applications from candidates of all backgrounds.
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Applied AI & Machine Learning Engineer in Wolverhampton employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI & Machine Learning Engineer in Wolverhampton
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Allscreens Nationwide Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Allscreens Nationwide Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Allscreens Nationwide Ltd.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Allscreens Nationwide Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI & Machine Learning Engineer in Wolverhampton
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Allscreens Nationwide Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Allscreens Nationwide Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Allscreens Nationwide Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Allscreens Nationwide Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
