Vision AI Solutions Engineer in Manchester

Vision AI Solutions Engineer in Manchester

Manchester Full-Time 67500 - 82500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Deploy and optimise vision AI solutions while solving technical challenges.
  • Company: Everseen, a leader in vision AI for global retailers.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to collaborate with R&D and engineering teams.
  • Why this job: Join a cutting-edge team and make a real impact in the retail tech space.
  • Qualifications: Technical problem-solving skills and project management experience.

The predicted salary is between 67500 - 82500 £ per year.

Everseen, a leader in vision AI solutions for global retailers, seeks a Technical Solutions Engineer to deploy, support, and optimize platform solutions in client environments.

This role blends technical problem solving with project management in both lab and field settings.

You will own platform performance, perform maintenance, integrate POS, and deliver training and reports to customers, while collaborating with R&D and engineering to meet specifications and drive improvements.

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Vision AI Solutions Engineer in Manchester employer: Everseen

Everseen is an exceptional employer that champions innovation and collaboration in the rapidly evolving field of vision AI solutions. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive work culture that values diversity and inclusivity. Located in a vibrant tech hub, our team enjoys a dynamic environment where creativity thrives, making it an ideal place for those looking to make a meaningful impact in their careers.

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Contact Details:

Everseen Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Vision AI Solutions Engineer in Manchester

✨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 Everseen 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 Everseen.

✨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 Everseen.

✨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 Everseen 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 Vision AI Solutions Engineer in Manchester

Technical Problem Solving
Project Management
Platform Performance Management
Maintenance Skills
POS Integration
Customer Training
Report Delivery

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 Everseen.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Everseen 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 Everseen

✨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 Everseen 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.