At a Glance
- Tasks: Prototype and validate innovative hardware for industrial inspection products.
- Company: Mindtrace, a forward-thinking company in Manchester.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic environment with exciting projects and career advancement.
- Why this job: Join a team pushing the boundaries of technology in industrial inspection.
- Qualifications: Experience in machine learning and hardware development is essential.
The predicted salary is between 49500 - 60500 £ per year.
Mindtrace is seeking a Senior Machine Learning Engineer in Manchester to expand hardware and sensing for its industrial inspection products.
You will prototype, validate, and productize new hardware approaches across cameras, sensors, optics, lighting, and edge compute.
The role focuses on moving beyond 2D inspection toward richer sensing, edge deployments, and integrator-ready platforms.
You will turn ambitious ideas into repeatable systems tested outside the lab.
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Senior Industrial Vision & Edge ML Engineer in Manchester employer: Mindtrace.ai
Mindtrace is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to develop cutting-edge AI solutions. Located in a collaborative setting, we prioritise employee growth through continuous learning opportunities and a culture that values diverse perspectives. Join us to be part of a team that not only drives technological advancements but also fosters a supportive atmosphere for personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Industrial Vision & Edge ML Engineer in Manchester
✨Join Engineering Meetups!
Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Senior Industrial Vision & Edge ML Engineer role you’re after at Mindtrace.ai.
✨Show Off Your Projects!
Don’t be shy about showcasing your engineering projects. Whether it’s a funky app, a mechanical design, or a complex algorithm, having a solid portfolio on platforms like GitHub can really make you stand out. Plus, it gives potential employers at Mindtrace.ai a taste of what you can bring to the table!
✨Engage with Online Communities
Dive into engineering forums and online communities, like Reddit or specific engineering Discord channels. Sharing your insights, asking questions, and being active can help you build connections that might lead to job opportunities at Mindtrace.ai.
✨Apply Through Company Websites
When you spot a role like Senior Industrial Vision & Edge ML Engineer at Mindtrace.ai, apply directly through their website. Often, this can show your genuine interest in the company and you might just get noticed quicker than via typical job boards.
We think you need these skills to ace Senior Industrial Vision & Edge ML Engineer in Manchester
Some tips for your application 🫡
Showcase Your Technical Expertise:When applying for an engineering role like Senior Industrial Vision & Edge ML Engineer, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.
Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Mindtrace.ai a clear picture of the value you can bring.
Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Mindtrace.ai specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.
How to prepare for a job interview at Mindtrace.ai
✨Brush Up on Core Engineering Principles
Before heading into the interview with Mindtrace.ai, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
In a full-time role, employers like Mindtrace.ai want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.
✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.
