At a Glance
- Tasks: Bridge AI capabilities with customers and sales teams through workshops and demos.
- Company: Axis Communications, a leader in innovative tech solutions.
- Benefits: Hybrid role with travel opportunities and professional development.
- Other info: Dynamic role with opportunities to interact with HQ in Sweden.
- Why this job: Transform complex tech into practical value and make an impact across EMEA.
- Qualifications: Experience in AI, analytics, and strong communication skills.
The predicted salary is between 50000 - 70000 £ per year.
Axis Communications is seeking a Solutions Engineer EMEA – AI & Analytics to bridge AI capabilities with customers and sales teams.
You will translate complex tech into practical value across edge analytics, AI-enabled detection, and BI dashboards, while creating reusable enablement content for the field.
This hybrid role supports regional opportunities through workshops, demos and pilots, travelling across EMEA and interacting with HQ in Lund, Sweden.
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AI & Analytics Solutions Engineer - EMEA in Luton employer: Axis Communications
At Axis, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a TIP Program Specialist, you will have the opportunity to develop strategic partnerships across EMEA while benefiting from a supportive environment that encourages professional growth and learning. With offices in vibrant locations like Munich, Rotterdam, and Paris, we offer a dynamic workplace where your contributions directly impact our technology ecosystem and partner success.
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We think this is how you could land AI & Analytics Solutions Engineer - EMEA in Luton
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We think you need these skills to ace AI & Analytics Solutions Engineer - EMEA in Luton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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