Hands-On AI Deployment Engineer - Customer-Facing
Hands-On AI Deployment Engineer - Customer-Facing

Hands-On AI Deployment Engineer - Customer-Facing

Full-Time 51000 - 85000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the deployment of AI solutions and solve technical challenges for major enterprises.
  • Company: Innovative technology company in the UK with a focus on AI.
  • Benefits: Salary up to £85,000 plus commission and equity, with significant career growth.
  • Why this job: Directly influence customer outcomes while working with cutting-edge AI technology.
  • Qualifications: Strong Python and SQL skills, experience in AI systems, and cloud services familiarity.
  • Other info: Exciting opportunity to work closely with customers in a dynamic environment.

The predicted salary is between 51000 - 85000 £ per year.

A technology company in the United Kingdom is seeking a Forward Deployed Engineer to lead the deployment of AI solutions for major enterprises. This role involves working closely with customers to solve technical challenges while building and integrating solutions.

Ideal candidates will have:

  • Strong Python and SQL skills
  • Experience in AI-driven systems
  • Familiarity with cloud services

With a salary of up to £85,000 plus commission and equity, this role offers significant career growth and the opportunity to influence customer outcomes directly.

Hands-On AI Deployment Engineer - Customer-Facing employer: Formula Recruitment

Join a forward-thinking technology company in the UK that prioritises innovation and collaboration. As a Hands-On AI Deployment Engineer, you'll enjoy a dynamic work culture that fosters professional growth and offers competitive benefits, including a salary of up to £85,000, commission, and equity. This role not only allows you to tackle exciting technical challenges but also empowers you to make a tangible impact on customer success.
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Contact Detail:

Formula Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hands-On AI Deployment Engineer - Customer-Facing

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more connections we make, the better our chances of landing that dream role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, Python scripts, or SQL queries. This gives us a chance to demonstrate our expertise and makes us stand out from the crowd.

✨Tip Number 3

Prepare for those interviews! Research common questions for AI deployment roles and practice our responses. We can even do mock interviews with friends to boost our confidence and refine our answers.

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the job description, making it easier for employers to see why we’re the perfect fit.

We think you need these skills to ace Hands-On AI Deployment Engineer - Customer-Facing

Python
SQL
AI-driven Systems
Cloud Services
Technical Problem-Solving
Customer Engagement
Solution Integration
Deployment Engineering

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any experience with AI-driven systems. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can help us tackle technical challenges for our customers. Keep it engaging and personal.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've solved complex problems in the past. We love candidates who can think on their feet and come up with innovative solutions, especially in customer-facing situations.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at Formula Recruitment

✨Know Your Tech Inside Out

Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in AI-driven systems. This will show that you’re not just familiar with the tools but can also apply them effectively.

✨Understand the Customer's Needs

Research the company and its major clients. Understand their business challenges and think about how AI solutions could help them. During the interview, demonstrate your ability to empathise with customers and articulate how you can solve their technical challenges.

✨Showcase Your Cloud Knowledge

Familiarity with cloud services is key for this role. Be prepared to discuss your experience with different cloud platforms and how you've integrated AI solutions in those environments. Highlight any specific projects or outcomes that showcase your expertise.

✨Prepare Questions That Matter

Interviews are a two-way street. Prepare insightful questions about the company's AI strategy, team dynamics, and customer engagement processes. This not only shows your interest but also helps you gauge if the company is the right fit for you.

Hands-On AI Deployment Engineer - Customer-Facing
Formula Recruitment

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